Uber and Lyft

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pages: 343 words: 91,080

Uberland: How Algorithms Are Rewriting the Rules of Work by Alex Rosenblat

"Susan Fowler" uber, Affordable Care Act / Obamacare, Airbnb, algorithmic management, Amazon Mechanical Turk, autonomous vehicles, barriers to entry, basic income, big-box store, bike sharing, Black Lives Matter, business logic, call centre, cashless society, Cass Sunstein, choice architecture, cognitive load, collaborative economy, collective bargaining, creative destruction, crowdsourcing, data science, death from overwork, digital divide, disinformation, disruptive innovation, don't be evil, Donald Trump, driverless car, emotional labour, en.wikipedia.org, fake news, future of work, gender pay gap, gig economy, Google Chrome, Greyball, income inequality, independent contractor, information asymmetry, information security, Jaron Lanier, Jessica Bruder, job automation, job satisfaction, Lyft, marginal employment, Mark Zuckerberg, move fast and break things, Network effects, new economy, obamacare, performance metric, Peter Thiel, price discrimination, proprietary trading, Ralph Waldo Emerson, regulatory arbitrage, ride hailing / ride sharing, Salesforce, self-driving car, sharing economy, side hustle, Silicon Valley, Silicon Valley ideology, Skype, social software, SoftBank, stealth mode startup, Steve Jobs, strikebreaker, TaskRabbit, technological determinism, Tim Cook: Apple, transportation-network company, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, union organizing, universal basic income, urban planning, Wolfgang Streeck, work culture , workplace surveillance , Yochai Benkler, Zipcar

It’s no wonder that any number of Uber stakeholders might feel uneasy in their alliances with the company. After Uber and Lyft left Austin in 2016, I flew there to find out how drivers felt about being left behind. As I reported for Motherboard while conducting some of my fieldwork in spring 2016,33 Karl, a former Uber and Lyft driver, said, “They claim that it was because the background checks . . . would take too long and so on, but there is a time frame from now to February 2017 for that, so they had a lot of time to do all the background checks.” He signed up to work for GetMe, a local ridehail start-up, so he could keep working. “They [Uber and Lyft] didn’t need to shut down and leave the city like they did.”

Researchers found that users were active for 56 percent of the time on labor-intensive online platforms like Uber (as opposed to asset-intensive platforms, like Airbnb), and their reliance on it as a secondary source of income did not change over time.22 This could be because independent workers use their income to cover short-term expenses or to transition to other careers, as Hall and Krueger have argued regarding the high turnover of Uber drivers.23 One insight from my research may offer another explanation: some drivers hesitate to commit full time because they consider it a risky proposition, even if they earn more as drivers than they do working at their other jobs.24 And for some, gig work is a way to smooth over income volatility and unexpected expenses or gaps between jobs. Uber and Lyft send jobs to drivers who log in to work, and drivers are paid on time—weekly or occasionally through instant pay—which is no small thing. As a side gig, it can be used as an additive to, rather than a substitute for, other employment.25 Drivers Who Value Flexibility One of the promises of the gig economy is that workers have more flexibility to work when and as much as they want. That’s why many people start driving to earn extra income outside of their day jobs.26 Drivers for Uber and Lyft cite the flexibility—the freedom to take breaks when they want, pause to run errands, or go home and take a nap in the middle of the day—as one of the most important benefits of this job.

For Jin Deng, who formerly worked as a food delivery driver for a restaurant in New Jersey, driving for Uber and Lyft in New York City is a step up, although he’s quick to note that he drives because he didn’t go to school here and doesn’t have enough education to get a better job. Jin Deng was robbed twice in his last job, once with pepper spray that stung his eyes. As we talk, he reaches for the pocket on his cargo shorts, indicating that the thieves missed his wallet when they grabbed his bag of food and the cash he carried to make change for food deliveries. Now he’s driving a large Suburban for Uber and Lyft in New York City, and he finds that the cashless exchange of payments facilitated by the apps gives a huge boost to his perceived sense of safety on the job.


pages: 561 words: 157,589

WTF?: What's the Future and Why It's Up to Us by Tim O'Reilly

"Friedman doctrine" OR "shareholder theory", 4chan, Affordable Care Act / Obamacare, Airbnb, AlphaGo, Alvin Roth, Amazon Mechanical Turk, Amazon Robotics, Amazon Web Services, AOL-Time Warner, artificial general intelligence, augmented reality, autonomous vehicles, barriers to entry, basic income, behavioural economics, benefit corporation, Bernie Madoff, Bernie Sanders, Bill Joy: nanobots, bitcoin, Blitzscaling, blockchain, book value, Bretton Woods, Brewster Kahle, British Empire, business process, call centre, Capital in the Twenty-First Century by Thomas Piketty, Captain Sullenberger Hudson, carbon tax, Carl Icahn, Chuck Templeton: OpenTable:, Clayton Christensen, clean water, cloud computing, cognitive dissonance, collateralized debt obligation, commoditize, computer vision, congestion pricing, corporate governance, corporate raider, creative destruction, CRISPR, crowdsourcing, Danny Hillis, data acquisition, data science, deep learning, DeepMind, Demis Hassabis, Dennis Ritchie, deskilling, DevOps, Didi Chuxing, digital capitalism, disinformation, do well by doing good, Donald Davies, Donald Trump, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, fake news, Filter Bubble, Firefox, Flash crash, Free Software Foundation, fulfillment center, full employment, future of work, George Akerlof, gig economy, glass ceiling, Glass-Steagall Act, Goodhart's law, Google Glasses, Gordon Gekko, gravity well, greed is good, Greyball, Guido van Rossum, High speed trading, hiring and firing, Home mortgage interest deduction, Hyperloop, income inequality, independent contractor, index fund, informal economy, information asymmetry, Internet Archive, Internet of things, invention of movable type, invisible hand, iterative process, Jaron Lanier, Jeff Bezos, jitney, job automation, job satisfaction, John Bogle, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John Zimmer (Lyft cofounder), Kaizen: continuous improvement, Ken Thompson, Kevin Kelly, Khan Academy, Kickstarter, Kim Stanley Robinson, knowledge worker, Kodak vs Instagram, Lao Tzu, Larry Ellison, Larry Wall, Lean Startup, Leonard Kleinrock, Lyft, machine readable, machine translation, Marc Andreessen, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, McMansion, microbiome, microservices, minimum viable product, mortgage tax deduction, move fast and break things, Network effects, new economy, Nicholas Carr, Nick Bostrom, obamacare, Oculus Rift, OpenAI, OSI model, Overton Window, packet switching, PageRank, pattern recognition, Paul Buchheit, peer-to-peer, peer-to-peer model, Ponzi scheme, post-truth, race to the bottom, Ralph Nader, randomized controlled trial, RFC: Request For Comment, Richard Feynman, Richard Stallman, ride hailing / ride sharing, Robert Gordon, Robert Metcalfe, Ronald Coase, Rutger Bregman, Salesforce, Sam Altman, school choice, Second Machine Age, secular stagnation, self-driving car, SETI@home, shareholder value, Silicon Valley, Silicon Valley startup, skunkworks, Skype, smart contracts, Snapchat, Social Responsibility of Business Is to Increase Its Profits, social web, software as a service, software patent, spectrum auction, speech recognition, Stephen Hawking, Steve Ballmer, Steve Jobs, Steven Levy, Stewart Brand, stock buybacks, strong AI, synthetic biology, TaskRabbit, telepresence, the built environment, the Cathedral and the Bazaar, The future is already here, The Future of Employment, the map is not the territory, The Nature of the Firm, The Rise and Fall of American Growth, The Wealth of Nations by Adam Smith, Thomas Davenport, Tony Fadell, Tragedy of the Commons, transaction costs, transcontinental railway, transportation-network company, Travis Kalanick, trickle-down economics, two-pizza team, Uber and Lyft, Uber for X, uber lyft, ubercab, universal basic income, US Airways Flight 1549, VA Linux, warehouse automation, warehouse robotics, Watson beat the top human players on Jeopardy!, We are the 99%, web application, Whole Earth Catalog, winner-take-all economy, women in the workforce, Y Combinator, yellow journalism, zero-sum game, Zipcar

In the long run, Uber and Lyft are not competing with taxicab companies, but with car ownership. After all, if you can summon a car and driver at low cost via the touch of a button on your phone, why should you bother owning one at all, especially if you live in the city? Uber and Lyft do for car ownership what music services like Spotify did for music CDs, and Netflix and Amazon Prime did for DVDs. They are replacing ownership with access. “I tell people I live in LA like it’s New York. Uber and Lyft are my public transit station,” said one customer in Los Angeles. Uber and Lyft also replace ownership with access for the companies themselves.

Drivers provide their own cars, earning additional income from a resource they have already paid for that is often idle, or allowing them to help pay for a resource that they are then able to use in other parts of their lives. Meanwhile, Uber and Lyft avoid the capital expense of owning their own fleets of cars. Passengers Who Expect Transportation On Demand. Much as Michael Schrage outlined in Who Do You Want Your Customers to Become?, Uber and Lyft are asking their consumers to become the kind of people who expect a car to be available as easily as they had previously come to expect access to online content. They are asking them to redraw their map of how the world works. Uber and Lyft recognized early on that many young urban professionals had already given up on owning a car, but for their business to spread beyond major urban centers and wealthy demographics, they would need more people to accept this premise and make the switch.

Unlike the taxi industry, which creates an artificial scarcity by issuing a limited number of “medallions,” Uber and Lyft use market mechanisms to find the optimum number of drivers, with an algorithm that raises prices if there are not enough drivers on the road in a particular location or at a particular time. While customers initially complained, using market forces to balance the competing desires of buyers and sellers has helped Uber and Lyft to achieve an equilibrium of supply and demand in close to real time. There are other signals in addition to surge pricing that Uber and Lyft use to tell drivers that more (or fewer) of them are needed.


pages: 296 words: 83,254

After the Gig: How the Sharing Economy Got Hijacked and How to Win It Back by Juliet Schor, William Attwood-Charles, Mehmet Cansoy

1960s counterculture, Airbnb, algorithmic management, Amazon Mechanical Turk, American Legislative Exchange Council, back-to-the-land, barriers to entry, bike sharing, Californian Ideology, carbon footprint, clean tech, collaborative consumption, collaborative economy, Community Supported Agriculture, COVID-19, creative destruction, crowdsourcing, deskilling, driverless car, en.wikipedia.org, financial independence, future of work, gentrification, George Gilder, gig economy, global supply chain, global village, haute cuisine, income inequality, independent contractor, information asymmetry, Intergovernmental Panel on Climate Change (IPCC), Jean Tirole, Jeff Bezos, jitney, job satisfaction, John Perry Barlow, John Zimmer (Lyft cofounder), Kevin Kelly, Lyft, Marshall McLuhan, Mason jar, mass incarceration, Mitch Kapor, Network effects, new economy, New Urbanism, Occupy movement, peer-to-peer rental, Post-Keynesian economics, precariat, profit maximization, profit motive, race to the bottom, regulatory arbitrage, rent gap, rent-seeking, ride hailing / ride sharing, Ruby on Rails, selection bias, sharing economy, Silicon Valley, Silicon Valley ideology, Skype, smart cities, social distancing, Stewart Brand, TaskRabbit, technological determinism, technoutopianism, Telecommunications Act of 1996, The Nature of the Firm, the payments system, Tragedy of the Commons, transaction costs, transportation-network company, Travis Kalanick, two-sided market, Uber and Lyft, Uber for X, uber lyft, urban planning, wage slave, walking around money, Whole Earth Catalog, women in the workforce, working poor, Yochai Benkler, Zipcar

And pooled services like UberPool and LyftLine barely made a difference: their additional miles are 2.6. City-specific estimates come to similar conclusions. A San Francisco study that looked at how things changed from 2010 (before Uber and Lyft) to 2016 found that VMT rose 13 percent, half of which is attributable to the platforms.32 By 2016, ride-hail vehicles accounted for 15 percent of all trips within the city. Even Uber and Lyft now admit they are increasing congestion. A 2019 report they funded found that while they are still a small proportion of total VMT (1 to 3 percent across six metropolitan regions), their impact can be as high as 8 percent (Boston) or 13 percent (San Francisco).33 These findings contrast with early claims.

By breaking the law, Uber and Lyft destroyed that viability, and we’re now seeing their drivers subjected to a similar race-to-the-bottom.27 And what the ideological high ground can’t accomplish, money can. The biggest platforms, again with Uber in the lead, have employed an army of lobbyists and public relations firms to fight even minor changes. In response to a modest proposed California law to fill the gap in insurance coverage when a driver has the app on but isn’t on a fare, Uber hired fourteen of the fifteen biggest Sacramento lobbying firms.28 In 2017 Uber and Lyft had more lobbyists than Amazon, Microsoft, and Walmart combined.29 Airbnb has also been active trying to stop laws that limit rental activity or mandate the collection of hotel and occupancy taxes.

Washington, DC: Kalmanowitz Initiative for Labor and the Working Poor, Georgetown University. https://lwp.georgetown.edu/wp-content/uploads/Uber-Workplace.pdf. White, Andy, and Dana Olsen. 2018. “Here’s Where Uber and Lyft Would Rank among the Decade’s Most Valuable VC-Backed IPOs.” Pitchbook: News and Analysis, October 16, 2018. https://pitchbook.com/news/articles/heres-where-uber-and-lyft-would-rank-among-the-decades-most-valuable-vc-backed-ipos. Whyte, William H. 1956. The Organization Man. New York: Simon and Schuster. Wilhelm, Alex. 2019. “Postmates Raises $225M More at $2.4B Valuation Despite Private IPO Filing.”


pages: 265 words: 69,310

What's Yours Is Mine: Against the Sharing Economy by Tom Slee

4chan, Airbnb, Amazon Mechanical Turk, asset-backed security, barriers to entry, Benchmark Capital, benefit corporation, Berlin Wall, big-box store, bike sharing, bitcoin, blockchain, Californian Ideology, citizen journalism, collaborative consumption, commons-based peer production, congestion charging, Credit Default Swap, crowdsourcing, data acquisition, data science, David Brooks, democratizing finance, do well by doing good, don't be evil, Dr. Strangelove, emotional labour, Evgeny Morozov, gentrification, gig economy, Hacker Ethic, impact investing, income inequality, independent contractor, informal economy, invisible hand, Jacob Appelbaum, Jane Jacobs, Jeff Bezos, John Zimmer (Lyft cofounder), Kevin Roose, Khan Academy, Kibera, Kickstarter, license plate recognition, Lyft, machine readable, Marc Andreessen, Mark Zuckerberg, Max Levchin, move fast and break things, natural language processing, Netflix Prize, Network effects, new economy, Occupy movement, openstreetmap, Paul Graham, peer-to-peer, peer-to-peer lending, Peter Thiel, pre–internet, principal–agent problem, profit motive, race to the bottom, Ray Kurzweil, recommendation engine, rent control, ride hailing / ride sharing, sharing economy, Silicon Valley, Snapchat, software is eating the world, South of Market, San Francisco, TaskRabbit, TED Talk, the Cathedral and the Bazaar, the long tail, The Nature of the Firm, Thomas L Friedman, transportation-network company, Travis Kalanick, Tyler Cowen, Uber and Lyft, Uber for X, uber lyft, ultimatum game, urban planning, WeWork, WikiLeaks, winner-take-all economy, Y Combinator, Yochai Benkler, Zipcar

Uber is ambitious: it has explored many variants on its driving services from carpooling to high-end luxury services, as well as delivery and ­logistics, but for now UberX makes up the bulk of its business. It makes sense to talk of Uber and Lyft in the same breath, despite their different images, because they have ended up offering essentially the same service. When, after a campaign by Peers and others, California became the first state to create a separate set of rules for what it called Transportation Network Companies (TNCs), Uber and Lyft were the main beneficiaries.21 The TNC framework has since been adopted by Colorado, as well as Seattle, Minneapolis, Austin, Houston, and Washington.

Racism manifests itself differently in different environments, and the better experience of black customers is an unintended side-effect of Uber’s system. Uber drivers are not told where to drive, so they may avoid what they consider as “sketchy” parts of town, and both Uber and Lyft have been accused of “redlining”: not providing services to poor and minority neighborhoods.68 Numerous comments on social media suggest that one of the appeals of Uber and Lyft to young and well-off early adopters was that the drivers matched their age, educational-level, and social background more than did taxi drivers. Instead of being driven by a middle-aged immigrant man who had 60 hours on the clock that week, you could be picked up by “a friend with a car,” more likely to be female, more likely to be well educated, and more likely to be white.69 As the companies have expanded, however, the driver population more closely matches taxi drivers and this opportunity to discriminate has faded.

But what comes out of this is that the real story is a long way from $90,000, even though that number is still out there (Guendelsberger refers to “that $90,000 a year figure that so many passengers asked about”). Uber drivers appear to take home about the same as a taxi driver once expenses are figured in, while Uber itself has stepped in and takes as much of the fare as do medallion holders. One of the complaints that taxi companies have against Uber and Lyft is that they are subject to different standards, and that the taxi standards are more onerous than those that the ridesharing companies have to follow. Uber maintains that its drivers are subject to a thorough screening process, but a series of assaults on the service has put this largely automated process under scrutiny.


pages: 349 words: 98,309

Hustle and Gig: Struggling and Surviving in the Sharing Economy by Alexandrea J. Ravenelle

active transport: walking or cycling, Affordable Care Act / Obamacare, air traffic controllers' union, Airbnb, Amazon Mechanical Turk, barriers to entry, basic income, Broken windows theory, call centre, Capital in the Twenty-First Century by Thomas Piketty, cashless society, Clayton Christensen, clean water, collaborative consumption, collective bargaining, company town, creative destruction, crowdsourcing, digital divide, disruptive innovation, Downton Abbey, East Village, Erik Brynjolfsson, full employment, future of work, gentrification, gig economy, Howard Zinn, income inequality, independent contractor, informal economy, job automation, John Zimmer (Lyft cofounder), low skilled workers, Lyft, minimum wage unemployment, Mitch Kapor, Network effects, new economy, New Urbanism, obamacare, Panopticon Jeremy Bentham, passive income, peer-to-peer, peer-to-peer model, performance metric, precariat, rent control, rent stabilization, ride hailing / ride sharing, Ronald Reagan, scientific management, sharing economy, side hustle, Silicon Valley, strikebreaker, TaskRabbit, TED Talk, telemarketer, the payments system, The Theory of the Leisure Class by Thorstein Veblen, Tim Cook: Apple, transaction costs, Travis Kalanick, Triangle Shirtwaist Factory, Uber and Lyft, Uber for X, uber lyft, ubercab, universal basic income, Upton Sinclair, urban planning, vertical integration, very high income, white flight, working poor, Zipcar

In Sarah’s experience, TaskRabbit’s algorithm highlights people with high acceptance rates or high availability. “They want you on call for free,” she said, before describing her schedule instability as “frustrating. . . . [Y]ou are always thinking, ‘Oh, in five months I am going to be [sleeping] on a bench somewhere.’” Baran, twenty-eight, is a college student at a local university who drives for Uber and Lyft. In New York, app-based drivers have the same insurance and licensing requirements as taxi drivers, a cost that usually runs several thousand dollars. To sidestep this considerable start-up expense and the associated annual costs, some drivers rent a licensed, insured, and Uber-approved car through local services or utilize Uber’s fleet-owner and driver matching service.

Although early sites such as couchsurfing.com and ShareSomeSugar.com didn’t charge fees, most current “sharing economy” sites do charge them. An Airbnb host isn’t so much “sharing” her home or “hosting guests” as she is renting her home out. TaskRabbit assistants and Kitchensurfing chefs aren’t “sharing” their services but being paid. Likewise, even though Uber and Lyft describe themselves as “ride-sharing,” charging for private vehicle transportation is simply a taxi or chauffer service by any other name. While Lyft (slogan: “Your friend with a car”) originally encouraged riders to “sit in the front seat like a friend, rather than in the backseat like a fare,” such “friendship” didn’t eliminate the need to pay the fare.12 The reinvention of terms isn’t limited to the companies themselves but can also carry over into descriptions of the services by researchers.

Approximately half of the Uber drivers I interviewed were immigrants. An equal number of drivers identified as white (21 percent) and black (21 percent), while 14 percent described themselves as Hispanic and one driver was racially mixed.85 In the same way that a high percentage of cab drivers in New York are male (estimates range from 90 to 97 percent), all Uber and Lyft participants were male. Their ages ranged from twenty-two to fifty-nine, with 60 percent falling between twenty and thirty-nine years of age; the average age was thirty-six. Of those who answered education questions, 50 percent had at least a bachelor’s degree. Two participants listed their educational level as “some college,” one individual was currently enrolled in a local college, one had an associate’s degree, and one had a GED.


pages: 375 words: 88,306

The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism by Arun Sundararajan

"World Economic Forum" Davos, additive manufacturing, Airbnb, AltaVista, Amazon Mechanical Turk, asset light, autonomous vehicles, barriers to entry, basic income, benefit corporation, bike sharing, bitcoin, blockchain, book value, Burning Man, call centre, Carl Icahn, collaborative consumption, collaborative economy, collective bargaining, commoditize, commons-based peer production, corporate social responsibility, cryptocurrency, data science, David Graeber, distributed ledger, driverless car, Eben Moglen, employer provided health coverage, Erik Brynjolfsson, Ethereum, ethereum blockchain, Frank Levy and Richard Murnane: The New Division of Labor, future of work, general purpose technology, George Akerlof, gig economy, housing crisis, Howard Rheingold, independent contractor, information asymmetry, Internet of things, inventory management, invisible hand, job automation, job-hopping, John Zimmer (Lyft cofounder), Kickstarter, knowledge worker, Kula ring, Lyft, Marc Andreessen, Mary Meeker, megacity, minimum wage unemployment, moral hazard, moral panic, Network effects, new economy, Oculus Rift, off-the-grid, pattern recognition, peer-to-peer, peer-to-peer lending, peer-to-peer model, peer-to-peer rental, profit motive, public intellectual, purchasing power parity, race to the bottom, recommendation engine, regulatory arbitrage, rent control, Richard Florida, ride hailing / ride sharing, Robert Gordon, Ronald Coase, Ross Ulbricht, Second Machine Age, self-driving car, sharing economy, Silicon Valley, smart contracts, Snapchat, social software, supply-chain management, TaskRabbit, TED Talk, the long tail, The Nature of the Firm, total factor productivity, transaction costs, transportation-network company, two-sided market, Uber and Lyft, Uber for X, uber lyft, universal basic income, Vitalik Buterin, WeWork, Yochai Benkler, Zipcar

I’m pretty close with some hotel executives; they don’t seem to be overly concerned.” Indeed, as Alison Griswold from Slate magazine documents, the hotel industry in 2014–15 enjoyed their highest-ever levels of occupancy and average daily room prices.29 The same is not true of Uber and Lyft’s impact on traditional taxicabs. The key difference is that, rather than being merely a differentiated service, Uber and Lyft also display higher quality across the board on most dimensions that customer value, except perhaps the ability to hail a car on the street. This does not negate the point I’m making—the increase in variety will increase consumption.

Slate, July 6, 2015. http://www.slate.com/articles/business/moneybox/2015/07/airbnb_disrupting_hotels_it_hasn_t_happened_yet_and_both_are_thriving_what.html. 30. Jennifer Surane, “New York’s Taxi Medallion Business Is Hurting. Thanks to Uber and Lyft.” Skift, July 15, 2015. http://skift.com/2015/07/15/new-yorks-taxi-medallion-business-is-hurting-thanks-to-uber-and-lyft. 31. Josh Barro, “Taxi Mogul, Filing Bankruptcy, Sees Uber-Citibank Plot,” New York Times, July 22, 2015. http://www.nytimes.com/2015/07/23/upshot/taxi-mogul-filing-bankruptcy-sees-a-uber-citibank-plot.html?abt=0002&abg=1. 32. Andrey Fradkin, “Search Frictions and the Design of Online Marketplaces,” September 30, 2015. http://andreyfradkin.com/assets/SearchFrictions.pdf. 33.

Uber Technologies, Inc. et al https://dockets.justia.com/docket/california/candce/4:2013cv03826/269290. Judge Chen’s decision (filing #251) is available at https://docs.justia.com/cases/federal/district-courts/california/candce/3:2013cv03826/269290/251. 4. Quoted in Dan Levine and Edward Chan, “Uber and Lyft Fail to Convince Judges,” Business Insider, March 2015. http://www.businessinsider.com/uber-and-lyft-fail-to-convince-judges-their-employees-are-independent-contractors-2015-3#ixzz3UIFTYbVy. 5. I have heard Teran discuss this at two separate events in the second half of 2015: the TAP Conference in New York on October 1, and the White House Summit on Worker Voice, October 7.


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The Upstarts: How Uber, Airbnb, and the Killer Companies of the New Silicon Valley Are Changing the World by Brad Stone

Affordable Care Act / Obamacare, Airbnb, Amazon Web Services, Andy Kessler, autonomous vehicles, Ben Horowitz, Benchmark Capital, Boris Johnson, Burning Man, call centre, Chuck Templeton: OpenTable:, collaborative consumption, data science, Didi Chuxing, Dr. Strangelove, driverless car, East Village, fake it until you make it, fixed income, gentrification, Google X / Alphabet X, growth hacking, Hacker News, hockey-stick growth, housing crisis, inflight wifi, Jeff Bezos, John Zimmer (Lyft cofounder), Justin.tv, Kickstarter, Lyft, Marc Andreessen, Marc Benioff, Mark Zuckerberg, Menlo Park, Mitch Kapor, Necker cube, obamacare, PalmPilot, Paul Graham, peer-to-peer, Peter Thiel, power law, race to the bottom, rent control, ride hailing / ride sharing, Ruby on Rails, San Francisco homelessness, Sand Hill Road, self-driving car, semantic web, sharing economy, side project, Silicon Valley, Silicon Valley startup, Skype, SoftBank, South of Market, San Francisco, Startup school, Steve Jobs, TaskRabbit, tech bro, TechCrunch disrupt, Tony Hsieh, transportation-network company, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, ubercab, Y Combinator, Y2K, Zipcar

In 2013, Boston plaintiff lawyer Shannon Liss-Riordan brought such lawsuits against Uber and Lyft in the two states where she thought the law was most favorable, California and Massachusetts. She had previously brought similar, largely unsuccessful cases against FedEx and several yellow-cab companies. Uber’s claim that it was facilitating a whole new kind of internet-enabled, on-demand work bothered her. “The mere fact that there is flexibility does not mean that the people who are doing the jobs shouldn’t get benefits and the protections of employment,” she says. “That is the reason we have these laws.” Both Uber and Lyft tenaciously fought against the cases, arguing that the great majority of their drivers didn’t actually consider themselves full-time chauffeurs and wanted to remain independent and free to take other work.

Uber agreed to pay as much as $100 million to a group of tens of thousands of drivers and to institute new policies, such as giving drivers explanations if they violated company rules and got kicked off the app and creating an appeals process for those decisions. But Uber and Lyft drivers were going to remain contractors. “Drivers value their independence—the freedom to push a button rather than punch a clock, to use Uber and Lyft simultaneously, to drive most of the week or for just a few hours,” wrote Kalanick in a blog post titled “Growing and Growing Up” that announced the settlement. He conceded that the company hadn’t “always done a good job working with drivers,” but reiterated that Uber presented “a new way of working: it’s about people having the freedom to start and stop work when they want, at the push of a button.”

Eric Newcomer and Olivia Zaleski, “Inside Uber’s Auto-Lease Machine, Where Almost Anyone Can Get a Car,” Bloomberg.com, May 31, 2016, http://www.bloomberg.com/news/articles/2016-05-31/inside-uber-s-auto-lease-machine-where-almost-anyone-can-get-a-car. 7. Ryan Lawler, “Uber Slashes UberX Fares in 16 Markets to Make It the Cheapest Car Service Available Anywhere,” TechCrunch, January 9, 2014, http://techcrunch.com/2014/01/09/big-uberx-price-cuts/. 8. Ellen Huet, “How Uber and Lyft Are Trying to Kill Each Other,” Forbes, May 30, 2014, http://www.forbes.com/sites/ellenhuet/2014/05/30/how-uber-and-lyft-are-trying-to-kill-each-other/#4a7e6b063ba8. 9. Carolyn Tyler, “Mother of Girl Fatally Struck by Uber Driver Speaks Out,” ABC7 News, December 9, 2014, http://abc7news.com/business/mother-of-girl-fatally-struck-by-uber-driver-speaks-out/429535/. 10.


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The Business of Platforms: Strategy in the Age of Digital Competition, Innovation, and Power by Michael A. Cusumano, Annabelle Gawer, David B. Yoffie

activist fund / activist shareholder / activist investor, Airbnb, AltaVista, Amazon Web Services, AOL-Time Warner, asset light, augmented reality, autonomous vehicles, barriers to entry, bitcoin, blockchain, business logic, Cambridge Analytica, Chuck Templeton: OpenTable:, cloud computing, collective bargaining, commoditize, CRISPR, crowdsourcing, cryptocurrency, deep learning, Didi Chuxing, distributed ledger, Donald Trump, driverless car, en.wikipedia.org, fake news, Firefox, general purpose technology, gig economy, Google Chrome, GPS: selective availability, Greyball, independent contractor, Internet of things, Jeff Bezos, Jeff Hawkins, John Zimmer (Lyft cofounder), Kevin Roose, Lean Startup, Lyft, machine translation, Mark Zuckerberg, market fundamentalism, Metcalfe’s law, move fast and break things, multi-sided market, Network effects, pattern recognition, platform as a service, Ponzi scheme, recommendation engine, Richard Feynman, ride hailing / ride sharing, Robert Metcalfe, Salesforce, self-driving car, sharing economy, Silicon Valley, Skype, Snapchat, SoftBank, software as a service, sovereign wealth fund, speech recognition, stealth mode startup, Steve Ballmer, Steve Jobs, Steven Levy, subscription business, Susan Wojcicki, TaskRabbit, too big to fail, transaction costs, transport as a service, Travis Kalanick, two-sided market, Uber and Lyft, Uber for X, uber lyft, vertical integration, Vision Fund, web application, zero-sum game

By mid-2015, Uber had expanded to 300 cities around the world and had signed up its one-millionth driver, including over 150,000 active UberX drivers in the United States, and claimed to cover 75 percent of the U.S. population.11 Lyft had expanded to 65 cities with 100,000 drivers, all in the United States, by March 2015.12 With Uber and Lyft in the market, competition for drivers and riders was fierce. Both Uber and Lyft aggressively recruited drivers, offering cash bonuses of up to $500 or even $1,000 for drivers who switched from another ride-sharing platform, including Sidecar. Current drivers also received bonuses by referring drivers from another platform. Riders received credits for their first ride and additional credits when they referred other riders. Uber and Lyft periodically cut fares to attract riders. Although the companies claimed that increased ridership would more than make up for the reduced fares in putting money in drivers’ pockets, they took additional steps to avoid alienating drivers when they cut fares.

The company anticipated that the majority of revenues going forward would come from deliveries of food, flowers, and even medical marijuana rather than rides, a tacit admission that it had lost its battle to compete with the larger and more well-known ride-hailing platforms Uber and Lyft.3 That pivot failed to pay off, and the company announced it would suspend operations entirely on December 31. The next month it announced that it had sold the bulk of its assets and licensed its intellectual property to General Motors, which was in the process of developing its own transportation service.4 Sidecar never became a household name. Its failure was nonetheless significant because Sidecar had pioneered the peer-to-peer ride-sharing model before Uber and Lyft transitioned their start-ups into the space. By 2015, ride-sharing platforms—where smartphone apps connected riders with nonprofessional drivers operating their personal vehicles—had become a pillar of the sharing, or gig, economy, despite the fact that such platforms had only existed for three years.

When Uber cut its fares by 20 percent in January 2014, for instance, it reduced its commission on each ride from 20 percent to 5 percent until April, when it raised its commission back to 20 percent on the new, lower fares. Lyft followed suit, dropping its fares by 20 percent in April 2014, and reducing its commission to zero. On and off again subsidies for drivers increased the number available on both Uber and Lyft. Uber and Lyft both lost money as they pursued aggressive growth strategies and incurred enormous costs just to find and replace drivers. For example, as we noted in Chapter 3, Uber in 2017 lost $4.5 billion despite gross booking revenues of $37 billion. Although Lyft and Uber were primarily targeting each other in their aggressive strategies, Sidecar was caught in the cross fire and attempted to match some of its rivals’ tactics to induce more drivers to use its platform.


pages: 362 words: 97,288

Ghost Road: Beyond the Driverless Car by Anthony M. Townsend

A Pattern Language, active measures, AI winter, algorithmic trading, Alvin Toffler, Amazon Robotics, asset-backed security, augmented reality, autonomous vehicles, backpropagation, big-box store, bike sharing, Blitzscaling, Boston Dynamics, business process, Captain Sullenberger Hudson, car-free, carbon footprint, carbon tax, circular economy, company town, computer vision, conceptual framework, congestion charging, congestion pricing, connected car, creative destruction, crew resource management, crowdsourcing, DARPA: Urban Challenge, data is the new oil, Dean Kamen, deep learning, deepfake, deindustrialization, delayed gratification, deliberate practice, dematerialisation, deskilling, Didi Chuxing, drive until you qualify, driverless car, drop ship, Edward Glaeser, Elaine Herzberg, Elon Musk, en.wikipedia.org, extreme commuting, financial engineering, financial innovation, Flash crash, food desert, Ford Model T, fulfillment center, Future Shock, General Motors Futurama, gig economy, Google bus, Greyball, haute couture, helicopter parent, independent contractor, inventory management, invisible hand, Jane Jacobs, Jeff Bezos, Jevons paradox, jitney, job automation, John Markoff, John von Neumann, Joseph Schumpeter, Kickstarter, Kiva Systems, Lewis Mumford, loss aversion, Lyft, Masayoshi Son, megacity, microapartment, minimum viable product, mortgage debt, New Urbanism, Nick Bostrom, North Sea oil, Ocado, openstreetmap, pattern recognition, Peter Calthorpe, random walk, Ray Kurzweil, Ray Oldenburg, rent-seeking, ride hailing / ride sharing, Rodney Brooks, self-driving car, sharing economy, Shoshana Zuboff, Sidewalk Labs, Silicon Valley, Silicon Valley startup, Skype, smart cities, Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, SoftBank, software as a service, sovereign wealth fund, Stephen Hawking, Steve Jobs, surveillance capitalism, technological singularity, TED Talk, Tesla Model S, The Coming Technological Singularity, The Death and Life of Great American Cities, The future is already here, The Future of Employment, The Great Good Place, too big to fail, traffic fines, transit-oriented development, Travis Kalanick, Uber and Lyft, uber lyft, urban planning, urban sprawl, US Airways Flight 1549, Vernor Vinge, vertical integration, Vision Fund, warehouse automation, warehouse robotics

Take San Francisco, for instance, ride-hail’s birthplace and the city where people have most eagerly embraced it. By 2016, one-quarter of all vehicle congestion citywide was blamed on Uber and Lyft’s fleets. Fully one-half of the increase in traffic since 2010 was attributed to the ride-hail giants. More alarming than the overall trend were the localized spikes. In the city’s downtown financial district, for instance, Uber and Lyft accounted for a whopping 73 percent of the increased traffic in recent years. Reprogramming mobility had eliminated a decade’s worth of painstaking work by transit agencies, cycling advocates, and walkability planners to reduce auto use.

As cyberpunk novelist William Gibson once famously said, “The future is already here—it’s just not very evenly distributed.” The first changes we notice will occur in taxis. Most market analysts agree that all taxis in the industrialized nations will be automated by 2030. In the US, that’s 300,000 vehicles. Add in all the Ubers and Lyfts and the total is closer to 1,000,000 in all. Swarming from our airports and resorts through our most beloved downtowns, driverless cabs could become the face of automation for a generation, and the gateway drug to driverless mobility for billions of passengers every year. The arrival of driverless cabs could radically change consumers’ perception of cars.

The scheme seemed too crazy to work—until it did. And with its decentralized approach to rebalancing, Bird’s scooter network expanded even more rapidly than dockless bike-share systems had the previous summer. There was a big problem though. Bird soon found itself with the same challenge confronting ridehail operators Uber and Lyft. Workers were taking home all the profits. Here’s where automation comes in. The Google gang’s facetious scenario incorrectly assumed that the killer app for self-driving bikes was hauling lazy people around. The shift to dockless revealed something altogether. Automation was the key to corralling thousands of wayward rides on the cheap.


pages: 311 words: 90,172

Nothing But Net by Mark Mahaney

Airbnb, AltaVista, Amazon Web Services, AOL-Time Warner, augmented reality, autonomous vehicles, Big Tech, Black Swan, Burning Man, buy and hold, Cambridge Analytica, Chuck Templeton: OpenTable:, cloud computing, COVID-19, cryptocurrency, discounted cash flows, disintermediation, diversification, don't be evil, Donald Trump, Elon Musk, financial engineering, gamification, gig economy, global pandemic, Google Glasses, Jeff Bezos, John Zimmer (Lyft cofounder), knowledge economy, lockdown, low interest rates, Lyft, Marc Andreessen, Mark Zuckerberg, Mary Meeker, medical malpractice, meme stock, Network effects, PageRank, pets.com, ride hailing / ride sharing, Salesforce, Saturday Night Live, shareholder value, short squeeze, Silicon Valley, Skype, Snapchat, social graph, Steve Jobs, stocks for the long run, subscription business, super pumped, the rule of 72, TikTok, Travis Kalanick, Uber and Lyft, uber lyft

Although the Covid-19 crisis did have a materially negative impact on demand for the two leading US ridesharing services, Uber and Lyft shares were under pressure long before the pandemic because of the large losses both companies were running. In 2019, Lyft generated $2.6 billion in net income loss, while Uber generated $8.6 billion in net loss. These loss levels were practically unprecedented. And in the quarters post their IPOs, there was substantial uncertainty whether Uber and Lyft would ever be profitable. That uncertainty was exactly what Brown’s comments captured. It is striking that UBER then traded up almost 70% in 2020.

I tend to weigh four factors most heavily in coming up with the best comps for a profitless company: scale (companies with similar-sized revenue bases), growth (companies with similar revenue growth outlooks), gross margin, and long-term operating or EBITDA margin potential. Rarely are there perfect comps, but usually there are enough companies to come up with a reasonable range of multiples that can help determine whether a profitless company’s valuation is ballpark reasonable, at least based on comps. Uber and Lyft This brings us back to Uber and Lyft and the “fantasy valuation” that we talked about at the start of this lesson. Again, both these companies went public in 2019 in the wake of substantial losses. Neither company was expected to generate a material profit in the near future. The 10-year DCF I published in my UBER initiation report didn’t have EBITDA or free cash flow turning positive until 2023.

As a rule of thumb, a company with a single-digit percentage share of a large TAM might be an ideal candidate for tech investors to consider. TAMs can be expanded. By removing friction and by adding new use cases, TAMs can be made larger. That’s essentially what Uber and Lyft did over the years. By lowering prices, increasing the number of drivers on its platform, reducing wait times, and making payments and tipping seamless, Uber and Lyft expanded the use cases for and the appeal of ridesharing. There are also two specific steps that companies can take to expand their TAMs—expand into new geographic markets and generate new revenue streams. Sometimes TAMs are hard to ascertain, especially when a traditional industry is being disrupted, and creative new approaches are required.


pages: 295 words: 81,861

Road to Nowhere: What Silicon Valley Gets Wrong About the Future of Transportation by Paris Marx

2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, A Declaration of the Independence of Cyberspace, Airbnb, An Inconvenient Truth, autonomous vehicles, back-to-the-land, Berlin Wall, Bernie Sanders, bike sharing, Californian Ideology, car-free, carbon credits, carbon footprint, cashless society, clean tech, cloud computing, colonial exploitation, computer vision, congestion pricing, corporate governance, correlation does not imply causation, COVID-19, DARPA: Urban Challenge, David Graeber, deep learning, degrowth, deindustrialization, deskilling, Didi Chuxing, digital map, digital rights, Donald Shoup, Donald Trump, Douglas Engelbart, Douglas Engelbart, driverless car, Elaine Herzberg, Elon Musk, energy transition, Evgeny Morozov, Extinction Rebellion, extractivism, Fairchild Semiconductor, Ford Model T, frictionless, future of work, General Motors Futurama, gentrification, George Gilder, gig economy, gigafactory, global pandemic, global supply chain, Google Glasses, Google X / Alphabet X, green new deal, Greyball, high-speed rail, Hyperloop, independent contractor, Induced demand, intermodal, Jane Jacobs, Jeff Bezos, jitney, John Perry Barlow, Kevin Kelly, knowledge worker, late capitalism, Leo Hollis, lockdown, low interest rates, Lyft, Marc Benioff, market fundamentalism, minimum viable product, Mother of all demos, move fast and break things, Murray Bookchin, new economy, oil shock, packet switching, Pacto Ecosocial del Sur, Peter Thiel, pre–internet, price mechanism, private spaceflight, quantitative easing, QWERTY keyboard, Ralph Nader, Richard Florida, ride hailing / ride sharing, Ronald Reagan, safety bicycle, Salesforce, School Strike for Climate, self-driving car, Sidewalk Labs, Silicon Valley, Silicon Valley billionaire, Silicon Valley ideology, Silicon Valley startup, smart cities, social distancing, Southern State Parkway, Steve Jobs, Stewart Brand, Stop de Kindermoord, streetcar suburb, tech billionaire, tech worker, techlash, technological determinism, technological solutionism, technoutopianism, the built environment, The Death and Life of Great American Cities, TikTok, transit-oriented development, transportation-network company, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, Unsafe at Any Speed, urban planning, urban renewal, VTOL, walkable city, We are as Gods, We wanted flying cars, instead we got 140 characters, WeWork, Whole Earth Catalog, Whole Earth Review, work culture , Yom Kippur War, young professional

In September 2019, the decision was codified into law when California’s state legislature passed Assembly Bill 5, which set a deadline of January 1, 2020, for employers to reclassify their workers—and the emphasis was placed on companies in the gig economy, including Uber and Lyft. January 1 came and went without gig workers’ status changing, but they kept pushing lawmakers to ensure the law was observed. In May 2020, California’s attorney general and the city attorneys for San Francisco, Los Angeles, and San Diego took Uber and Lyft to court for misclassifying their workers, and the following month the PUC ruled that drivers for Uber and Lyft were employees, not contractors. On August 10, a judge ruled that the companies had ten days to reclassify their workers as employees, but at the last minute the ruling was delayed until after the election on November 3.

The medallions cost $250,000 and drivers had to scrape together a 5 percent deposit, but the city promised them it was a safe investment. Yet, just a few years after drivers had taken on those large debts, Uber and Lyft entered the market and the city did not hold up its end of the bargain. Not only did taxi drivers’ lives fall apart in the years following the swift transformation of their industry to serve the interests of multinational ride-hailing companies, but some felt there was no getting out of the hole they then found themselves in. A driver in Chicago told NBC News in 2018 that he had colleagues die of heart attacks and strokes after Uber and Lyft left them in dire financial straits. That same year, four taxi drivers, three livery drivers, and an Uber driver committed suicide in New York City.21 The most high-profile of those suicides was that of Douglas Schifter.

In Boston, it was estimated that 54 percent of the trips that users took on ride-hailing services would have been made by taking transit, cycling, or walking if the services had not been available, and 5 percent of trips would not have happened at all.12 Meanwhile, a larger survey that covered Boston, Chicago, Los Angeles, New York, San Francisco, Seattle, and Washington, DC similarly found that between 49 and 61 percent of trips on ride-hailing services pulled people from those more efficient transport modes or would not have happened if ride-hailing services had not been available. The researchers also found that people using Uber were very unlikely to get rid of their personal vehicles.13 This shows that Uber is not reducing congestion or vehicle ownership, and it is also unlikely to reduce transport emissions or to complement traditional public transit. All the Uber and Lyft vehicles that flooded North American streets also made transit services less reliable and less efficient. Buses get stuck in traffic more often and, naturally, riders then start to look for alternatives. In Toronto, less than half of ride-hailing users had a transit pass, compared to just over one-third in Boston,14 and a study of twenty-two US cities estimated that the entry of Uber or Lyft reduced the ridership of buses and heavy rail every year they operated.15 It should go without saying that taking people from transit and putting them in cars not only makes traffic worse, it also increases the environmental footprint of a trip.


pages: 524 words: 154,652

Blood in the Machine: The Origins of the Rebellion Against Big Tech by Brian Merchant

"World Economic Forum" Davos, Ada Lovelace, algorithmic management, Amazon Mechanical Turk, Any sufficiently advanced technology is indistinguishable from magic, autonomous vehicles, basic income, Bernie Sanders, Big Tech, big-box store, Black Lives Matter, Cambridge Analytica, Charles Babbage, ChatGPT, collective bargaining, colonial rule, commoditize, company town, computer age, computer vision, coronavirus, cotton gin, COVID-19, cryptocurrency, DALL-E, decarbonisation, deskilling, digital rights, Donald Trump, Edward Jenner, Elon Musk, Erik Brynjolfsson, factory automation, flying shuttle, Frederick Winslow Taylor, fulfillment center, full employment, future of work, George Floyd, gig economy, gigafactory, hiring and firing, hockey-stick growth, independent contractor, industrial robot, information asymmetry, Internet Archive, invisible hand, Isaac Newton, James Hargreaves, James Watt: steam engine, Jeff Bezos, Jessica Bruder, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Kevin Roose, Kickstarter, Lyft, Mark Zuckerberg, Marshall McLuhan, means of production, military-industrial complex, move fast and break things, Naomi Klein, New Journalism, On the Economy of Machinery and Manufactures, OpenAI, precariat, profit motive, ride hailing / ride sharing, Sam Bankman-Fried, scientific management, Second Machine Age, self-driving car, sharing economy, Silicon Valley, sovereign wealth fund, spinning jenny, Steve Jobs, Steve Wozniak, super pumped, TaskRabbit, tech billionaire, tech bro, tech worker, techlash, technological determinism, Ted Kaczynski, The Future of Employment, The Wealth of Nations by Adam Smith, Thomas Malthus, Travis Kalanick, Uber and Lyft, uber lyft, union organizing, universal basic income, W. E. B. Du Bois, warehouse automation, warehouse robotics, working poor, workplace surveillance

I dove into the archives, interviewed historians, spent time with Luddite scholars—I even lodged with one, in an old weaver’s cottage—and tried to picture this world in the throes of change. To bring the past into dialogue with the present, I interviewed historians of automation and artificial intelligence, attended worker protests against Uber and Lyft, and stopped by then presidential candidate Andrew Yang’s campaign headquarters to hear him raise the specter of the robot jobs apocalypse. I found a ripping tale of unlikely heroes and antiheroes, of fearsome rebellion, of oath-bound secret societies and the spies sent to infiltrate them, of the fickle allegiances of celebrities like Lord Byron, and of the violent royal rage that would culminate in the largest domestic military occupation in Britain’s history.

“We’ve had some initial fights over autonomous vehicles already,” de Blasio said; companies that want to come onto the streets of New York that we would not allow for safety reasons alone, that might have a huge negative impact, employment-wise. But on just the for-hire vehicle sector, you know, Uber and Lyft—it’s not automation in some ways in the fullest sense, obviously, but simply a new technology that automated some functions—and had a massive dislocating impact on our transportation sector. South Korea is so far the only country to institute something akin to a robot tax. The nation eliminated incentives previously offered to companies investing in technology, but only for automation tech.

Bill Gates’s lawyer, John Warden, explained to listeners unversed in English history that the Luddites were a band of workers who smashed machines “to arrest the march of progress driven by science and technology.” In 2014, conservative commentators applied the Luddite label to the taxi lobby when it sought to slow the (regulation-skirting) rise of Uber and Lyft—the label was applied derisively and mockingly, and implied the efforts were doomed to fail. “I don’t know many people who still wear hand-sewn garments,” one columnist sneered.2 Part of the reason that so much derision is heaped on the Luddites is that it’s easy to look around today and see the outcomes of their lost battle.


pages: 491 words: 77,650

Humans as a Service: The Promise and Perils of Work in the Gig Economy by Jeremias Prassl

3D printing, Affordable Care Act / Obamacare, Airbnb, algorithmic management, Amazon Mechanical Turk, Andrei Shleifer, asset light, autonomous vehicles, barriers to entry, call centre, cashless society, Clayton Christensen, collaborative consumption, collaborative economy, collective bargaining, creative destruction, crowdsourcing, death from overwork, Didi Chuxing, disruptive innovation, Donald Trump, driverless car, Erik Brynjolfsson, full employment, future of work, George Akerlof, gig economy, global supply chain, Greyball, hiring and firing, income inequality, independent contractor, information asymmetry, invisible hand, Jeff Bezos, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Kevin Roose, Kickstarter, low skilled workers, Lyft, machine readable, Mahatma Gandhi, Mark Zuckerberg, market friction, means of production, moral hazard, Network effects, new economy, obamacare, pattern recognition, platform as a service, Productivity paradox, race to the bottom, regulatory arbitrage, remote working, ride hailing / ride sharing, Robert Gordon, Ronald Coase, Rosa Parks, scientific management, Second Machine Age, secular stagnation, self-driving car, shareholder value, sharing economy, Silicon Valley, Silicon Valley billionaire, Silicon Valley ideology, Simon Singh, software as a service, Steve Jobs, TaskRabbit, TechCrunch disrupt, The Future of Employment, The Market for Lemons, The Nature of the Firm, The Rise and Fall of American Growth, transaction costs, transportation-network company, Travis Kalanick, two tier labour market, two-sided market, Uber and Lyft, Uber for X, uber lyft, union organizing, warehouse automation, work culture , working-age population

We return to a legal analysis of these terms in Chapter 5. 50. Julia Tomassetti, ‘Does Uber redefine the firm? The postindustrial corporation and advanced information technology’ (2016) 34(1) Hofstra Labor and Employment Law Journal 239, 293: Uber and Lyft sublimate their agency in the production of ride services into algo- rithms, programming, and technology management. The metaphor of the ‘platform’ transforms Uber and Lyft from subjects into spaces. It evokes a passive space to be inhabited by active agents—drivers and passengers. For example, Lyft argues that drivers’ ‘low ratings [are] given by passengers, not Lyft. Uber argued that passengers, and not Uber, controlled drivers’ work.

cc/VX4Q-77CT; Josh Dzieza, ‘The rating game: how Uber and its peers turned us into horrible bosses’, The Verge (28 October 2015), http://www.theverge. com/2015/10/28/9625968/rating-system-on-demand-economy-uber-olive- garden, archived at https://perma.cc/CVU4-GEV7; Benjamin Sachs, ‘Uber and Lyft: customer reviews and the right to control’, On Labor (20 May 2015), http://onlabor.org/2015/05/20/uber-and-lyft-customer-reviews-and-the- right-to-control/, archived at https://perma.cc/9TNM-Y95X 52. Josh Dzieza, ‘The rating game: how Uber and its peers turned us into horrible bosses’, The Verge (28 October 2015), http://www.theverge.com/2015/10/28/ 9625968/rating-system-on-demand-economy-uber-olive-garden, archived at https://perma.cc/CVU4-GEV7 53.

The former approach can be key to platforms’ rapid expansion, particularly in the transportation industry, in which many operators relied on a strategy of ‘asking forgiveness, not permission’. Details vary between jurisdictions and across different cities, but the fundamental question tends to be the same: should the same regulatory and licensing regimes apply to traditional transport operators and platforms such as Uber and Lyft? Historically, national and local regulators have imposed a large number of requirements on taxi companies, from licensing caps and price control, to * * * 36 Doublespeak driver background checks and general access conditions. Platforms argue that their operations are fundamentally different and thus should not be subject to the same requirements.


pages: 190 words: 62,941

Wild Ride: Inside Uber's Quest for World Domination by Adam Lashinsky

"Susan Fowler" uber, "World Economic Forum" Davos, Airbnb, always be closing, Amazon Web Services, asset light, autonomous vehicles, Ayatollah Khomeini, Benchmark Capital, business process, Chuck Templeton: OpenTable:, cognitive dissonance, corporate governance, DARPA: Urban Challenge, Didi Chuxing, Donald Trump, driverless car, Elon Musk, Erlich Bachman, gig economy, Golden Gate Park, Google X / Alphabet X, hustle culture, independent contractor, information retrieval, Jeff Bezos, John Zimmer (Lyft cofounder), Lyft, Marc Andreessen, Mark Zuckerberg, megacity, Menlo Park, multilevel marketing, new economy, pattern recognition, price mechanism, public intellectual, reality distortion field, ride hailing / ride sharing, Salesforce, San Francisco homelessness, Sand Hill Road, self-driving car, side hustle, Silicon Valley, Silicon Valley billionaire, Silicon Valley startup, Skype, Snapchat, South of Market, San Francisco, sovereign wealth fund, statistical model, Steve Jobs, super pumped, TaskRabbit, tech worker, Tony Hsieh, transportation-network company, Travis Kalanick, turn-by-turn navigation, Uber and Lyft, Uber for X, uber lyft, ubercab, young professional

He says he earned about $1.50 per mile when he started out. That rate dropped to $1.20 and then a mere 90 cents, which explains his surge-only practice. On the other hand, Snover deftly learned how to take advantage of the generous incentives Uber and Lyft have paid to build up their driver rolls. He said he got $500 for signing up his wife to drive for each service. Together with minimum-level bonuses, the two banked $1,400 from Uber and Lyft just for starting to drive. Many Uber drivers also follow a predictable path from excitement to disappointment to resignation. Bineyam Tesfaye, a former cabbie in Washington, D.C., started driving for Uber in 2016 and was pleased to be earning up to $1,200 a week.

There is similar national data for driver’s licenses: The number ticked up by four million from 2014 to 2015, also according to census data. As well, the Pew Research Center reported in 2016 that while 51 percent of Americans had heard of the concept of ridesharing, just 15 percent had used a service like Uber and Lyft, and another 33 percent were unfamiliar with them altogether. Surveys suggest that Uber has had a meaningful impact on the life of young adults in urban areas but hasn’t yet triggered the kind of societal change it frequently trumpets. Uber does represent a new opportunity for drivers, if a challenging one.

In a blog post addressed to the “Uber-Faithful,” the company warned that proposed rule changes would make Uber’s pricing model illegal (which it compared to telling hotels they couldn’t charge by the night), ban Uber drivers from downtown Denver (“TAXI protectionism at its finest”), and make it illegal to partner with limousine companies. Uber urged its supporters to contact the state’s governor, John Hickenlooper, directly. In 2014, Hickenlooper signed a bill that lightly regulated Uber and its competitors, effectively legalizing the service. These battles played out almost everywhere Uber—and Lyft, often behind it—went. In early 2014, for example, the news site BuzzFeed counted seventeen active regulatory fights in various U.S. cities, counties, and states. These included a protracted battle in New York City, where one of the bones of contention was the city’s demand that Uber share trip data with officials, and Orlando, where proposed rules attempted to force Uber and similar companies to charge 25 percent more than taxis.


pages: 246 words: 68,392

Gigged: The End of the Job and the Future of Work by Sarah Kessler

"Susan Fowler" uber, Affordable Care Act / Obamacare, Airbnb, Amazon Mechanical Turk, basic income, bitcoin, blockchain, business cycle, call centre, cognitive dissonance, collective bargaining, crowdsourcing, data science, David Attenborough, do what you love, Donald Trump, East Village, Elon Musk, financial independence, future of work, game design, gig economy, Hacker News, income inequality, independent contractor, information asymmetry, Jeff Bezos, job automation, law of one price, Lyft, Mark Zuckerberg, market clearing, minimum wage unemployment, new economy, opioid epidemic / opioid crisis, payday loans, post-work, profit maximization, QR code, race to the bottom, ride hailing / ride sharing, Salesforce, Second Machine Age, self-driving car, shareholder value, sharing economy, Silicon Valley, Snapchat, TaskRabbit, TechCrunch disrupt, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, union organizing, universal basic income, working-age population, Works Progress Administration, Y Combinator

“In the new world of on-demand everything,” wrote one critic of this system, “you’re either pampered, isolated royalty—or you’re a 21st century servant.”1 The price of this affordable royalty treatment was still falling. Under pressure to grow as quickly as possible, startups often discounted their services to attract customers and undercut competitors. Uber and Lyft engaged in a “price war” that would eventually in some cities make their services cheaper than public transportation. These price reductions were partially subsidized by venture capitalists who had invested billions in the companies, but they were also funded by cuts to drivers’ pay. As Uber and Lyft became prevalent, the startups continued to cut fares and increase commissions, claiming a higher percentage of each fare as a fee. Customers, if they were aware of any impact that this had on drivers, didn’t seem to care.

“The much-touted virtues of flexibility, independence and creativity offered by gig work might be true for some workers under some conditions,” she said in a speech at an annual conference for the New America Foundation in Washington, “but for many, the gig economy is simply the next step in a losing effort to build some economic security in a world where all the benefits are floating to the top 10 percent.”21 The speech wasn’t exactly about the gig economy: “The problems facing gig workers are much like the problems facing millions of other workers,” Warren noted. But the headlines were definitely about the gig economy: “Elizabeth Warren Takes on Uber, Lyft and the ‘Gig Economy’”;22 “Elizabeth Warren Calls for Increased Regulations on Uber, Lyft, and the ‘Gig Economy’”;23 “Elizabeth Warren Slams Uber and Lyft.”24 In her speech, Warren had acknowledged that talking about TaskRabbit, Uber, and Lyft was “very hip.” It seemed she was right. Sometimes politicians and labor leaders didn’t even need to frame their positions within the context of the gig economy to have them interpreted that way. The media did it for them. When the Labor Department’s Wage and Hour Division published new guidance on worker classification in July 2015 (which would later be rescinded by the Trump administration), it did not mention Uber.

“We’ve never had a layoff,” the application site bragged. It was a decent job, but not one that was likely to survive automation. In some industries, the gig economy serves as a stop-gap technology, with companies employing people in the cheapest way possible until, eventually, it becomes cheaper to buy a machine. This is the case with Uber and Lyft, for instance. “The reason Uber could be expensive is because you’re not just paying for the car—you’re paying for the other dude in the car,” Travis Kalanick said on stage at a conference in 2014. “When there’s no other dude in the car, the cost of taking an Uber anywhere becomes cheaper than owning a vehicle.”2 Uber started picking up passengers in its first tests of self-driving cars in Pittsburgh in 2016.


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New Power: How Power Works in Our Hyperconnected World--And How to Make It Work for You by Jeremy Heimans, Henry Timms

"Susan Fowler" uber, "World Economic Forum" Davos, 3D printing, 4chan, Affordable Care Act / Obamacare, Airbnb, algorithmic management, augmented reality, autonomous vehicles, battle of ideas, benefit corporation, Benjamin Mako Hill, Big Tech, bitcoin, Black Lives Matter, blockchain, British Empire, Chris Wanstrath, Columbine, Corn Laws, crowdsourcing, data science, David Attenborough, death from overwork, Donald Trump, driverless car, Elon Musk, fake news, Ferguson, Missouri, future of work, game design, gig economy, hiring and firing, holacracy, hustle culture, IKEA effect, impact investing, income inequality, informal economy, job satisfaction, John Zimmer (Lyft cofounder), Jony Ive, Kevin Roose, Kibera, Kickstarter, Lean Startup, Lyft, Mark Zuckerberg, Minecraft, Network effects, new economy, Nicholas Carr, obamacare, Occupy movement, post-truth, profit motive, race to the bottom, radical decentralization, ride hailing / ride sharing, rolling blackouts, rolodex, Salesforce, Saturday Night Live, sharing economy, side hustle, Silicon Valley, six sigma, Snapchat, social web, subscription business, TaskRabbit, tech billionaire, TED Talk, the scientific method, transaction costs, Travis Kalanick, Uber and Lyft, uber lyft, upwardly mobile, web application, WikiLeaks, Yochai Benkler

Think of Twitter, which has been challenged because its super-participants (the influential super-users who dominate the platform) love its quirky functionality and culture, while those same qualities prevent growth among the vastly larger market of everyday participants, many of whom find Twitter noisy, confusing, and nasty. To dig into these dynamics a bit more deeply, let’s turn to the sharply contrasting ways that Uber and Lyft—two ridesharing apps with very similar businesses—are managing their new power communities. This juxtaposition tells us a lot about the connections among platforms, super-participants, and participants, and the factors that can bring them closer together, or drive them farther apart. ORGANIZING PICKETS VS. ORGANIZING PICNICS: THE BIG DIFFERENCE BETWEEN UBER AND LYFT The battle of Uber vs. Lyft has become the Coke vs. Pepsi of the new power economy. The two companies are both chasing the same drivers and riders.

They live in fierce and unfriendly competition, with Uber well ahead, having scaled much faster and expanded globally, leading to a valuation over ten times that of Lyft, but with Lyft posing a real threat in some of Uber’s biggest markets. The functionality of the two platforms is very similar. An Uber user feels thoroughly at home with the Lyft app and vice versa. But from the beginning, Uber and Lyft have positioned themselves very differently. Uber launched as “everyone’s private driver”—the pitch being that you, too, could slink into the back of a badass shiny black ride. Lyft came to life as “your friend with a car,” with a giant pink mustache amiably perched on the grille, riders hopping in the front seat and fist-bumping the driver a hello.

They created structures to get all three corners of the new power triangle allied in facing the challenge, with incentives for their drivers and the hashtag campaign for their passengers. Inductions and inducements “Rideshare Guy” Harry Campbell has been a driver for both companies. He explained to us that the stark difference in culture between Uber and Lyft plays out broadly in how they manage their drivers. For both firms, the ease of signing up as a driver is touted throughout their networks. (Compare the promise of “signing up takes less than four minutes” with the two years of deep study of the “knowledge” needed to become a London taxi driver—a powerful reminder of how our notions of expertise are changing in a new power world.)


pages: 269 words: 70,543

Tech Titans of China: How China's Tech Sector Is Challenging the World by Innovating Faster, Working Harder, and Going Global by Rebecca Fannin

"World Economic Forum" Davos, Adam Neumann (WeWork), Airbnb, augmented reality, autonomous vehicles, Benchmark Capital, Big Tech, bike sharing, blockchain, call centre, cashless society, Chuck Templeton: OpenTable:, clean tech, cloud computing, computer vision, connected car, corporate governance, cryptocurrency, data is the new oil, data science, deep learning, Deng Xiaoping, Didi Chuxing, digital map, disruptive innovation, Donald Trump, El Camino Real, electricity market, Elon Musk, fake news, family office, fear of failure, fulfillment center, glass ceiling, global supply chain, Great Leap Forward, income inequality, industrial robot, information security, Internet of things, invention of movable type, Jeff Bezos, Kickstarter, knowledge worker, Lyft, Mark Zuckerberg, Mary Meeker, megacity, Menlo Park, money market fund, Network effects, new economy, peer-to-peer lending, personalized medicine, Peter Thiel, QR code, RFID, ride hailing / ride sharing, Sand Hill Road, self-driving car, sharing economy, Shenzhen was a fishing village, Silicon Valley, Silicon Valley startup, Skype, smart cities, smart transportation, Snapchat, social graph, SoftBank, software as a service, South China Sea, sovereign wealth fund, speech recognition, stealth mode startup, Steve Jobs, stock buybacks, supply-chain management, tech billionaire, TechCrunch disrupt, TikTok, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, urban planning, Vision Fund, warehouse automation, WeWork, winner-take-all economy, Y Combinator, young professional

The most acquisitive by far is Tencent with 146 deals and $25.7 billion of investment, followed by Alibaba with 51 deals and its part-owned Alipay with 2 deals and $3.7 billion in volume, and Baidu with 28 tech investments at $4.1 billion.2 China’s dragons have teamed up with top-tier US-based venture firms Mayfield and New Enterprise Associates, private equity firms General Atlantic and Carlyle Group, corporate strategic investors General Motors and Warner Brothers, and Japan’s acquisitive SoftBank. They’ve invested in US ride-hailing leaders Uber and Lyft, electric-carmaker Tesla, and augmented reality innovator Magic Leap. These Chinese tech titans have taken their cues directly from Silicon Valley venture capitalists. They’ve scoured the Valley for promising startups and based their operations not far from Menlo Park’s storied Sand Hill Road firms that backed winners Google, Facebook, and eBay.

The appeal of ride hailing is the ability to tap on a mobile screen and secure a driver to take you where you want to go for less than a taxi fare, then step out of the car without dealing with cash. Didi has proven to be an innovator in ride hailing, a segment that has gotten a lot of attention with the recent public offerings of Uber and Lyft in the United States. One Didi service sends a driver to your personal car when you’ve had too much to drink. Another is an SOS feature to activate in case of a hazard or emergency. Today, in China’s congested cities, it’s no longer a status symbol to own a car. It’s a pain because of traffic jams, parking hassles, and financial costs.

Not sure if Uber will be trying this out in the United States. The Traffic Brain In some other realms, Didi sees a brighter horizon. The company is focusing on expanding outside China, investing more in AI systems and autonomous driving, conducting research at a Silicon Valley lab, and planning an electric vehicle network of 10 million by 2028. Like Uber and Lyft experimenting with new self-driving thrills, Didi is testing self-driving vehicles in four cities in China and the United States and has a grand plan to launch driver-less taxis soon. Robo taxis are already a reality in China—and the United States. The self-driving highway is looking more and more jammed.


pages: 363 words: 109,077

The Raging 2020s: Companies, Countries, People - and the Fight for Our Future by Alec Ross

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, Affordable Care Act / Obamacare, air gap, air traffic controllers' union, Airbnb, Albert Einstein, An Inconvenient Truth, autonomous vehicles, barriers to entry, benefit corporation, Bernie Sanders, Big Tech, big-box store, British Empire, call centre, capital controls, clean water, collective bargaining, computer vision, coronavirus, corporate governance, corporate raider, COVID-19, deep learning, Deng Xiaoping, Didi Chuxing, disinformation, Dissolution of the Soviet Union, Donald Trump, Double Irish / Dutch Sandwich, drone strike, dumpster diving, employer provided health coverage, Francis Fukuyama: the end of history, future of work, general purpose technology, gig economy, Gini coefficient, global supply chain, Goldman Sachs: Vampire Squid, Gordon Gekko, greed is good, high-speed rail, hiring and firing, income inequality, independent contractor, information security, intangible asset, invisible hand, Jeff Bezos, knowledge worker, late capitalism, low skilled workers, Lyft, Marc Andreessen, Marc Benioff, mass immigration, megacity, military-industrial complex, minimum wage unemployment, mittelstand, mortgage tax deduction, natural language processing, Oculus Rift, off-the-grid, offshore financial centre, open economy, OpenAI, Parag Khanna, Paris climate accords, profit motive, race to the bottom, RAND corporation, ride hailing / ride sharing, Robert Bork, rolodex, Ronald Reagan, Salesforce, self-driving car, shareholder value, side hustle, side project, Silicon Valley, smart cities, Social Responsibility of Business Is to Increase Its Profits, sovereign wealth fund, sparse data, special economic zone, Steven Levy, stock buybacks, strikebreaker, TaskRabbit, tech bro, tech worker, transcontinental railway, transfer pricing, Travis Kalanick, trickle-down economics, Uber and Lyft, uber lyft, union organizing, Upton Sinclair, vertical integration, working poor

By March 25, 2019, Rideshare Drivers United: Alexia Fernández Campbell, “Thousands of Uber Drivers Are Striking in Los Angeles,” Vox, March 25, 2019, https://www.vox.com/2019/3/25/18280718/uber-lyft-drivers-strike-la-los-angeles; Bryce Covert, “‘It’s Not Right’: Why Uber and Lyft Drivers Went on Strike,” Vox, May 9, 2019, https://www.vox.com/the-goods/2019/5/9/18538206/uber-lyft-strike-demands-ipo. On May 8, 2019, days before Uber: Covert, “Why Uber and Lyft Drivers Went on Strike,” https://www.vox.com/the-goods/2019/5/9/18538206/uber-lyft-strike-demands-ipo; Ben Chapman, “Uber Drivers in UK Cities Go on Strike in Protest over Pay and Workers’ Rights,” Independent, May 7, 2019, https://www.independent.co.uk/news/business/news/uber-drivers-strike-london-birmingham-glasgow-nottingham-pay-rights-a8898791.html.

You interact with the company only when something goes wrong with the app. For the most part, your marching orders—and your pay—are dictated by software. But just as technology platforms developed this new way to work, their contractors are pioneering new ways to organize. On August 22, 2017, more than one hundred Uber and Lyft drivers gathered outside Los Angeles International Airport (LAX) to protest for higher wages. In their effort to lower costs for passengers, the companies had reduced the pay rates for drivers. Between 2013 and 2017, rideshare drivers across the country had seen their monthly earnings fall more than 50 percent.

I’m going to ask you, what is your time worth?” Like many other grassroots initiatives, the protest was organized through a Facebook page. In the following months, the organizers of the event came together to form a new group called Rideshare Drivers United (RDU), with the goal of improving pay and work conditions for Uber and Lyft drivers. To advance the cause, the group needed to build its membership, and that required connecting with drivers who could go days without crossing paths with their fellow gig workers. In short, RDU needed to solve the proximity problem. To do so, the organizers turned to technology. If they were working through an app, why not strike through an app?


pages: 460 words: 107,454

Stakeholder Capitalism: A Global Economy That Works for Progress, People and Planet by Klaus Schwab, Peter Vanham

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, 3D printing, additive manufacturing, agricultural Revolution, air traffic controllers' union, Anthropocene, Apple II, Asian financial crisis, Asperger Syndrome, basic income, Berlin Wall, Big Tech, biodiversity loss, bitcoin, Black Lives Matter, blockchain, blue-collar work, Branko Milanovic, Bretton Woods, British Empire, business process, capital controls, Capital in the Twenty-First Century by Thomas Piketty, car-free, carbon footprint, carbon tax, centre right, clean tech, clean water, cloud computing, collateralized debt obligation, collective bargaining, colonial rule, company town, contact tracing, contact tracing app, Cornelius Vanderbilt, coronavirus, corporate governance, corporate social responsibility, COVID-19, creative destruction, Credit Default Swap, credit default swaps / collateralized debt obligations, cryptocurrency, cuban missile crisis, currency peg, cyber-physical system, decarbonisation, demographic dividend, Deng Xiaoping, Diane Coyle, digital divide, don't be evil, European colonialism, Fall of the Berlin Wall, family office, financial innovation, Francis Fukuyama: the end of history, future of work, gender pay gap, general purpose technology, George Floyd, gig economy, Gini coefficient, global supply chain, global value chain, global village, Google bus, green new deal, Greta Thunberg, high net worth, hiring and firing, housing crisis, income inequality, income per capita, independent contractor, industrial robot, intangible asset, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invisible hand, James Watt: steam engine, Jeff Bezos, job automation, joint-stock company, Joseph Schumpeter, Kenneth Rogoff, Khan Academy, Kickstarter, labor-force participation, lockdown, low interest rates, low skilled workers, Lyft, manufacturing employment, Marc Benioff, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, Martin Wolf, means of production, megacity, microplastics / micro fibres, Mikhail Gorbachev, mini-job, mittelstand, move fast and break things, neoliberal agenda, Network effects, new economy, open economy, Peace of Westphalia, Peter Thiel, precariat, Productivity paradox, profit maximization, purchasing power parity, race to the bottom, reserve currency, reshoring, ride hailing / ride sharing, Ronald Reagan, Salesforce, San Francisco homelessness, School Strike for Climate, self-driving car, seminal paper, shareholder value, Shenzhen special economic zone , Shenzhen was a fishing village, Silicon Valley, Simon Kuznets, social distancing, Social Responsibility of Business Is to Increase Its Profits, special economic zone, Steve Jobs, Steve Wozniak, synthetic biology, TaskRabbit, The Chicago School, The Future of Employment, The inhabitant of London could order by telephone, sipping his morning tea in bed, the various products of the whole earth, the scientific method, TikTok, Tim Cook: Apple, trade route, transfer pricing, Uber and Lyft, uber lyft, union organizing, universal basic income, War on Poverty, We are the 99%, women in the workforce, working poor, working-age population, Yom Kippur War, young professional, zero-sum game

GDP also goes up when banks post financial profits, but it remains stagnant when digital innovations get introduced that make our lives easier. 40 “The Treasury's Living Standards Framework,” New Zealand Government, December 2019, https://treasury.govt.nz/sites/default/files/2019-12/lsf-dashboard-update-dec19.pdf. 41 “New Zealand's Ardern Wins 2nd Term in Election Landslide,” Associated Press, October 2020, https://apnews.com/article/virus-outbreak-new-zealand-mosque-attacks-auckland-elections-new-zealand-b1ab788954f23f948d8b6c3258c02634. 42 “Uber and Lyft Drivers Guild Wins Historic Pay Rules,” Independent Drivers Guild, December 2018, https://drivingguild.org/uber-and-lyft-drivers-guild-wins-historic-pay-rules/. 43 I'm a New York City Uber Driver. The Pandemic Shows That My Industry Needs Fundamental Change or Drivers Will Never Recover,” Aziz Bah, Business Insider, July 2020, https://www.businessinsider.com/uber-lyft-drivers-covid-19-pandemic-virus-economy-right-bargain-2020-7?

Those who work for platforms or companies must have a say in the way these companies operate, how they treat their workers, and what responsibility they take toward society. There have been real-life experiments to assemble these stakeholders, such as when Rideshare Drivers United, a Californian advocacy group for drivers of Uber and Lyft, called for a global strike in May 2019, ahead of Uber's planned IPO. They encouraged drivers to shut off their mobile apps to make their case for more pay and better protections.15 But despite attracting a lot of media and political attention16 and leading to a one-off financial settlement for some drivers ahead of the IPO,17 the strike mostly revealed how hard it will be to replicate the influence taxi unions once had, as the structural demands of the drivers were not met.

Martin Wolf, Financial Times, April 2018, https://www.ft.com/content/e00099f0-3c19-11e8-b9f9-de94fa33a81e. 15 “The Worldwide Uber Strike Is a Key Test for the Gig Economy,” Alexia Fernandez Campbell, Vox, May 219, https://www.vox.com/2019/5/8/18535367/uber-drivers-strike-2019-cities. 16 “Uber Pre IPO, 8th May, 2019 Global Strike Results,” RideShare Drivers United, May 2019, https://ridesharedriversunited.com/uber-pre-ipo-8th-may-2019-global-strike-results/. 17 “Worker or Independent Contractor? Uber Settles Driver Claims Before Disappointing IPO,” Forbes, May 2019, https://www.forbes.com/sites/kellyphillipserb/2019/05/13/worker-or-independent-contractor-uber-settles-driver-claims-before-disappointing-ipo/#7a157b93f39f. 18 “Uber and Lyft Drivers in California Will Remain Contractors”, Kate Conger, The New York Times, November 2020, https://www.nytimes.com/2020/11/04/technology/california-uber-lyft-prop-22.html. 19 “Are Political Parties in Trouble?” Patrick Liddiard, Wilson Center, December 2018, https://www.wilsoncenter.org/sites/default/files/media/documents/publication/happ_liddiard_are_political_parties_in_trouble_december_2018.pdf. 20 “A Deep Dive into Voter Turnout in Latin America,” Holly Sunderland, Americas Society / Council of the Americas, June 2018, https://www.as-coa.org/articles/chart-deep-dive-voter-turnout-latin-america. 21 “Historical Reported Voting Rates, Table A.1,” United States Census Bureau, https://www.census.gov/data/tables/time-series/demo/voting-and-registration/voting-historical-time-series.html. 22 “How to Correctly Understand the General Requirements of Recruiting Party Members?”


pages: 460 words: 107,454

Stakeholder Capitalism: A Global Economy That Works for Progress, People and Planet by Klaus Schwab

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, 3D printing, additive manufacturing, agricultural Revolution, air traffic controllers' union, Anthropocene, Apple II, Asian financial crisis, Asperger Syndrome, basic income, Berlin Wall, Big Tech, biodiversity loss, bitcoin, Black Lives Matter, blockchain, blue-collar work, Branko Milanovic, Bretton Woods, British Empire, business process, capital controls, Capital in the Twenty-First Century by Thomas Piketty, car-free, carbon footprint, carbon tax, centre right, clean tech, clean water, cloud computing, collateralized debt obligation, collective bargaining, colonial rule, company town, contact tracing, contact tracing app, Cornelius Vanderbilt, coronavirus, corporate governance, corporate social responsibility, COVID-19, creative destruction, Credit Default Swap, credit default swaps / collateralized debt obligations, cryptocurrency, cuban missile crisis, currency peg, cyber-physical system, decarbonisation, demographic dividend, Deng Xiaoping, Diane Coyle, digital divide, don't be evil, European colonialism, Fall of the Berlin Wall, family office, financial innovation, Francis Fukuyama: the end of history, future of work, gender pay gap, general purpose technology, George Floyd, gig economy, Gini coefficient, global supply chain, global value chain, global village, Google bus, green new deal, Greta Thunberg, high net worth, hiring and firing, housing crisis, income inequality, income per capita, independent contractor, industrial robot, intangible asset, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invisible hand, James Watt: steam engine, Jeff Bezos, job automation, joint-stock company, Joseph Schumpeter, Kenneth Rogoff, Khan Academy, Kickstarter, labor-force participation, lockdown, low interest rates, low skilled workers, Lyft, manufacturing employment, Marc Benioff, Mark Zuckerberg, market fundamentalism, Marshall McLuhan, Martin Wolf, means of production, megacity, microplastics / micro fibres, Mikhail Gorbachev, mini-job, mittelstand, move fast and break things, neoliberal agenda, Network effects, new economy, open economy, Peace of Westphalia, Peter Thiel, precariat, Productivity paradox, profit maximization, purchasing power parity, race to the bottom, reserve currency, reshoring, ride hailing / ride sharing, Ronald Reagan, Salesforce, San Francisco homelessness, School Strike for Climate, self-driving car, seminal paper, shareholder value, Shenzhen special economic zone , Shenzhen was a fishing village, Silicon Valley, Simon Kuznets, social distancing, Social Responsibility of Business Is to Increase Its Profits, special economic zone, Steve Jobs, Steve Wozniak, synthetic biology, TaskRabbit, The Chicago School, The Future of Employment, The inhabitant of London could order by telephone, sipping his morning tea in bed, the various products of the whole earth, the scientific method, TikTok, Tim Cook: Apple, trade route, transfer pricing, Uber and Lyft, uber lyft, union organizing, universal basic income, War on Poverty, We are the 99%, women in the workforce, working poor, working-age population, Yom Kippur War, young professional, zero-sum game

GDP also goes up when banks post financial profits, but it remains stagnant when digital innovations get introduced that make our lives easier. 40 “The Treasury's Living Standards Framework,” New Zealand Government, December 2019, https://treasury.govt.nz/sites/default/files/2019-12/lsf-dashboard-update-dec19.pdf. 41 “New Zealand's Ardern Wins 2nd Term in Election Landslide,” Associated Press, October 2020, https://apnews.com/article/virus-outbreak-new-zealand-mosque-attacks-auckland-elections-new-zealand-b1ab788954f23f948d8b6c3258c02634. 42 “Uber and Lyft Drivers Guild Wins Historic Pay Rules,” Independent Drivers Guild, December 2018, https://drivingguild.org/uber-and-lyft-drivers-guild-wins-historic-pay-rules/. 43 I'm a New York City Uber Driver. The Pandemic Shows That My Industry Needs Fundamental Change or Drivers Will Never Recover,” Aziz Bah, Business Insider, July 2020, https://www.businessinsider.com/uber-lyft-drivers-covid-19-pandemic-virus-economy-right-bargain-2020-7?

Those who work for platforms or companies must have a say in the way these companies operate, how they treat their workers, and what responsibility they take toward society. There have been real-life experiments to assemble these stakeholders, such as when Rideshare Drivers United, a Californian advocacy group for drivers of Uber and Lyft, called for a global strike in May 2019, ahead of Uber's planned IPO. They encouraged drivers to shut off their mobile apps to make their case for more pay and better protections.15 But despite attracting a lot of media and political attention16 and leading to a one-off financial settlement for some drivers ahead of the IPO,17 the strike mostly revealed how hard it will be to replicate the influence taxi unions once had, as the structural demands of the drivers were not met.

Martin Wolf, Financial Times, April 2018, https://www.ft.com/content/e00099f0-3c19-11e8-b9f9-de94fa33a81e. 15 “The Worldwide Uber Strike Is a Key Test for the Gig Economy,” Alexia Fernandez Campbell, Vox, May 219, https://www.vox.com/2019/5/8/18535367/uber-drivers-strike-2019-cities. 16 “Uber Pre IPO, 8th May, 2019 Global Strike Results,” RideShare Drivers United, May 2019, https://ridesharedriversunited.com/uber-pre-ipo-8th-may-2019-global-strike-results/. 17 “Worker or Independent Contractor? Uber Settles Driver Claims Before Disappointing IPO,” Forbes, May 2019, https://www.forbes.com/sites/kellyphillipserb/2019/05/13/worker-or-independent-contractor-uber-settles-driver-claims-before-disappointing-ipo/#7a157b93f39f. 18 “Uber and Lyft Drivers in California Will Remain Contractors”, Kate Conger, The New York Times, November 2020, https://www.nytimes.com/2020/11/04/technology/california-uber-lyft-prop-22.html. 19 “Are Political Parties in Trouble?” Patrick Liddiard, Wilson Center, December 2018, https://www.wilsoncenter.org/sites/default/files/media/documents/publication/happ_liddiard_are_political_parties_in_trouble_december_2018.pdf. 20 “A Deep Dive into Voter Turnout in Latin America,” Holly Sunderland, Americas Society / Council of the Americas, June 2018, https://www.as-coa.org/articles/chart-deep-dive-voter-turnout-latin-america. 21 “Historical Reported Voting Rates, Table A.1,” United States Census Bureau, https://www.census.gov/data/tables/time-series/demo/voting-and-registration/voting-historical-time-series.html. 22 “How to Correctly Understand the General Requirements of Recruiting Party Members?”


pages: 421 words: 110,406

Platform Revolution: How Networked Markets Are Transforming the Economy--And How to Make Them Work for You by Sangeet Paul Choudary, Marshall W. van Alstyne, Geoffrey G. Parker

3D printing, Affordable Care Act / Obamacare, Airbnb, Alvin Roth, Amazon Mechanical Turk, Amazon Web Services, Andrei Shleifer, Apple's 1984 Super Bowl advert, autonomous vehicles, barriers to entry, Benchmark Capital, big data - Walmart - Pop Tarts, bitcoin, blockchain, business cycle, business logic, business process, buy low sell high, chief data officer, Chuck Templeton: OpenTable:, clean water, cloud computing, connected car, corporate governance, crowdsourcing, data acquisition, data is the new oil, data science, digital map, discounted cash flows, disintermediation, driverless car, Edward Glaeser, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, financial innovation, Free Software Foundation, gigafactory, growth hacking, Haber-Bosch Process, High speed trading, independent contractor, information asymmetry, Internet of things, inventory management, invisible hand, Jean Tirole, Jeff Bezos, jimmy wales, John Markoff, Kevin Roose, Khan Academy, Kickstarter, Lean Startup, Lyft, Marc Andreessen, market design, Max Levchin, Metcalfe’s law, multi-sided market, Network effects, new economy, PalmPilot, payday loans, peer-to-peer lending, Peter Thiel, pets.com, pre–internet, price mechanism, recommendation engine, RFID, Richard Stallman, ride hailing / ride sharing, Robert Metcalfe, Ronald Coase, Salesforce, Satoshi Nakamoto, search costs, self-driving car, shareholder value, sharing economy, side project, Silicon Valley, Skype, smart contracts, smart grid, Snapchat, social bookmarking, social contagion, software is eating the world, Steve Jobs, TaskRabbit, The Chicago School, the long tail, the payments system, Tim Cook: Apple, transaction costs, Travis Kalanick, two-sided market, Uber and Lyft, Uber for X, uber lyft, vertical integration, winner-take-all economy, zero-sum game, Zipcar

BEYOND THE CORE INTERACTION As we’ve seen, platform design begins with the core interaction. But over time, successful platforms tend to scale by layering new interactions on top of the core interaction. In some cases, the gradual addition of new interactions is part of the long-term business plan that platform founders had in mind from the beginning. In early 2015, both Uber and Lyft began experimenting with a new ride-sharing service that complements their familiar call-a-taxi business model. The new services, known as UberPool and Lyft Line, allow two or more passengers traveling in the same direction to find one another and share a ride, thereby reducing their cost while increasing the revenues enjoyed by the driver.

The evolution of Uber, Lyft, and LinkedIn illustrates several of the ways that new interactions may be layered on top of the core interaction in a given platform: • By changing the value unit exchanged between existing users (as when LinkedIn shifted the basis of information exchange from user profiles to discussion posts) • By introducing a new category of users as either producers or consumers (as when LinkedIn invited recruiters and advertisers to join the platform as producers) • By allowing users to exchange new kinds of value units (as when Uber and Lyft made it possible for riders to share rides as well as arranging solo pickups) • By curating members of an existing user group to create a new category of users (as when LinkedIn designated certain participants as “thought leaders” and invited them to become producers of informational posts) Of course, not every new interaction is successful.

Multihoming occurs when users engage in similar types of interactions on more than one platform. A freelance professional who presents his credentials on two or more service marketing platforms, a music fan who downloads, stores, and shares tunes on more than one music site, and a driver who solicits rides through both Uber and Lyft all illustrate the phenomenon of multihoming. Platform businesses seek to discourage multihoming, since it facilitates switching—when a user abandons one platform in favor of another. Limiting multihoming is a cardinal competitive tactic for platforms. Here’s an example of how the effort to limit multihoming plays out in the new world of strategy.


System Error by Rob Reich

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, 2021 United States Capitol attack, A Declaration of the Independence of Cyberspace, Aaron Swartz, AI winter, Airbnb, airport security, Alan Greenspan, Albert Einstein, algorithmic bias, AlphaGo, AltaVista, artificial general intelligence, Automated Insights, autonomous vehicles, basic income, Ben Horowitz, Berlin Wall, Bernie Madoff, Big Tech, bitcoin, Blitzscaling, Cambridge Analytica, Cass Sunstein, clean water, cloud computing, computer vision, contact tracing, contact tracing app, coronavirus, corporate governance, COVID-19, creative destruction, CRISPR, crowdsourcing, data is the new oil, data science, decentralized internet, deep learning, deepfake, DeepMind, deplatforming, digital rights, disinformation, disruptive innovation, Donald Knuth, Donald Trump, driverless car, dual-use technology, Edward Snowden, Elon Musk, en.wikipedia.org, end-to-end encryption, Fairchild Semiconductor, fake news, Fall of the Berlin Wall, Filter Bubble, financial engineering, financial innovation, fulfillment center, future of work, gentrification, Geoffrey Hinton, George Floyd, gig economy, Goodhart's law, GPT-3, Hacker News, hockey-stick growth, income inequality, independent contractor, informal economy, information security, Jaron Lanier, Jeff Bezos, Jim Simons, jimmy wales, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John Perry Barlow, Lean Startup, linear programming, Lyft, Marc Andreessen, Mark Zuckerberg, meta-analysis, minimum wage unemployment, Monkeys Reject Unequal Pay, move fast and break things, Myron Scholes, Network effects, Nick Bostrom, Northpointe / Correctional Offender Management Profiling for Alternative Sanctions, NP-complete, Oculus Rift, OpenAI, Panopticon Jeremy Bentham, Parler "social media", pattern recognition, personalized medicine, Peter Thiel, Philippa Foot, premature optimization, profit motive, quantitative hedge fund, race to the bottom, randomized controlled trial, recommendation engine, Renaissance Technologies, Richard Thaler, ride hailing / ride sharing, Ronald Reagan, Sam Altman, Sand Hill Road, scientific management, self-driving car, shareholder value, Sheryl Sandberg, Shoshana Zuboff, side project, Silicon Valley, Snapchat, social distancing, Social Responsibility of Business Is to Increase Its Profits, software is eating the world, spectrum auction, speech recognition, stem cell, Steve Jobs, Steven Levy, strong AI, superintelligent machines, surveillance capitalism, Susan Wojcicki, tech billionaire, tech worker, techlash, technoutopianism, Telecommunications Act of 1996, telemarketer, The Future of Employment, TikTok, Tim Cook: Apple, traveling salesman, Triangle Shirtwaist Factory, trolley problem, Turing test, two-sided market, Uber and Lyft, uber lyft, ultimatum game, union organizing, universal basic income, washing machines reduced drudgery, Watson beat the top human players on Jeopardy!, When a measure becomes a target, winner-take-all economy, Y Combinator, you are the product

A consortium of tech companies: Kari Paul and Julia Carrie Wong, “California Passes Prop 22 in a Major Victory for Uber and Lyft,” Guardian, November 4, 2020, https://www.theguardian.com/us-news/2020/nov/04/california-election-voters-prop-22-uber-lyft; Andrew J. Hawkins, “An Uber and Lyft Shutdown in California Looks Inevitable—Unless Voters Bail Them Out,” Verge, August 16, 2020, https://www.theverge.com/2020/8/16/21370828/uber-lyft-california-shutdown-drivers-classify-ballot-prop-22. “I doubt whether”: Andrew J. Hawkins, “Uber and Lyft Had an Edge in the Prop 22 Fight: Their Apps,” Verge, November 4, 2020, https://www.theverge.com/2020/11/4/21549760/uber-lyft-prop-22-win-vote-app-message-notifications.

Big tech is also spending millions to lobby European regulators to ward off efforts to limit digital advertising, contributing to what some call a “Washingtonization of Brussels.” Those lobbying efforts are unlikely to abate anytime soon, even as those companies come under greater antitrust scrutiny. One of the recent battlefronts in tech companies’ push to influence regulation comes from California’s effort to reclassify gig economy workers, such as Uber and Lyft drivers and delivery people for companies such as DoorDash, as employees rather than contractors of the firms they work for. In 2019, the California legislature passed Assembly Bill 5 (AB 5), with the aim of reclassifying thousands of independent contractors as employees, thereby guaranteeing them numerous benefits such as minimum wage, unemployment insurance, and sick leave.

The bill was a textbook case of government seeking to contain a negative externality created by a profit-seeking company. Assemblywoman Lorena Gonzalez, an author of the bill, described her motivation: “As lawmakers, we will not in good conscience allow free-riding businesses to continue to pass their own business costs onto taxpayers and workers.” Providing such benefits would cost the likes of Uber and Lyft millions of dollars. Their response was swift. First, they tried to get an injunction against the new law, delaying its effective date. They were denied. Then they threatened to shut down their operations in the state. In the meantime, they worked on producing a ballot initiative, Proposition 22, that defined “app-based transportation (rideshare) and delivery drivers as independent contractors and [the adoption of] labor and wage policies specific to app-based drivers and companies,” effectively exempting them from the requirements of AB 5.


pages: 340 words: 92,904

Street Smart: The Rise of Cities and the Fall of Cars by Samuel I. Schwartz

2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, active transport: walking or cycling, Affordable Care Act / Obamacare, American Society of Civil Engineers: Report Card, autonomous vehicles, bike sharing, car-free, City Beautiful movement, collaborative consumption, congestion charging, congestion pricing, crowdsourcing, desegregation, Donald Shoup, driverless car, Enrique Peñalosa, Ford Model T, Ford paid five dollars a day, Frederick Winslow Taylor, high-speed rail, if you build it, they will come, Induced demand, intermodal, invention of the wheel, lake wobegon effect, Lewis Mumford, Loma Prieta earthquake, longitudinal study, Lyft, Masdar, megacity, meta-analysis, moral hazard, Nate Silver, oil shock, parking minimums, Productivity paradox, Ralph Nader, rent control, ride hailing / ride sharing, Rosa Parks, scientific management, self-driving car, skinny streets, smart cities, smart grid, smart transportation, TED Talk, the built environment, the map is not the territory, transportation-network company, Uber and Lyft, Uber for X, uber lyft, Unsafe at Any Speed, urban decay, urban planning, urban renewal, walkable city, Wall-E, white flight, white picket fence, Works Progress Administration, Yogi Berra, Zipcar

You don’t have to spend ten years learning the commuting ropes to know whether the train or bus you’re on is an express or a local, or even when it’s going to show up. You just need a smartphone. Smartphones are also all that’s needed to take advantage of other revolutionary new transportation options: ridesharing services like Via, car-sharing like Zipcar, and—especially—dispatchable taxi services like Uber and Lyft.c However, these and other cool new businesses didn’t create Millennial distaste for driving. They just exploited it. The question remains: why do Millennials find the automobile so much less desirable than their parents, grandparents, and great-grandparents did? Woodbridge, Virginia, is a small suburb about twenty miles south of Washington, DC.

However, even these aren’t the biggest concerns. If the goal is to improve mobility for city dwellers—to replace automobile dependency with active and multimodal transportation options—then it’s difficult to see how ride-matching can ever be more than a small part of the solution. That’s because the defining characteristic of the Ubers and Lyfts of the world (and of their very vocal cheerleaders) is hostility to regulation. For decades now, regulation has been getting very bad press, and not just from conservative politicians and libertarian economists. Everyone has a list of silly bureaucratic rules that have long outlived their usefulness, and I’m no exception.

Beyond that point—that is, beyond the maximum carrying capacity of a particular city’s streets—the numbers won’t add up to more mobility, but less. This is an unavoidable fact of life. No matter how sophisticated the technology becomes, public streets will remain a public resource with finite capacity. When ride-matching services like Uber and Lyft treat city streets as a free good, they’re just repeating the same conceptual mistake that the original champions of motordom did during the 1920s—the argument that, while streetcars and trains were responsible for maintenance of “their” right-of-way, streets were free for everyone. Smart cities shouldn’t insist on stupid regulation.


pages: 330 words: 91,805

Peers Inc: How People and Platforms Are Inventing the Collaborative Economy and Reinventing Capitalism by Robin Chase

Airbnb, Amazon Web Services, Andy Kessler, Anthropocene, Apollo 13, banking crisis, barriers to entry, basic income, Benevolent Dictator For Life (BDFL), bike sharing, bitcoin, blockchain, Burning Man, business climate, call centre, car-free, carbon tax, circular economy, cloud computing, collaborative consumption, collaborative economy, collective bargaining, commoditize, congestion charging, creative destruction, crowdsourcing, cryptocurrency, data science, deal flow, decarbonisation, different worldview, do-ocracy, don't be evil, Donald Shoup, Elon Musk, en.wikipedia.org, Ethereum, ethereum blockchain, Eyjafjallajökull, Ferguson, Missouri, Firefox, Free Software Foundation, frictionless, Gini coefficient, GPS: selective availability, high-speed rail, hive mind, income inequality, independent contractor, index fund, informal economy, Intergovernmental Panel on Climate Change (IPCC), Internet of things, Jane Jacobs, Jeff Bezos, jimmy wales, job satisfaction, Kickstarter, Kinder Surprise, language acquisition, Larry Ellison, Lean Startup, low interest rates, Lyft, machine readable, means of production, megacity, Minecraft, minimum viable product, Network effects, new economy, Oculus Rift, off-the-grid, openstreetmap, optical character recognition, pattern recognition, peer-to-peer, peer-to-peer lending, peer-to-peer model, Post-Keynesian economics, Richard Stallman, ride hailing / ride sharing, Ronald Coase, Ronald Reagan, Salesforce, Satoshi Nakamoto, Search for Extraterrestrial Intelligence, self-driving car, shareholder value, sharing economy, Silicon Valley, six sigma, Skype, smart cities, smart grid, Snapchat, sovereign wealth fund, Steve Crocker, Steve Jobs, Steven Levy, TaskRabbit, The Death and Life of Great American Cities, The Future of Employment, the long tail, The Nature of the Firm, Tragedy of the Commons, transaction costs, Turing test, turn-by-turn navigation, Uber and Lyft, uber lyft, vertical integration, Zipcar

But nothing prevents drivers from agreeing to drive for both companies or prospective passengers from having both apps on their smartphones. It is my experience with Zipcar and its competitors that customers choose based on a combination of convenience (the technology), price, and proximity. Both Uber and Lyft have business models and apps that appear to work; can the market sustain both? Buying (bribing) users too early in a company’s life cycle will just eat up a lot of money and won’t produce anything lasting. Doing so later is indeed possible, but it can be a very risky strategy depending on a company’s ability to defend that lead.

Right now, the Internet and GPS are wholly open platforms. It is this openness that has made for the infinite variation in applications. But some Inc platforms don’t want a lot of variation or creativity or innovation, and so they constrain the types of participation possible. Prosper wants to make loans to creditworthy borrowers. Uber and Lyft want safe drivers with clean cars. Twitter, on the other hand, doesn’t much care what you do with those 140 characters. The French precursor to the Internet was called Minitel and was widely used. It didn’t share these key characteristics. You needed a license to publish on it, and it was in every way a corporate and government walled garden.

In IT governance, this is the point at which the enterprise (the government, the business, the institution) competes against mission delivery (its own goals). As I looked at the graph, it became evident: having some rules (some structure) encourages me to participate, but having too many rules (too much structure) discourages me. Taxi regulations are full of outdated rules; hence the success of Uber and Lyft. Washington, D.C.’s Taxicab Commission chairman, Ron Linton, said that “Uber’s service is illegal because its drivers do not give passengers a receipt as they exit.”11 That’s true only if you define a receipt as a piece of paper. Everyone who uses these services pays by credit card from a preestablished online account and receives an email receipt in real time, pretty much as they close the door of the vehicle.


pages: 326 words: 91,559

Everything for Everyone: The Radical Tradition That Is Shaping the Next Economy by Nathan Schneider

1960s counterculture, Aaron Swartz, Adam Curtis, Affordable Care Act / Obamacare, Airbnb, altcoin, Amazon Mechanical Turk, antiwork, back-to-the-land, basic income, Berlin Wall, Bernie Sanders, bitcoin, Black Lives Matter, blockchain, Brewster Kahle, Burning Man, Capital in the Twenty-First Century by Thomas Piketty, carbon footprint, carbon tax, Clayton Christensen, collaborative economy, collective bargaining, commons-based peer production, Community Supported Agriculture, corporate governance, creative destruction, crowdsourcing, cryptocurrency, Debian, degrowth, disruptive innovation, do-ocracy, Donald Knuth, Donald Trump, Edward Snowden, Elon Musk, emotional labour, Ethereum, ethereum blockchain, Evgeny Morozov, Fairphone, Food sovereignty, four colour theorem, future of work, Gabriella Coleman, gentrification, gig economy, Google bus, holacracy, hydraulic fracturing, initial coin offering, intentional community, Internet Archive, Jeff Bezos, Jeremy Corbyn, jimmy wales, John Perry Barlow, joint-stock company, Joseph Schumpeter, Julian Assange, Kevin Roose, Kickstarter, low interest rates, Lyft, M-Pesa, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, mass immigration, means of production, Money creation, multi-sided market, Murray Bookchin, new economy, offshore financial centre, old-boy network, Peter H. Diamandis: Planetary Resources, Pier Paolo Pasolini, post-work, precariat, premature optimization, pre–internet, profit motive, race to the bottom, Richard Florida, Richard Stallman, ride hailing / ride sharing, Rutger Bregman, Salesforce, Sam Altman, Satoshi Nakamoto, self-driving car, shareholder value, sharing economy, Silicon Valley, Slavoj Žižek, smart contracts, Steve Bannon, Steve Jobs, Steve Wozniak, Stewart Brand, surveillance capitalism, tech worker, TED Talk, transaction costs, Turing test, Uber and Lyft, uber lyft, underbanked, undersea cable, universal basic income, Upton Sinclair, Vanguard fund, Vitalik Buterin, W. E. B. Du Bois, white flight, Whole Earth Catalog, WikiLeaks, women in the workforce, working poor, workplace surveillance , Y Combinator, Y2K, Zipcar

Municipal and national politicians have come to Scholz and me, among others, in search of policies to consider and evidence they will work. The city of Barcelona has taken steps to enshrine platform cooperativism into its economic strategies. After Austin, Texas, required Uber and Lyft drivers to perform standard safety screenings, the companies pulled their services from the city in May 2015, and the city council aided in the formation of a new co-op taxi company and a nonprofit ride-sharing app; the replacements worked so well that Uber and Lyft paid millions of dollars in lobbying to force their way back before Austin became an example. Meanwhile, UK Labour Party leader Jeremy Corbyn issued a “Digital Democracy Manifesto” that included “platform cooperatives” among its eight planks.26 The challenge of such digital democracy goes beyond local tweaks.

The airport’s website had a notice about an impending contract bid for taxi companies, replacing the permits. This could reshape the city’s taxi business and make or break Green Taxi’s plan to cooperativize—and unionize, with CWA—one-third of the market. The airport’s new regime affected only taxi companies, but it had everything to do with the influx of apps. Unlike taxis, Uber and Lyft drivers faced no restrictions on their airport usage. They often drove nicer cars and spoke better English; they were more likely to be white. In December 2014, the app drivers made 10,822 trips through the airport, compared to 30,535 by taxis. A year later, for the first time, app-based airport trips exceeded the taxis, and they’d done so every month since.

Self-driving cars hadn’t come to the city’s roads yet, but Wall Street’s anticipation of them was fueling investment in the big apps, which put pressure on the taxi market and motivated so many drivers to set off on their own. The disruption was already happening, and Green Taxi had been born of it. In the beginning, before Uber and Lyft and even checkered taxicabs, there was sharing. At least that’s the story according to Dominik Wind, a German environmental activist with a genial smile and a penchant for conspiracy theories. Years ago, out of curiosity, Wind visited Samoa for half a year; he found that people shared tools, provisions, and sexual partners with their neighbors.


pages: 244 words: 66,977

Subscribed: Why the Subscription Model Will Be Your Company's Future - and What to Do About It by Tien Tzuo, Gabe Weisert

3D printing, Airbnb, airport security, Amazon Web Services, augmented reality, autonomous vehicles, Big Tech, bike sharing, blockchain, Brexit referendum, Build a better mousetrap, business cycle, business intelligence, business process, call centre, cloud computing, cognitive dissonance, connected car, data science, death of newspapers, digital nomad, digital rights, digital twin, double entry bookkeeping, Elon Musk, factory automation, fake news, fiat currency, Ford Model T, fulfillment center, growth hacking, hockey-stick growth, Internet of things, inventory management, iterative process, Jeff Bezos, John Zimmer (Lyft cofounder), Kevin Kelly, Lean Startup, Lyft, manufacturing employment, Marc Benioff, Mary Meeker, megaproject, minimum viable product, natural language processing, Network effects, Nicholas Carr, nuclear winter, pets.com, planned obsolescence, pneumatic tube, profit maximization, race to the bottom, ride hailing / ride sharing, Salesforce, Sand Hill Road, shareholder value, Silicon Valley, skunkworks, smart meter, social graph, software as a service, spice trade, Steve Ballmer, Steve Jobs, subscription business, systems thinking, tech worker, TED Talk, Tim Cook: Apple, transport as a service, Uber and Lyft, uber lyft, WeWork, Y2K, Zipcar

The company may take a short-term profitability hit, but the goal is to gain long-term customer loyalty in a very young and turbulent market—and this customer loyalty is becoming more and more important as ridesharing becomes a commodity. Here in the Bay Area, the Uber and Lyft markets are really fluid. I’ll frequently toggle between the two services—lots of the cars even feature both logos in their windshields. There’s very little brand loyalty on my part. Now contrast that with my Amazon Prime experience. All due respect to other potential ecommerce vendors, but Amazon has my business, in no small part due to Amazon Prime—they hooked me with the free shipping, and now I’ve got music, movies, and all sorts of other services. I’m not going anywhere. Uber and Lyft are both vying for that same lock-in effect by offering discounted services around consistent consumption patterns—in other words, they’re going after my commute.

Online streaming was just around the corner (as many people have pointed out, Reed Hastings called it Netflix for a reason). Zipcar was also a really interesting new concept. It was initially seen as an hourly competitor to Hertz and Budget, but you could already see new ideas opening up around cars and transportation, which Uber and Lyft capitalized on later. And of course the iPhone had just come out—at the time it was more of a fun, plug-and-play app container, but there was the potential for geolocation, identity, messaging. As bandwidth increased and platform costs decreased, there was a logical progression going on toward on-demand, digitally enabled services.

Yes, there were massive limitations to Zipcar—you had to live in a city, for example. But we could see that the next revisions of this concept (give me the ride, not the car) were just going to get better and better. That experience let us see a future world where car ownership would not be necessary. Today more than 60 million riders use Uber and Lyft. These ridesharing services have ushered in a whole new set of consumer priorities: Why buy a car at all, when all you need to do to get from point A to point B is pull out your phone? Why can’t I just subscribe to transportation the same way I subscribe to electricity and internet access? But wait, you might say.


pages: 302 words: 73,581

Platform Scale: How an Emerging Business Model Helps Startups Build Large Empires With Minimum Investment by Sangeet Paul Choudary

3D printing, Airbnb, Amazon Web Services, barriers to entry, bitcoin, blockchain, business logic, business process, Chuck Templeton: OpenTable:, Clayton Christensen, collaborative economy, commoditize, crowdsourcing, cryptocurrency, data acquisition, data science, fake it until you make it, frictionless, game design, gamification, growth hacking, Hacker News, hive mind, hockey-stick growth, Internet of things, invisible hand, Kickstarter, Lean Startup, Lyft, M-Pesa, Marc Andreessen, Mark Zuckerberg, means of production, multi-sided market, Network effects, new economy, Paul Graham, recommendation engine, ride hailing / ride sharing, Salesforce, search costs, shareholder value, sharing economy, Silicon Valley, Skype, Snapchat, social bookmarking, social graph, social software, software as a service, software is eating the world, Spread Networks laid a new fibre optics cable between New York and Chicago, TaskRabbit, the long tail, the payments system, too big to fail, transport as a service, two-sided market, Uber and Lyft, Uber for X, uber lyft, vertical integration, Wave and Pay

In both cases, the respective consumer or producer may become discouraged and decide to abandon the platform. In some of the largest cities, drivers drive for both Uber and Lyft, as well as other competitors. It’s not uncommon for these drivers to switch between the two platforms multiple times a day. With a limited supply of drivers in a city and the cost for a driver to connect to an additional platform being so small, drivers multihome on both Uber and Lyft. This has naturally led to intense competition between the two companies, and Uber infamously resorted to a playbook to create interaction failure on Lyft using questionable tactics.

The platform business model is powered by a new set of factors that determine value creation and competitive advantage. These factors are rapidly changing how entire industries operate. Upstarts are disrupting deeply rooted traditional industries by leveraging platforms. The decline of Nokia and Blackberry and the challenge of Uber and Lyft to the taxi industry worldwide bear testament to this shift. Meanwhile, individuals and niche brands are gaining rapid market access by leveraging platforms for global reach. Teenagers are building highly monetizable media empires on YouTube, while many freelancers make a better living on Upwork than they ever did or could at a traditional firm.

Multihoming costs vary for different platforms. When developers co-develop for the Android and iOS platforms, they incur high multihoming costs. Multihoming costs are high for consumers as well because of the cost of mobile phones. Most consumers will own only one phone. However, multihoming costs for drivers to co-exist on Uber and Lyft are relatively low. Many drivers participate on both platforms. Given the ease of booking rides, multi-homing costs are very low for travelers/riders on these platforms as well. This is an important consideration for on-demand platforms. With a limited supply of service providers available, multihoming may lead to a strong, ongoing competition between platforms for access to service providers.


The Smartphone Society by Nicole Aschoff

"Susan Fowler" uber, 4chan, A Declaration of the Independence of Cyberspace, Airbnb, algorithmic bias, algorithmic management, Amazon Web Services, artificial general intelligence, autonomous vehicles, barriers to entry, Bay Area Rapid Transit, Bernie Sanders, Big Tech, Black Lives Matter, blockchain, carbon footprint, Carl Icahn, Cass Sunstein, citizen journalism, cloud computing, correlation does not imply causation, crony capitalism, crowdsourcing, cryptocurrency, data science, deep learning, DeepMind, degrowth, Demis Hassabis, deplatforming, deskilling, digital capitalism, digital divide, do what you love, don't be evil, Donald Trump, Downton Abbey, Edward Snowden, Elon Musk, Evgeny Morozov, fake news, feminist movement, Ferguson, Missouri, Filter Bubble, financial independence, future of work, gamification, gig economy, global value chain, Google Chrome, Google Earth, Googley, green new deal, housing crisis, income inequality, independent contractor, Jaron Lanier, Jeff Bezos, Jessica Bruder, job automation, John Perry Barlow, knowledge economy, late capitalism, low interest rates, Lyft, M-Pesa, Mark Zuckerberg, minimum wage unemployment, mobile money, moral panic, move fast and break things, Naomi Klein, Network effects, new economy, Nicholas Carr, Nomadland, occupational segregation, Occupy movement, off-the-grid, offshore financial centre, opioid epidemic / opioid crisis, PageRank, Patri Friedman, peer-to-peer, Peter Thiel, pets.com, planned obsolescence, quantitative easing, Ralph Waldo Emerson, RAND corporation, Ray Kurzweil, RFID, Richard Stallman, ride hailing / ride sharing, Rodney Brooks, Ronald Reagan, Salesforce, Second Machine Age, self-driving car, shareholder value, sharing economy, Sheryl Sandberg, Shoshana Zuboff, Sidewalk Labs, Silicon Valley, single-payer health, Skype, Snapchat, SoftBank, statistical model, Steve Bannon, Steve Jobs, surveillance capitalism, TaskRabbit, tech worker, technological determinism, TED Talk, the scientific method, The Structural Transformation of the Public Sphere, TikTok, transcontinental railway, transportation-network company, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, upwardly mobile, Vision Fund, W. E. B. Du Bois, wages for housework, warehouse robotics, WikiLeaks, women in the workforce, yottabyte

Uber takes a 25 percent cut from each ride, yet drivers are not considered employees and the company is not responsible for their safety. Uber is also not responsible for the safety of its consumers (riders) nor the increased congestion and pollution it causes in urban centers. In San Francisco, for example, transportation experts concluded that transportation network companies such as Uber and Lyft were responsible for more than half of the increase in roadway congestion between 2010 and 2016.46 In trying to grasp the scale of smartphone jobs, we must also include all the warehouse and logistics workers continually set in motion by our “wherever, whenever” purchasing power. We order a last-minute birthday gift for Mom on the train to work; we re-up the laundry detergent during a commercial break; we order another pair of earbuds on the taxi ride home upon realizing that we’ve left ours on the plane.

They also get punished for being too slow; if the driver’s “time to accept orders,” “travel time to restaurant,” “travel time to customer,” or “time at customer” are longer than what the algorithm estimates they should be, the driver’s account can be deactivated.51 Uber drivers have even less time to respond to “trip requests,” ten to twenty seconds, and they also don’t know where they’re going until they’ve picked up the passenger. Until recently drivers got time-outs—short periods where they are locked out of the app—if they refused three trip requests in a row. Reliable data on how much pay Uber and Lyft drivers take home is hard to come by, but a recent driver-earnings survey found that drivers of Uber’s most popular service, Uber-X, made a median wage of $14.73 an hour in 2018 after tips but before gas, insurance, and repairs— substantially less than a living wage.52 Amazon warehouse workers are algorithmically managed in a different way.

The taxi market was widely considered impossible to unionize, but under the bold leadership of Bhairavi Desai, and through clever tactics and dogged organizing, drivers won important gains: regulations on taxi companies, a health and disability fund for drivers, and raises that put drivers on the path to a living wage. But the arrival of Uber and Lyft threw a wrench into the works, “disrupting” not only the taxi market but also the lives of taxi drivers. Debt and driving time rose while compensation and security plummeted. Where once taxi drivers could make enough to buy a home and send their kids to college, today 85 percent of app drivers earn below the minimum wage.3 But drivers are fighting back.4 The New York Taxi Workers Alliance was instrumental in getting the city to put a cap on new driver regulations (the first in the country) in August 2018, and a month later the union submitted a multipronged proposal to the New York City Taxi and Limousine Commission calling for a raise for all drivers, including app drivers, a debt relief program for medallion owners, a minimum app fare so drivers make at least $10 a trip, regulations that would align driver pay with changes in Uber’s pricing schemes, and retirement benefits for all drivers.5 App drivers aren’t the only workers demanding recognition and fair compensation for the work they do.


pages: 444 words: 127,259

Super Pumped: The Battle for Uber by Mike Isaac

"Susan Fowler" uber, "World Economic Forum" Davos, activist fund / activist shareholder / activist investor, Airbnb, Albert Einstein, always be closing, Amazon Web Services, Andy Kessler, autonomous vehicles, Ayatollah Khomeini, barriers to entry, Bay Area Rapid Transit, Benchmark Capital, Big Tech, Burning Man, call centre, Cambridge Analytica, Chris Urmson, Chuck Templeton: OpenTable:, citizen journalism, Clayton Christensen, cloud computing, corporate governance, creative destruction, data science, Didi Chuxing, don't be evil, Donald Trump, driverless car, Elon Musk, end-to-end encryption, fake news, family office, gig economy, Google Glasses, Google X / Alphabet X, Greyball, Hacker News, high net worth, hockey-stick growth, hustle culture, impact investing, information security, Jeff Bezos, John Markoff, John Zimmer (Lyft cofounder), Kevin Roose, Kickstarter, Larry Ellison, lolcat, Lyft, Marc Andreessen, Marc Benioff, Mark Zuckerberg, Masayoshi Son, mass immigration, Menlo Park, Mitch Kapor, money market fund, moral hazard, move fast and break things, Network effects, new economy, off grid, peer-to-peer, pets.com, Richard Florida, ride hailing / ride sharing, Salesforce, Sand Hill Road, self-driving car, selling pickaxes during a gold rush, shareholder value, Shenzhen special economic zone , Sheryl Sandberg, side hustle, side project, Silicon Valley, Silicon Valley startup, skunkworks, Snapchat, SoftBank, software as a service, software is eating the world, South China Sea, South of Market, San Francisco, sovereign wealth fund, special economic zone, Steve Bannon, Steve Jobs, stock buybacks, super pumped, TaskRabbit, tech bro, tech worker, the payments system, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, ubercab, union organizing, upwardly mobile, Vision Fund, WeWork, Y Combinator

It wasn’t just that he liked to win. Kalanick needed to win. Winning was the only option, his only goal. If you weren’t going to go home with the gold medal at the end of the day, why even show up to the game? At Uber, winning meant the obliteration of any opponent. There wasn’t enough room for Uber and Lyft to coexist, he believed. The game was zero-sum. Every single ride-hailing car on the road in every single important market should have an Uber driver behind the wheel. Nothing less than a complete monopoly would suffice. Kalanick enjoyed the fight. At first he began to needle John Zimmer, Lyft’s co-founder, on Twitter.

The company regularly topped the list of biggest spenders across states like New York, Texas, and Colorado—and dozens of others where they faced legislative opposition—throwing down tens of millions of dollars annually to sway lawmakers. David Plouffe, a former Obama administration political operative, was a major hire who knew how to influence city-level as well as national politics. In Portland, Uber hired Mark Weiner, one of the most powerful political consultants in the city. In Austin, Uber and Lyft paid $50,000 to the former Democratic mayor to lead their campaign against regulation. Later, as Uber matured, the company’s staff swelled to include nearly four hundred paid lobbyists across forty-four states; the number of ride-hailing lobbyists outnumbered the paid lobbying staffs of Amazon, Microsoft, and Walmart combined.

They had given a platform to a billionaire troll, which he leveraged into maximum, round-the-clock exposure. Trump had banked more than $2 billion in “earned media,” that is, free attention—far surpassing that of any other candidate. Now, each tweet was a presidential proclamation. Where once the public and media had adored Big Tech—Facebook and Twitter gave people a voice, while Uber and Lyft gave anyone a ride—now the public devoured stories of state-sponsored hackers using vast databases of personal information to influence the election. Suddenly, nefarious forces in Silicon Valley had led the country off a cliff, and Big Tech was profiting from the strife. Travis Kalanick had spent the past two years steeling Uber for a Clinton presidency.


pages: 308 words: 85,880

How to Fix the Future: Staying Human in the Digital Age by Andrew Keen

"World Economic Forum" Davos, 23andMe, Ada Lovelace, Affordable Care Act / Obamacare, Airbnb, Albert Einstein, AlphaGo, Andrew Keen, Apple's 1984 Super Bowl advert, augmented reality, autonomous vehicles, basic income, Bernie Sanders, Big Tech, bitcoin, Black Swan, blockchain, Brewster Kahle, British Empire, carbon tax, Charles Babbage, computer age, Cornelius Vanderbilt, creative destruction, crowdsourcing, data is the new oil, death from overwork, DeepMind, Demis Hassabis, Didi Chuxing, digital capitalism, digital map, digital rights, disinformation, don't be evil, Donald Trump, driverless car, Edward Snowden, Elon Musk, Erik Brynjolfsson, European colonialism, fake news, Filter Bubble, Firefox, fulfillment center, full employment, future of work, gig economy, global village, income inequality, independent contractor, informal economy, Internet Archive, Internet of things, invisible hand, Isaac Newton, James Watt: steam engine, Jane Jacobs, Jaron Lanier, Jeff Bezos, jimmy wales, job automation, Joi Ito, Kevin Kelly, knowledge economy, Lyft, Marc Andreessen, Marc Benioff, Mark Zuckerberg, Marshall McLuhan, Menlo Park, Mitch Kapor, move fast and break things, Network effects, new economy, Nicholas Carr, Norbert Wiener, OpenAI, Parag Khanna, peer-to-peer, Peter Thiel, plutocrats, post-truth, postindustrial economy, precariat, Ralph Nader, Ray Kurzweil, Recombinant DNA, rent-seeking, ride hailing / ride sharing, Rutger Bregman, Salesforce, Sam Altman, Sand Hill Road, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Silicon Valley billionaire, Silicon Valley ideology, Silicon Valley startup, Skype, smart cities, Snapchat, social graph, software is eating the world, Stephen Hawking, Steve Jobs, Steve Wozniak, subscription business, surveillance capitalism, Susan Wojcicki, tech baron, tech billionaire, tech worker, technological determinism, technoutopianism, The Future of Employment, the High Line, the new new thing, Thomas L Friedman, Tim Cook: Apple, Travis Kalanick, Triangle Shirtwaist Factory, Uber and Lyft, Uber for X, uber lyft, universal basic income, Unsafe at Any Speed, Upton Sinclair, urban planning, WikiLeaks, winner-take-all economy, Y Combinator, Yogi Berra, Zipcar

From my hotel near the station I order an Uber to transport me to the offices of Lichten and Liss-Riordan, a law firm based in Boylston Street, the major commercial thoroughfare running through the New England city. The car comes almost instantly, its electronic image zipping along the Boston streets on my iPhone app to alert me to its arrival. For frequent travelers, ridesharing networks such as Uber and Lyft offer an incredibly convenient and cheap way to get around cities at home and abroad. Like “free” YouTube videos or the absurdly cheap Spotify subscription service, they seem almost too good to be true. Which is exactly what many of these new digital products actually are, at least from the perspective of the workers—the creative artists or drivers whose labor provides their core value.

The problem is that the gig economy’s absence of commitment works both ways. Yes, the drivers don’t have to commit all their time to Uber, but then Uber isn’t committing anything to the drivers either. This is emblematic of an increasingly unequal economy where, in truth, multibillion-dollar start-ups like Uber and Lyft share none of their stratospheric value with their workers. Indeed, a July 2017 report about the gig economy by the British MP Frank Field alleges that some self-employed UK drivers are earning only £2.50 an hour working for sharing economy companies like Parcelforce and webuyanycar.com.30 “In reality, there is no utopia at companies like Uber, Lyft, Instacart and Handy, whose workers are often manipulated into working long hours for low wages while continually chasing the next ride or task,” that 2017 New York Times editorial argues.31 Or, as the New Yorker staff writer Jia Tolentino bluntly put it, commenting on the cult of work celebrated by on-demand companies such as the freelance marketplace Fiverr, “The gig economy celebrates working yourself to death.”32 My own experience as a heavy Uber user chimes with these conclusions.

Chantel McGee, “Only 4 Percent of Uber Drivers Remain on the Platform a Year Later, Says Report,” CNBC, April 20, 2017. 34. More, Utopia, 82. 35. Hannah Levintova, “Meet ‘Sledgehammer Shannon,’ the Lawyer Who Is Uber’s Worst Nightmare,” Mother Jones, December 30, 2015. 36. Kapp, “Uber’s Worst Nightmare.” 37. Barney Jopeson and Leslie Hook, “Warren Lashes Out Against Uber and Lyft,” Financial Times, May 19, 2016. 38. Ellen Huet, “What Really Killed Homejoy? It Couldn’t Hold On to Its Customers,” Forbes, July 23, 2015. 39. Carmel Deamicis, “Homejoy Shuts Down After Battling Worker Classification Lawsuits,” Recode, July 17, 2015. 40. Anna Louie Sussman and Josh Zumbrun, “Gig Economy Spreads Broadly,” Wall Street Journal, March 26–27, 2016. 41.


Fodor's Big Island of Hawaii by Fodor’s Travel Guides

Airbnb, carbon footprint, company town, COVID-19, Easter island, Lyft, Maui Hawaii, off-the-grid, polynesian navigation, QR code, ride hailing / ride sharing, Uber and Lyft, uber lyft

For those traveling to South Kona, a bypass road between Keauhou and Captain Cook alleviates congestion considerably during rush hour. In general, you can expect the following average driving times. o Ride-Sharing Both Uber and Lyft have designated pickup sites at the Hilo and Kona airports. Those who plan on traveling long distances may find that regular taxis are a bit cheaper, and you may have a longer wait for Uber and Lyft pickups beyond the airports. Essentials ; Beaches Don’t believe anyone who tells you that the Big Island lacks beaches. It’s just one of the myths about Hawaii’s largest island. It’s not so much that the Big Island has fewer beaches than the other islands, just that there’s more island, so getting to the beaches can be slightly less convenient.

Call or calculate online for fares to popular destinations. The local Hele-On county bus also services the Hilo airport. At the Kona airport, taxis are available. SpeediShuttle also offers transportation between the airport and hotels, resorts, and condominium complexes from Waimea to Keauhou. Uber and Lyft have designated pickup areas at the Kona and Hilo airports. j Bus Although public transportation isn’t very practical for the average vacationer, depending on where you’re staying, you can take advantage of the affordable Hawaii County Mass Transit Agency’s Hele-On Bus, which travels several routes throughout the island.

If you’re coming during the Merrie Monarch Festival, rental cars will be in short supply. TAXI A couple of taxi companies in Hilo provide relatively affordable rates. There are 17 taxi companies that service Hilo airport. Approximate cost to Hilo from the airport is $12, and to Banyan Drive hotels $10–$11. A taxi from Hilo to Volcano would cost around $70. There are rideshare (Uber and Lyft) services in Hilo, but wait times can be long. CONTACTS AA Marshall’s Taxi. E391 Kukuau St., Hilo P808/936–2654 wwww.taxihilo.com. Da Best Taxi Service. EHilo P808/557–7059. Beaches Hilo isn’t exactly known for tropical white-sand beaches, but a few nice ones in the area offer good swimming and snorkeling opportunities, and lush rain forest surrounds some of the beaches.


pages: 225 words: 70,241

Silicon City: San Francisco in the Long Shadow of the Valley by Cary McClelland

affirmative action, Airbnb, algorithmic bias, Apple II, autonomous vehicles, barriers to entry, Black Lives Matter, Burning Man, clean water, cloud computing, cognitive dissonance, Columbine, computer vision, creative destruction, driverless car, El Camino Real, Elon Musk, Fairchild Semiconductor, full employment, gamification, gentrification, gig economy, Golden Gate Park, Google bus, Google Glasses, high net worth, housing crisis, housing justice, income inequality, John Gilmore, John Perry Barlow, Joseph Schumpeter, Loma Prieta earthquake, Lyft, mass immigration, means of production, Menlo Park, Mitch Kapor, open immigration, PalmPilot, rent control, Salesforce, San Francisco homelessness, self-driving car, sharing economy, Silicon Valley, Skype, Social Justice Warrior, Steve Jobs, Steve Wozniak, TaskRabbit, tech bro, tech worker, transcontinental railway, Travis Kalanick, Uber and Lyft, uber lyft, urban planning, vertical integration, William Shockley: the traitorous eight, young professional

And the younger generation seems not quite so interested in owning a car—and this is the good part of Uber and Lyft. Young kids don’t want a car, they just want mobility. I want the taxi market to capture that, and it’s kind of frustrating to see these other companies come in and sort of steal it. People talk about Uber being so high tech and so progressive, and I’m like, “Man, I have been doing this shit for fifteen years.” We were the first to accept credit cards, GPS-based dispatch, workers’ comp insurance for drivers. Then, the things I advocate for—clean vehicles, the greenhouse gas reduction mandate—they are all being undermined by Uber and Lyft, which don’t do any of those things.

They don’t have any mandate for clean vehicles, they don’t serve wheelchair people or paratransit. Their drivers obviously don’t have workers’ comp. In fact, it’s a nightmare for their drivers. I mean, what if some drunk smashes into you? I had a woman tell me, “It’s just my generation. We’re just so used to pulling out our phone and using it for everything. Uber and Lyft just made it so easy.” But the taxi apps do the same thing. We just don’t store your credit card information and sell it to third parties, telling them where you are going, where you live, where you’re going to eat dinner. The past five years have been hyper in terms of change. And this is ground zero.


pages: 608 words: 184,703

Moon Oregon Trail Road Trip: Historic Sites, Small Towns, and Scenic Landscapes Along the Legendary Westward Route by Katrina Emery, Moon Travel Guides

Airbnb, bike sharing, California gold rush, car-free, crowdsourcing, desegregation, Donner party, glass ceiling, indoor plumbing, Kickstarter, Lyft, Mason jar, mass immigration, pez dispenser, ride hailing / ride sharing, Rosa Parks, trade route, transcontinental railway, Uber and Lyft, uber lyft, urban planning, Works Progress Administration

Airport transportation options to downtown include bus lines 2, 3, and 4 on Valley Regional Transit (http://valleyregionaltransit.org, 6:15am-9:30pm Mon.-Fri., 8:15am-6:30pm Sat., $1)., which runs every half hour on weekdays and every hour on Saturdays; the ride takes 15-30 minutes depending on the line (3 is the fastest, 2 is the slowest). You can also get from the airport to town via Uber and Lyft (about $15) or taxi (about $13). Salt Lake City International Airport (SLC, 776 N. Terminal Dr., 801/575-2400, www.slcairport.com) offers nonstop flights to over 75 cities. Air Canada, Alaska, American, SkyWest, Delta, Frontier, JetBlue, KLM, Southwest, and United offer daily flights all over North America.

It is 12 miles (19.3 km) north of the city center. Airport transportation to downtown Portland includes MAX Light Rail service on the Red Line run by TriMet (http://trimet.org, 4:45am-11:50pm daily, $2.50 one-way), which takes about 40 minutes and runs approximately every 15 minutes. From the airport you can also hail ride-sharing companies Uber and Lyft (about $30) or a taxi (about $40). Boise Airport (BOI, 3201 W. Airport Way, 208/383-3110, www.iflyboise.com) is small but offers daily flights on Alaska, American, Delta, Southwest, and United. This is a more convenient entry point to the eastern side of the state; Ontario, Oregon, is 55 miles (89 km) northwest of Boise, Idaho, less than an hour’s drive.

Airport transportation options to downtown Kansas City include bus 229 on RideKC (http://ridekc.org, 5:30am-11:15pm Mon.-Fri., 6:20am-11:15pm Sat.-Sun., $1.50), which takes about 45 minutes and runs approximately hourly, with less frequent service on early weekday mornings. From the airport you can also hail ride-sharing companies Uber and Lyft (about $30) or a taxi (about $50). St. Louis Lambert International Airport (STL, 10701 Lambert International Blvd., 314/426-8000, www.flystl.com) is a major gateway and offers nonstop flights all over the country, as well as from Canada and Mexico. It’s about 15 miles (24 km) northwest of St.


pages: 472 words: 80,835

Life as a Passenger: How Driverless Cars Will Change the World by David Kerrigan

3D printing, Airbnb, airport security, Albert Einstein, autonomous vehicles, big-box store, Boeing 747, butterfly effect, call centre, car-free, Cesare Marchetti: Marchetti’s constant, Chris Urmson, commoditize, computer vision, congestion charging, connected car, DARPA: Urban Challenge, data science, deep learning, DeepMind, deskilling, disruptive innovation, Donald Shoup, driverless car, edge city, Elon Musk, en.wikipedia.org, fake news, Ford Model T, future of work, General Motors Futurama, hype cycle, invention of the wheel, Just-in-time delivery, Lewis Mumford, loss aversion, Lyft, Marchetti’s constant, Mars Rover, megacity, Menlo Park, Metcalfe’s law, Minecraft, Nash equilibrium, New Urbanism, QWERTY keyboard, Ralph Nader, RAND corporation, Ray Kurzweil, ride hailing / ride sharing, Rodney Brooks, Sam Peltzman, self-driving car, sensor fusion, Silicon Valley, Simon Kuznets, smart cities, Snapchat, Stanford marshmallow experiment, Steve Jobs, technological determinism, technoutopianism, TED Talk, the built environment, Thorstein Veblen, traffic fines, transit-oriented development, Travis Kalanick, trolley problem, Uber and Lyft, Uber for X, uber lyft, Unsafe at Any Speed, urban planning, urban sprawl, warehouse robotics, Yogi Berra, young professional, zero-sum game, Zipcar

Think Kodak, Borders, Blockbuster, music companies, newspapers. The major car manufacturers don’t want to be the “horse” of a new “horseless carriage” era. The line between the agile technology sector and the lumbering powerhouse automotive industries is blurring. The rise of rideshare and ride hailing companies such as Uber and Lyft means that transportation is being tied ever more closely to your cell phone, while autonomous driving technology will require turning your car into a supercomputer. But these developments are expensive: Carmakers’ R&D budgets jumped 61 percent, to $137 billion from 2010 to 2014. Fiat Chrysler America CEO, Sergio Marchionne, has said he believes it makes no sense for carmakers to spend billions of dollars developing competing, yet largely identical systems.

A 2010 report from UC Berkeley’s Transportation Sustainability Research Center[177] found that one car-share vehicle could remove 9 to 13 vehicles from the road, either because households decided to ditch their personal automobile or significantly delay the purchase of one. One survey suggests that every car added to the fleets of Uber and Lyft leads to 32 fewer car sales, meaning potential “lost sales” by 2020 of over 1 million cars.[178] While that only looks at changes in car purchasing in selected urban areas, and doesn’t take account of any changing usage patterns, brought about by driverless cars, that might increase VMT, it is enough to make car manufacturers sit up and take notice.

So far it seems that many planners are choosing to ignore developments - despite its notorious traffic congestion issues, Los Angeles’ 2015 ten-year vision, “Mobility Plan 2025”, doesn’t even mention driverless cars. Less than 3% of the transportation plans for the 50 most populous cities in the US even mention the transit impacts of ride-sharing services Uber and Lyft, let alone driverless cars. Expert opinion on the impact of driverless cars on urban sprawl is divided. On one side, the argument goes that if driverless cars free up parking and garage space, there will be plentiful affordable new residential capacity negating the need for people to move further from city centres for affordable housing.


pages: 290 words: 85,847

A Brief History of Motion: From the Wheel, to the Car, to What Comes Next by Tom Standage

accelerated depreciation, active transport: walking or cycling, autonomous vehicles, back-to-the-city movement, bike sharing, car-free, carbon footprint, Cesare Marchetti: Marchetti’s constant, Chris Urmson, City Beautiful movement, Clapham omnibus, congestion charging, coronavirus, COVID-19, deep learning, Didi Chuxing, Donald Shoup, driverless car, Elaine Herzberg, Elon Musk, flex fuel, Ford Model T, Ford paid five dollars a day, garden city movement, General Motors Futurama, Ida Tarbell, Induced demand, interchangeable parts, invention of the wheel, James Watt: steam engine, Jane Jacobs, jitney, Joan Didion, John Zimmer (Lyft cofounder), Lewis Mumford, lockdown, Lyft, Marshall McLuhan, minimum wage unemployment, oil shock, Own Your Own Home, peak oil, prompt engineering, Ralph Nader, Richard Florida, ride hailing / ride sharing, Rosa Parks, safety bicycle, self-driving car, social distancing, Steve Jobs, streetcar suburb, tech bro, The Death and Life of Great American Cities, trade route, Travis Kalanick, Uber and Lyft, uber lyft, unbiased observer, Unsafe at Any Speed, Upton Sinclair, urban planning, urban sprawl, Victor Gruen, W. E. B. Du Bois, walkable city, white flight, wikimedia commons, Yom Kippur War, Zipcar

The latest twist on bike sharing is the option to rent electric bikes, which use a motor to assist the rider and make longer journeys less strenuous. The dockless bike-sharing model, combined with improvements in batteries and electric propulsion, has also led to a flowering of start-ups offering electric scooters, or e-scooters, for short trips. This model was pioneered by Bird and Lime, two American start-ups, in 2017. Uber and Lyft launched their own scooter-sharing services the following year. Since then the model has spread around the world, though not as quickly as dockless bike sharing because laws in some cities do not allow e-scooters. As with dockless bicycles, e-scooters have raised concerns about clutter on pavements, as well as the safety of riders and pedestrians.

A typical Western household, driving ten thousand miles a year, could therefore reduce its annual transport costs from $12,000 to $5,000 by switching to robotaxis. As a UBS analyst puts it, “Once the car becomes autonomous, the relevance of car ownership drops materially.” The possibility that cheap robotaxis could undermine car ownership explains why both ride-hailing firms, such as Uber and Lyft, and carmakers have been investing billions of dollars in autonomous-driving research. Any firm that develops a viable robotaxi would potentially be able to undercut both ride-hailing companies that rely on human drivers, and carmakers whose business model depends on selling people cars. Fear of this outcome has resulted in a constantly shifting web of alliances between AV start-ups, ride-hailing firms, and carmakers, as everyone tries to hedge bets.

Another nightmare scenario is that commuters who own their own AVs might ask their cars to drop them off at work, then order them to go home or spend the day circling the office, before picking them up in the evening. AVs might also undermine public transport systems. A study by the University of California, Davis, found that among Uber and Lyft riders in America, bus use had fallen by 6 percent and light-rail use by 3 percent. Cheap AV rides could draw even more people away from public transport and onto the roads. This might discourage further investment in public transport, which could in turn expand, rather than diminish, the size of transit deserts.


pages: 304 words: 86,028

Bootstrapped: Liberating Ourselves From the American Dream by Alissa Quart

2021 United States Capitol attack, 3D printing, affirmative action, Affordable Care Act / Obamacare, Alan Greenspan, Bernie Sanders, Black Lives Matter, Burning Man, Capital in the Twenty-First Century by Thomas Piketty, carried interest, coronavirus, COVID-19, critical race theory, crowdsourcing, Daniel Kahneman / Amos Tversky, David Graeber, defund the police, Donald Trump, Elon Musk, financial independence, fixed income, George Floyd, gig economy, glass ceiling, high net worth, housing justice, hustle culture, illegal immigration, impact investing, income inequality, independent contractor, invisible hand, Jeff Bezos, lockdown, longitudinal study, loss aversion, Lyft, Marc Benioff, Mark Zuckerberg, meta-analysis, microaggression, Milgram experiment, minimum wage unemployment, multilevel marketing, obamacare, Overton Window, payday loans, post-work, Ralph Waldo Emerson, ride hailing / ride sharing, Ronald Reagan, Salesforce, Scientific racism, sharing economy, Sheryl Sandberg, side hustle, Silicon Valley, Silicon Valley ideology, Snapchat, social distancing, Steve Jobs, Steve Wozniak, tech worker, TED Talk, Travis Kalanick, trickle-down economics, Uber and Lyft, uber lyft, union organizing, W. E. B. Du Bois, wealth creators, women in the workforce, working poor, Works Progress Administration

And while on a good day she’d make $180, she also had to pay to rent the car, which was $200 for the week, and then also gas, which averaged $90 per week. She was cashing out every day so she could put gas in the car every night. “I had to work constantly,” she recalled. After a year, Okawa started talking to other gig workers about the way these app-based companies treated their contractors. Uber and Lyft still classified ride-hailing drivers as contractors, so these companies didn’t pay into state unemployment funds. A University of California at Berkeley study found that they would owe the state $413 million, for the period from 2014 to 2019 alone, if they had correctly classified their drivers as employees.

“I am really glad I am a part of this movement,” Okawa said: her activism was saying no to the hustling mentality on a fundamental level, even if she still had to continue in accord with its practical demands to survive. Okawa, for instance, became involved in the opposition to California Proposition 22, the Uber- and Lyft-funded ballot measure that worked against California’s AB5. AB5 had been a huge victory when it was signed into law in 2019: it gave employee status to gig workers and made it much harder for the megacorporations to claim their workers were independent contractors rather than employees. Okawa also joined a local organizing group, We Drive Progress.

For instance, in the co-op’s early days, driver-owners did emergency food deliveries for those fearing COVID, for instance, and also drove their first customers to early voting at the behest of Ocasio-Cortez. The Drivers Cooperative’s cofounder Erik Forman, an organizer and a teacher with a taxi license, was inspired to create the co-op, he said, when frustrated drivers “kept coming to me to ask why we don’t start our own app.” Uber and Lyft claim to take 20 to 25 percent off of drivers’ rides, but a recent investigation revealed in some instances that the companies pocket as much as half. As we read in the account of Saori Okawa’s driving life in chapter 10, that the companies take such large shares of the profits was a problem exacerbated by pandemic economic losses and risks.


pages: 306 words: 82,909

A Hacker's Mind: How the Powerful Bend Society's Rules, and How to Bend Them Back by Bruce Schneier

4chan, Airbnb, airport security, algorithmic trading, Alignment Problem, AlphaGo, Automated Insights, banking crisis, Big Tech, bitcoin, blockchain, Boeing 737 MAX, Brian Krebs, Capital in the Twenty-First Century by Thomas Piketty, cloud computing, computerized trading, coronavirus, corporate personhood, COVID-19, cryptocurrency, dark pattern, deepfake, defense in depth, disinformation, Donald Trump, Double Irish / Dutch Sandwich, driverless car, Edward Thorp, Elon Musk, fake news, financial innovation, Financial Instability Hypothesis, first-past-the-post, Flash crash, full employment, gig economy, global pandemic, Goodhart's law, GPT-3, Greensill Capital, high net worth, Hyman Minsky, income inequality, independent contractor, index fund, information security, intangible asset, Internet of things, Isaac Newton, Jeff Bezos, job automation, late capitalism, lockdown, Lyft, Mark Zuckerberg, money market fund, moral hazard, move fast and break things, Nate Silver, offshore financial centre, OpenAI, payday loans, Peter Thiel, precautionary principle, Ralph Nader, recommendation engine, ride hailing / ride sharing, self-driving car, sentiment analysis, Skype, smart cities, SoftBank, supply chain finance, supply-chain attack, surveillance capitalism, systems thinking, TaskRabbit, technological determinism, TED Talk, The Wealth of Nations by Adam Smith, theory of mind, TikTok, too big to fail, Turing test, Uber and Lyft, uber lyft, ubercab, UNCLOS, union organizing, web application, WeWork, When a measure becomes a target, WikiLeaks, zero day

Their business model allows them to ignore dozens of laws regulating licensed taxis and limos, including worker protection laws, safety laws, consumer protection laws, permit and fee requirements, and public-good laws. Taxi drivers are required to have background checks. Uber and Lyft drivers are not (although they now grudgingly do so). Taxi companies must pay minimum wage and are subject to citywide caps on the number of vehicles they operate at any given time. Not Uber and Lyft. The list goes on and on. This all started around 2012, and Uber has since leveraged its competitive advantage over traditional taxis and limos to dominate the market. As of 2021, it operates in over 10,000 cities in 72 countries, completing 19 million trips each day.

It warps markets, allowing companies to charge prices that don’t reflect the true cost or value of what they’re selling. It permits unprofitable enterprises and unsustainable business models to thrive and proliferate. It also warps the market for talent—employees—especially in the tech sector. And finally, it warps entire market categories, like transportation, housing, and the media. Uber and Lyft, for example, have created an unsustainable market for hired-car rides by charging artificially low prices that do not accurately reflect the value of drivers’ labor. VC funding is also a hack on innovation. By favoring financial returns over substantive product improvements, it prioritizes certain kinds of innovation and ignores others.


pages: 511 words: 132,682

Competition Overdose: How Free Market Mythology Transformed Us From Citizen Kings to Market Servants by Maurice E. Stucke, Ariel Ezrachi

"Friedman doctrine" OR "shareholder theory", affirmative action, Airbnb, Alan Greenspan, Albert Einstein, Andrei Shleifer, behavioural economics, Bernie Sanders, Boeing 737 MAX, Cambridge Analytica, Cass Sunstein, choice architecture, cloud computing, commoditize, corporate governance, Corrections Corporation of America, Credit Default Swap, crony capitalism, delayed gratification, disinformation, Donald Trump, en.wikipedia.org, fake news, Garrett Hardin, George Akerlof, gig economy, Glass-Steagall Act, Goldman Sachs: Vampire Squid, Google Chrome, greed is good, hedonic treadmill, incognito mode, income inequality, income per capita, independent contractor, information asymmetry, invisible hand, job satisfaction, labor-force participation, late fees, loss aversion, low skilled workers, Lyft, mandatory minimum, Mark Zuckerberg, market fundamentalism, mass incarceration, Menlo Park, meta-analysis, Milgram experiment, military-industrial complex, mortgage debt, Network effects, out of africa, Paradox of Choice, payday loans, Ponzi scheme, precariat, price anchoring, price discrimination, profit maximization, profit motive, race to the bottom, Richard Thaler, ride hailing / ride sharing, Robert Bork, Robert Shiller, Ronald Reagan, search costs, shareholder value, Sheryl Sandberg, Shoshana Zuboff, Silicon Valley, Snapchat, Social Responsibility of Business Is to Increase Its Profits, Stanford prison experiment, Stephen Hawking, sunk-cost fallacy, surveillance capitalism, techlash, The Chicago School, The Market for Lemons, The Myth of the Rational Market, The Theory of the Leisure Class by Thorstein Veblen, The Wealth of Nations by Adam Smith, Thomas Davenport, Thorstein Veblen, Tim Cook: Apple, too big to fail, Tragedy of the Commons, transaction costs, Uber and Lyft, uber lyft, ultimatum game, Vanguard fund, vertical integration, winner-take-all economy, Yochai Benkler

Median net worth of Gen X households at the same age was about $15,100”). 14.Martha Ross and Natalie Holmes, “Meet the Millions of Young Adults Who Are Out of Work,” Brookings Institution, April 9, 2019, https://brook.gs/2UveFHI. 15.To illustrate how the digital economy can shift the risk from the powerful tech platforms to the worker, consider Uber and Lyft drivers. When the ride-sharing app enters into a new city, it needs to attract drivers. The first few drivers initially have a lot of power, as Uber and Lyft need to hold onto them (while recruiting even more drivers). They could possibly demand better wages. But as Uber and Lyft keep adding drivers, each driver now becomes slightly more expendable. As their numbers swell from a dozen to a few hundred and then a few thousand, each driver must compete even more fiercely for work, while each driver has even less power to negotiate for better wages and benefits. 16.Brief for the United States and the Federal Trade Commission as Amici Curiae in Support of Appellant and in Favor of Reversal, Chamber of Commerce of the United States of Am. v.

As for Generation Z (defined as those born in the mid-1990s to the early or mid-2000s) 17 percent of young adults ages eighteen to twenty-four are out of work in mid to large cities in the United States, totaling 2.3 million young people.14 They and future generations will likely join the swelling ranks of “precariats”—those clinging precariously to their current economic rung, while bearing ever greater risks in the digital economy.15 Should they try to organize to secure fairer wages, as many Uber and Lyft drivers attempted to do in Seattle in 2015, they can expect the government to intervene—and not on their behalf. Competition is inherently good, the FTC and DOJ will tell the court: Antitrust law “forbids independent contractors from collectively negotiating the terms of their engagement.”16 That’s price-fixing, which “is at the very core of the harms the antitrust laws seek to address.”17 Unionizing, which may be the only remedy left to the powerless, has also come under attack, in part for being anticompetitive—the very same rationale we saw that sent union leaders (and socialists) to jail under the Sherman Antitrust Act of 1890.


pages: 285 words: 86,853

What Algorithms Want: Imagination in the Age of Computing by Ed Finn

Airbnb, Albert Einstein, algorithmic bias, algorithmic management, algorithmic trading, AlphaGo, Amazon Mechanical Turk, Amazon Web Services, bitcoin, blockchain, business logic, Charles Babbage, Chuck Templeton: OpenTable:, Claude Shannon: information theory, commoditize, Computing Machinery and Intelligence, Credit Default Swap, crowdsourcing, cryptocurrency, data science, DeepMind, disruptive innovation, Donald Knuth, Donald Shoup, Douglas Engelbart, Douglas Engelbart, Elon Musk, Evgeny Morozov, factory automation, fiat currency, Filter Bubble, Flash crash, game design, gamification, Google Glasses, Google X / Alphabet X, Hacker Conference 1984, High speed trading, hiring and firing, Ian Bogost, industrial research laboratory, invisible hand, Isaac Newton, iterative process, Jaron Lanier, Jeff Bezos, job automation, John Conway, John Markoff, Just-in-time delivery, Kickstarter, Kiva Systems, late fees, lifelogging, Loebner Prize, lolcat, Lyft, machine readable, Mother of all demos, Nate Silver, natural language processing, Neal Stephenson, Netflix Prize, new economy, Nicholas Carr, Nick Bostrom, Norbert Wiener, PageRank, peer-to-peer, Peter Thiel, power law, Ray Kurzweil, recommendation engine, Republic of Letters, ride hailing / ride sharing, Satoshi Nakamoto, self-driving car, sharing economy, Silicon Valley, Silicon Valley billionaire, Silicon Valley ideology, Silicon Valley startup, SimCity, Skinner box, Snow Crash, social graph, software studies, speech recognition, statistical model, Steve Jobs, Steven Levy, Stewart Brand, supply-chain management, tacit knowledge, TaskRabbit, technological singularity, technological solutionism, technoutopianism, the Cathedral and the Bazaar, The Coming Technological Singularity, the scientific method, The Signal and the Noise by Nate Silver, The Structural Transformation of the Public Sphere, The Wealth of Nations by Adam Smith, transaction costs, traveling salesman, Turing machine, Turing test, Uber and Lyft, Uber for X, uber lyft, urban planning, Vannevar Bush, Vernor Vinge, wage slave

These universes are aesthetically neat and tidy, with rules and conditions that, we believe, can be learned and ultimately mastered. The aesthetic of computational order echoes Bogost’s warning about the cathedral; its appeal for human engagement is rapidly expanding from play to work. Increasingly, startups are bringing this logic to the real world, creating game-like experiences for services like taxis (e.g., Uber and Lyft), household chores (Handy, HomeJoy, Mopp) and even office communications (Slack). These companies operate in what design entrepreneur Scott Belsky calls the “interface layer,” using appealing design to clarify and rationalize messy aspects of cultural life into simple, dependable choices.32 The Interface Economy If Zynga and its cohort of game-makers have found ways to extract labor value from entertainment, the new wave of interface layer companies is reframing labor as a kind of entertainment, adopting the optimistic framing of the “sharing economy.”

For companies like Lyft and more deliberately intimate interface layer systems like the dating app Tindr, the “sharing economy” is not about money at all, but about that experience of companionship. If these business models are founded on exploiting certain kinds of alienated labor and attention, their customer experience promises relief from that alienation. Even as Uber and Lyft collect their invisible commissions on unseen transactions, the affective experience is one of a specially branded community. But that community is crucially, essentially mediated by the algorithm. Drivers and riders are rated and vetted through computation; the interface layer bringing them together is also the central arbiter of trust.

By relying on Amazon’s task distribution network and personal computers, the system also constrains the bodies and the time of its users (depending on the fluctuations of what piecework is available at any given time, and how well that work is compensated). The system produces HITs but also a kind of labor culture around those HITs. That trace of a labor culture also appears in the apps and interfaces of the sharing economy. As the ads for Uber and Lyft suggest (figure 4.3, figure 4.4), a huge amount of energy in the interface economy goes toward the production of affect among consumers and providers of services. User feedback, emotional enjoyment, and a neoliberal ideal of independence define these systems at every level, from their logos to their feedback mechanisms.


pages: 320 words: 90,526

Squeezed: Why Our Families Can't Afford America by Alissa Quart

Affordable Care Act / Obamacare, Airbnb, Alvin Toffler, antiwork, Automated Insights, autonomous vehicles, barriers to entry, basic income, Bernie Sanders, business intelligence, do what you love, Donald Trump, Downton Abbey, East Village, Elon Musk, emotional labour, full employment, future of work, gentrification, gig economy, glass ceiling, haute couture, income inequality, independent contractor, information security, Jaron Lanier, Jeremy Corbyn, job automation, late capitalism, Lyft, minimum wage unemployment, moral panic, new economy, nuclear winter, obamacare, peak TV, Ponzi scheme, post-work, precariat, price mechanism, rent control, rent stabilization, ride hailing / ride sharing, school choice, sharing economy, Sheryl Sandberg, Silicon Valley, Skype, Snapchat, stop buying avocado toast, surplus humans, TaskRabbit, tech worker, TED Talk, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, union organizing, universal basic income, upwardly mobile, wages for housework, WeWork, women in the workforce, work culture , working poor

These conglomerates are gargantuan outfits that offer short-term, cheap services delivered by “independent” contractors. They have become hugely successful by trading labor across platforms over which workers have little to no say. There was also a gendered element of this dark Silicon Valley fantasia. Of the dozen Uber and Lyft driver-teachers I spoke to in 2016, most were also parents, and almost all were men. (Of course, this is often true of the workers employed by these services.) It made me wonder whether men were sometimes more willing to literally drive the extra mile to retain their class status. After all, these men were also affected by the American societal amnesia about the cost of raising a family.

(Ironies compound: as the writer Douglas Rushkoff has noted, today’s drivers are themselves now part of the research and development for what will most likely be the driverless future, building up a company with their labor in preparation for a time when the company will do away with them.) “Our demand is to freeze all the subsidies for the research on autonomous vehicles until there is a plan for workers who are going to lose their jobs,” Lerner said. As part of this effort, NYCC regularly puts together conference calls between dozens of taxi, Uber, and Lyft drivers. They discuss how they’ve all gotten massive loans to buy cars for Uber and how they are still going to be paying off these loans when the robots come for their jobs—the robot vehicles Uber has promised within the decade. The robot-fearing Middle Precariat also includes parts of the legal profession: robots are threatening higher-end jobs, including those usually carried out by humans handling information.

Scott, 180 Five Star Sitters, 64 Flat tax, and UBI, 241 Florida Coastal School of Law, 101, 104–5 Flushing High School, 131, 140 Fogel, Karl, 228 Folbre, Nancy, 281n Food stamps, 34, 35, 44, 151, 156, 201, 249, 251 Forbes (Magazine), 235–36 Ford, Martin, 240 Forest Hills High School, 131, 140 Forever clock, 69, 72, 85–86, 238 For-profit schools, 101, 104–5, 172–78, 183, 184 Fox, Carly, 201–2 Fracking, 54 France day care, 80 hospital birth costs, 24 parental leave, 25, 26 social class and education, 103–4 Freeman, Joshua, 71, 84–85 French Women Don’t Get Fat (Guiliano), 25 Freud, Sigmund, 247 Freyer, Randi, 19–20 Frontier Airlines, 19–20 “Fronting,” 6 Fruscione, Joe, 56–57, 59 Full-time equivalents (FTEs), 226 Gabler, Neal, 95 Gainer, Mary-Grace, 54 Gap Inc., 71, 85 Gates, Bill, 226 Gender “class ceiling,” 10, 31 devaluation framework of care work, 76–77, 128–29 motherhood bias, 5–6, 10, 31 pay gap, 16, 51, 76, 104, 151–52 “precarious manhood” theory, 150–51, 262 rethinking traditional roles, 262 TV and, 220–21 Uber and Lyft driver-teachers, 150–51 Gender Equality Law Center (GELC), 29, 30 Geography and basic budget threshold, 99 Georgetown University, 56 George Washington University, 57 Germany day care, 80 parental leave, 26 Gerson, Kathleen, 75, 196 Gifted-and-talented programs, 135, 136 Gig economy, 147–63, 172.


pages: 307 words: 90,634

Insane Mode: How Elon Musk's Tesla Sparked an Electric Revolution to End the Age of Oil by Hamish McKenzie

Airbnb, Albert Einstein, augmented reality, autonomous vehicles, barriers to entry, basic income, Bay Area Rapid Transit, Ben Horowitz, business climate, car-free, carbon footprint, carbon tax, Chris Urmson, Clayton Christensen, clean tech, Colonization of Mars, connected car, crony capitalism, Deng Xiaoping, Didi Chuxing, disinformation, disruptive innovation, Donald Trump, driverless car, Elon Musk, Fairchild Semiconductor, Ford Model T, gigafactory, Google Glasses, Hyperloop, information security, Internet of things, Jeff Bezos, John Markoff, low earth orbit, Lyft, Marc Andreessen, margin call, Mark Zuckerberg, Max Levchin, megacity, Menlo Park, Nikolai Kondratiev, oil shale / tar sands, paypal mafia, Peter Thiel, ride hailing / ride sharing, Ronald Reagan, self-driving car, Shenzhen was a fishing village, short selling, side project, Silicon Valley, Silicon Valley startup, Snapchat, Solyndra, South China Sea, special economic zone, stealth mode startup, Steve Jobs, tech worker, TechCrunch disrupt, TED Talk, Tesla Model S, Tim Cook: Apple, Tony Fadell, Uber and Lyft, uber lyft, universal basic income, urban planning, urban sprawl, Zenefits, Zipcar

Santa Clara–based graphics chipmaker Nvidia has added hundreds of engineers to its auto-focused teams in the past few years. “We didn’t start out to be an auto company,” Danny Shapiro, Nvidia’s senior director of automotive, told the Times. “But everything that is changing a car has nothing to do with the auto industry of the past.” Start-ups have spotted the opportunity, too, of course. Uber and Lyft, both based in San Francisco, are hogging the early spoils in the ride-sharing market. Younger companies like Mountain View’s Smartcar (infrastructure for the connected car), San Francisco’s Reviver (digital license plates), and Palo Alto’s Nauto (AI-powered autonomous driving) are pursuing other software-related opportunities.

There are 5.2 million people in the trucking industry who don’t drive trucks, as well as the millions who provide food, gasoline, accommodation, and other services for truckers. If truck drivers are no longer on the roads, all those people will feel the pain, too. Then you can look at the people who drive taxis, Ubers, and Lyfts. Many taxi drivers have already switched to driving for the ride-sharing companies, but when robotaxis and self-driving Ubers are widespread, many of those jobs will be at risk. Some observers believe that the advent of the autonomous era could have a measurable impact on capitalism as we know it.

Columbia University’s Earth Institute has found that shared autonomous cars would cost about fifteen cents per mile to operate, compared to sixty cents a mile for personal gasoline cars. Savings would come from improved driving efficiency, reduced wear and tear, and cheaper fuel (electricity). If you take the human driver out of the equation for Uber and Lyft, the cost of getting from A to B on four wheels would also be steeply reduced. We could sell our cars then, and never again have to worry about taking them in for inspection, changing the tires, or being exploited by unscrupulous mechanics. (Unfortunately, of course, people in those job sectors would see their incomes suffer.)


pages: 324 words: 89,875

Modern Monopolies: What It Takes to Dominate the 21st Century Economy by Alex Moazed, Nicholas L. Johnson

3D printing, Affordable Care Act / Obamacare, Airbnb, altcoin, Amazon Web Services, Andy Rubin, barriers to entry, basic income, bitcoin, blockchain, book value, Chuck Templeton: OpenTable:, cloud computing, commoditize, connected car, disintermediation, driverless car, fake it until you make it, future of work, gig economy, hockey-stick growth, if you build it, they will come, information asymmetry, Infrastructure as a Service, intangible asset, Internet of things, invisible hand, jimmy wales, John Gruber, Kickstarter, Lean Startup, Lyft, Marc Andreessen, Marc Benioff, Mark Zuckerberg, Marshall McLuhan, means of production, Metcalfe’s law, money market fund, multi-sided market, Network effects, PalmPilot, patent troll, peer-to-peer lending, Peter Thiel, pets.com, platform as a service, power law, QWERTY keyboard, Ray Kurzweil, ride hailing / ride sharing, road to serfdom, Robert Metcalfe, Ronald Coase, Salesforce, self-driving car, sharing economy, Sheryl Sandberg, Silicon Valley, Skype, Snapchat, social graph, software as a service, software is eating the world, source of truth, Startup school, Steve Jobs, TaskRabbit, technological determinism, the medium is the message, transaction costs, transportation-network company, traveling salesman, Travis Kalanick, two-sided market, Uber and Lyft, Uber for X, uber lyft, vertical integration, white flight, winner-take-all economy, Y Combinator

A great example of this is the console industry, where the Xbox One and Playstation 4 are sold at or below cost in order to get as many users as possible onto the platform. These platforms can then use their large consumer base to attract game developers, whom they charge licensing fees. Many platforms also provide guarantees to producers in order to get them to join. Heavy competition for drivers on ride-sharing platforms has led both Uber and Lyft to offer minimum-earnings guarantees to drivers who join. Handy also offers a guarantee to producers from other on-demand services marketplaces who join its network. Product Features Subsidies Another way to subsidize value is through product features. Many platforms create special functionality for power users in order to increase loyalty and usage among this prized user group.

Well, thanks to Breeze, a San Francisco-based startup: no car, no problem. Breeze leases cars at $195 a week to aspiring Uber or Lyft drivers. In late 2013, Uber also began partnering with third-party lenders to offer vehicle financing to would-be drivers.2 Insurance is another big opportunity. Both Uber and Lyft provide insurance coverage while drivers are on a job, but when they’re not on the way to or driving a passenger, they are out of luck. Even worse, many personal auto insurance policies will cancel your policy if they find out you work for Uber (since the policy is not meant to cover commercial activity), and traditional commercial insurance options are prohibitively expensive for many part-time drivers.

“The existing model for insurance hasn’t been able to adapt [to Uber],” Metromile CEO Dan Preston said.3 “We have a technology that drives the insurance product.” More mainstream insurance companies, such as Geico and Progressive, have followed Metromile’s lead by offering ride-share insurance that caters to Uber and Lyft drivers. This phenomenon of derivative businesses being built around larger platform companies isn’t new. The legion of search engine optimization experts that sprang up to help businesses grapple with Google’s search engine are an obvious precedent, as are the legions of people and companies that hold some variation of the title “social media manager.”


pages: 278 words: 91,332

Carmageddon: How Cars Make Life Worse and What to Do About It by Daniel Knowles

active transport: walking or cycling, autonomous vehicles, Bandra-Worli Sea Link, bank run, big-box store, bike sharing, Boeing 747, Boris Johnson, business cycle, car-free, carbon footprint, congestion charging, congestion pricing, coronavirus, COVID-19, Crossrail, decarbonisation, deindustrialization, Detroit bankruptcy, Donald Shoup, Donald Trump, driverless car, Elaine Herzberg, Elon Musk, first-past-the-post, Ford Model T, Frank Gehry, garden city movement, General Motors Futurama, gentrification, ghettoisation, high-speed rail, housing crisis, Hyperloop, Induced demand, James Watt: steam engine, Jane Jacobs, Jeremy Corbyn, Jevons paradox, Lewis Mumford, lockdown, Lyft, megacity, megastructure, New Urbanism, Northern Rock, parking minimums, Piers Corbyn, Richard Florida, ride hailing / ride sharing, safety bicycle, self-driving car, Silicon Valley, Southern State Parkway, Steve Jobs, TED Talk, Tesla Model S, The Death and Life of Great American Cities, the High Line, Traffic in Towns by Colin Buchanan, Uber and Lyft, uber lyft, upwardly mobile, urban planning, urban renewal, walkable city, white flight, white picket fence, Yom Kippur War, young professional

To do so they have broken laws and flouted regulations intended to control traffic and pollution, while burdening millions of working-class people with loans that they can barely service. But their promise, that car-sharing would somehow alleviate traffic, has proven hollow. Uber’s investors haven’t even made a profit. All they have done is generate traffic. A 2018 study by Schallar Consulting found that Uber and Lyft increased the number of cars on some American city streets by 180 percent. Another study of San Francisco found that ride-sharing companies accounted for more than half of the city’s growth in traffic. Lyft drivers spend a fifth of their time driving around empty, waiting for passengers. In Britain, Ubers are not carrying a passenger for 58 percent of the time they are driving.

“It’s time to stop enabling drivers in any partially automated vehicle to pretend that they have driverless cars,” said its chairman, Robert Sumwalt, in 2020. (In January 2021 Tesla responded by releasing a car with a video game console built in, which drivers can use while their car is moving—essentially two middle fingers stuck up at the regulators.) That is why most of the attempts to develop truly self-driving cars have proven so difficult. Uber and Lyft, the taxi companies, had invested heavily in trying to develop the technology, on the basis that getting rid of the drivers was probably their best hope of becoming seriously profitable. But Uber abandoned its project in 2020 after spending $1 billion on it, selling its unit to a firm called Aurora.

In both countries, and in others too, the share has been rising fast in the past couple of decades. When they do move out, or have kids, they are, much as their parents did, also moving out to car-centric suburbs, and to car-centric cities like Atlanta and Houston, because that is where housing is cheapest. They also love ride-sharing apps like Uber and Lyft, which are incredibly convenient, for sure, but have also clogged the traffic of big cities enormously. The turn away from cars is a little like the turn away from marriage and having children. People are waiting much longer to do it, but they are ultimately still doing it. Much as I did, young people may be learning to drive later, but for the most part they still seem to be learning to drive.


pages: 168 words: 50,647

The End of Jobs: Money, Meaning and Freedom Without the 9-To-5 by Taylor Pearson

Airbnb, barriers to entry, Ben Horowitz, Black Swan, call centre, cloud computing, commoditize, content marketing, creative destruction, David Heinemeier Hansson, drop ship, Elon Musk, en.wikipedia.org, Frederick Winslow Taylor, future of work, Google Hangouts, Hacker Conference 1984, Kaizen: continuous improvement, Kevin Kelly, Kickstarter, knowledge economy, knowledge worker, loss aversion, low skilled workers, Lyft, Marc Andreessen, Mark Zuckerberg, market fragmentation, means of production, Oculus Rift, passive income, passive investing, Peter Thiel, power law, remote working, Ronald Reagan: Tear down this wall, scientific management, sharing economy, side hustle, side project, Silicon Valley, Skype, software as a service, software is eating the world, Startup school, Steve Jobs, Steve Wozniak, Stewart Brand, systems thinking, TED Talk, telemarketer, the long tail, Thomas Malthus, Uber and Lyft, uber lyft, unpaid internship, Watson beat the top human players on Jeopardy!, web application, Whole Earth Catalog

There are not many more houses now in the U.S. than there were 5 years ago, but AirBnB has created more inventory (extra rooms to stay in) without creating more supply (building hotels). Uber and Lyft have done for the taxi industry what AirBnB has done for the hotel industry—anyone with a car can become a taxi driver by signing up online to drive for the service. In the past it was difficult and expensive to become a taxi driver. Some cities require drivers to invest tens of thousands of dollars to buy a medallion just to drive a taxi. Uber and Lyft now let anyone do the work by instead going through a background check. A lot of people use this as supplemental income when making a job transition.


pages: 296 words: 98,018

Winners Take All: The Elite Charade of Changing the World by Anand Giridharadas

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, activist lawyer, affirmative action, Airbnb, benefit corporation, Bernie Sanders, bitcoin, Black Lives Matter, Boeing 747, Brexit referendum, Burning Man, Capital in the Twenty-First Century by Thomas Piketty, carried interest, cognitive dissonance, collective bargaining, corporate raider, corporate social responsibility, critical race theory, crowdsourcing, David Brooks, David Heinemeier Hansson, deindustrialization, disintermediation, do well by doing good, Donald Trump, Edward Snowden, Elon Musk, fake it until you make it, fake news, food desert, friendly fire, gentrification, global pandemic, high net worth, hiring and firing, housing crisis, Hyperloop, impact investing, income inequality, independent contractor, invisible hand, Jeff Bezos, Kevin Roose, Kibera, Kickstarter, land reform, Larry Ellison, Lyft, Marc Andreessen, Mark Zuckerberg, microaggression, new economy, Occupy movement, offshore financial centre, opioid epidemic / opioid crisis, Panopticon Jeremy Bentham, Parag Khanna, Paul Graham, Peter Thiel, plutocrats, profit maximization, public intellectual, risk tolerance, rolodex, Ronald Reagan, shareholder value, sharing economy, Sheryl Sandberg, side hustle, side project, Silicon Valley, Silicon Valley billionaire, Silicon Valley startup, Skype, social distancing, Social Responsibility of Business Is to Increase Its Profits, Steven Pinker, systems thinking, tech baron, TechCrunch disrupt, technoutopianism, TED Talk, The Chicago School, The Fortune at the Bottom of the Pyramid, the High Line, The Wealth of Nations by Adam Smith, Thomas L Friedman, too big to fail, Travis Kalanick, trickle-down economics, Two Sigma, Uber and Lyft, uber lyft, Upton Sinclair, Vilfredo Pareto, Virgin Galactic, work culture , working poor, zero-sum game

To be a contractor is to give up certain protections and benefits in exchange for independence, and thus that independence must be genuine. The case inspired the judges in the two cases, Edward Chen and Vince Chhabria, to grapple thoughtfully with the question of where power lurks in a new networked age. It was no surprise that Uber and Lyft took the rebel position. Like Airbnb, Uber and Lyft claimed not to be powerful. Uber argued that it was just a technology firm facilitating links between passengers and drivers, not a car service. The drivers who had signed contracts were robust agents of their own destiny. Judge Chen derided this argument. “Uber is no more a ‘technology company,’ ” he wrote, “than Yellow Cab is a ‘technology company’ because it uses CB radios to dispatch taxi cabs, John Deere is a ‘technology company’ because it uses computers and robots to manufacture lawn mowers, or Domino Sugar is a ‘technology company’ because it uses modern irrigation techniques to grow its sugar cane.”

It gives drivers detailed instructions about how to conduct themselves. Notably, Lyft’s own drivers’ guide and FAQs state that drivers are “driving for Lyft.” Therefore, the argument that Lyft is merely a platform, and that drivers perform no service for Lyft, is not a serious one. The judges believed Uber and Lyft to be more powerful than they were willing to admit, but they also conceded that the companies did not have the same power over employees as an old-economy employer like Walmart. “The jury in this case will be handed a square peg and asked to choose between two round holes,” Judge Chhabria wrote.


pages: 349 words: 99,230

Essential: How the Pandemic Transformed the Long Fight for Worker Justice by Jamie K. McCallum

Affordable Care Act / Obamacare, American Legislative Exchange Council, Anthropocene, antiwork, Bear Stearns, Bernie Sanders, Black Lives Matter, carbon tax, cognitive dissonance, collective bargaining, company town, coronavirus, COVID-19, death from overwork, defund the police, deindustrialization, deskilling, Donald Trump, Elon Musk, future of work, George Floyd, gig economy, global pandemic, global supply chain, Great Leap Forward, green new deal, housing crisis, income inequality, independent contractor, invisible hand, Jeff Bezos, job automation, karōshi / gwarosa / guolaosi, labor-force participation, laissez-faire capitalism, lockdown, Loma Prieta earthquake, low-wage service sector, Lyft, manufacturing employment, market fundamentalism, minimum wage unemployment, moral hazard, Naomi Klein, occupational segregation, post-work, QR code, race to the bottom, remote working, rewilding, ride hailing / ride sharing, side hustle, single-payer health, social distancing, stock buybacks, strikebreaker, subprime mortgage crisis, TaskRabbit, The Great Resignation, the strength of weak ties, trade route, Triangle Shirtwaist Factory, Uber and Lyft, uber lyft, union organizing, Upton Sinclair, women in the workforce, working poor, workplace surveillance , Works Progress Administration, zoonotic diseases

Cobbled together from a group of local shopkeepers, students, and a trade union of couriers, the organization filled a clear mission while also deepening the social fabric of the city that was rent asunder by COVID.7 When the pandemic hit the US, American essential workers also formed mutual aid societies to provide goods and services not supplied by the government or corporations. Gig workers in delivery and transportation industries developed apps to help each other learn how to respond to the neediest situations first, sometimes bucking priorities from the likes of Uber and Lyft. The Gig Workers Collective created a simple map that allows drivers to coordinate mutual aid activities like food delivery and medical personnel transport. “Between the lack of financial security (no sick leave), the number of workers living week to week, and the inability for some workers to take time off due to low income, gig workers are some of the most vulnerable dealing with the COVID-19 outbreak,” their website stated.8 Factory workers in Marcus Hook, Pennsylvania, moved into the Braskem petrochemical plant on March 23, 2020, with sleeping bags and toothbrushes.

Brad Plumer, “How the Recession Turned Middle-Class Jobs into Low-Wage Jobs,” Washington Post, February 28, 2013, www.washingtonpost.com/news/wonk/wp/2013/02/28/how-the-recession-turned-middle-class-jobs-into-low-wage-jobs/. 7. Congressional Research Service, Labor Market Patterns Since 2007, October 3, 2018, https://sgp.fas.org/crs/misc/R45330.pdf. 8. Rosenblat quoted in Bloomberg: “It was dire economic straits that gave birth to the gig economy in the first place. Uber and Lyft sprang from the 2008 financial crisis—a time when many people were willing to accept that any work was better than none at all. Americans rallied around the concept of a ‘side hustle,’ and governments effectively endorsed the practice by declining to get involved in the smartphone-based labor markets taking shape.”

Dominic Gates, “Boeing Outsourcing 600 IT Jobs to Dell,” Seattle Times, February 3, 2021, www.seattletimes.com/business/boeing-aerospace/boeing-outsourcing-600-it-jobs-to-dell/; Tracy Rucinski and Sanjana Shivdas, “United Airlines to Outsource Catering Operations from October,” Reuters, July 29, 2021, www.reuters.com/business/aerospace-defense/united-airlines-outsource-catering-operations-october-2021-07-29/. 36. Suhauna Hussain, Johana Bhuiyan, and Ryan Menezes, “How Uber and Lyft Persuaded California to Vote Their Way,” Los Angeles Times, November 13, 2020, www.latimes.com/business/technology/story/2020-11-13/how-uber-lyft-doordash-won-proposition-22. 37. Eve Batey, “Eater Readers Overwhelmingly Oppose Prop 22,” Eater SF, November 2, 2020, https://sf.eater.com/2020/11/2/21546110/doordash-uber-prop-22-election-2020-polling; Alex N.


pages: 590 words: 156,001

Fodor's Oregon by Fodor's Travel Guides

Airbnb, bike sharing, BIPOC, car-free, Kickstarter, Lyft, Mason jar, messenger bag, off grid, off-the-grid, QR code, ride hailing / ride sharing, Rosa Parks, tech bro, tech worker, Uber and Lyft, uber lyft, walkable city, Wall-E, white flight, white picket fence, Works Progress Administration

It is illegal to talk or text on a cell phone while operating a motor vehicle, and doing so will net you a hefty fine. Use a wireless headset device if you need to stay connected. 6 Taxi Portland has several reliable taxi companies and is also well served by ride-share companies, such as Uber and Lyft. It can be expensive to get around town by cab, however, and you need to call for a taxi, as it’s very difficult to hail them on the street. In Portland the flag-drop rate is $3.80 and then $2.80 per mile, and Uber and Lyft trips typically cost less. Make sure to ask whether the driver takes credit cards, whether there’s a minimum fare, and whether there are charges for extra passengers. Other charges may include waiting times and airport minimums.

You purchase your ticket before boarding at one of the vending machines in the terminal and at every MAX stop, or by downloading the TriMet Hop Fastpass app and paying with your phone; tickets are also good on TriMet buses and the Portland Streetcar, and transfers within 2½ hours of the time of purchase are free. Uber and Lyft have dedicated pickup areas at the airport; the cost for either between the airport and Downtown averages around $25 to $35 (a taxi generally runs about $10 more). CAR Although traffic has increased dramatically in recent years (Portland ranks as one of the worst cities in the country for rush-hour commuter traffic), it’s still a fairly easy city to navigate by car, and if you’re planning to explore neighboring regions—such as the coast, Willamette wine country, and Columbia Gorge—it’s best to do so by car, as public transportation options to these areas, especially the coast, are very limited.

Rental cars are available for pickup at the airport from several national agencies. Enviro Shuttle provides transportation throughout the region (reservations requested); a ride from the airport to addresses within Bend costs about $40. Taxis are available curbside, or can be summoned from the call board inside the airport; rideshare services Uber and Lyft both service RDM. Portland’s airport is 160 miles northwest of Bend, and daily flights connect the two cities. AIR CONTACTS Redmond Municipal Airport–Roberts Field. (RDM) E 2522 S.E. Jesse Butler Circle, Redmond P 541/548–0646 w flyrdm.com. Enviro Shuttle. P 541/598–5384 w enviroshuttle.net. BUS The Central Oregon Breeze, a regional carrier, runs one bus a day each way between Portland and Bend, with stops in Redmond and Madras.


pages: 208 words: 57,602

Futureproof: 9 Rules for Humans in the Age of Automation by Kevin Roose

"World Economic Forum" Davos, adjacent possible, Airbnb, Albert Einstein, algorithmic bias, algorithmic management, Alvin Toffler, Amazon Web Services, Atul Gawande, augmented reality, automated trading system, basic income, Bayesian statistics, Big Tech, big-box store, Black Lives Matter, business process, call centre, choice architecture, coronavirus, COVID-19, data science, deep learning, deepfake, DeepMind, disinformation, Elon Musk, Erik Brynjolfsson, factory automation, fake news, fault tolerance, Frederick Winslow Taylor, Freestyle chess, future of work, Future Shock, Geoffrey Hinton, George Floyd, gig economy, Google Hangouts, GPT-3, hiring and firing, hustle culture, hype cycle, income inequality, industrial robot, Jeff Bezos, job automation, John Markoff, Kevin Roose, knowledge worker, Kodak vs Instagram, labor-force participation, lockdown, Lyft, mandatory minimum, Marc Andreessen, Mark Zuckerberg, meta-analysis, Narrative Science, new economy, Norbert Wiener, Northpointe / Correctional Offender Management Profiling for Alternative Sanctions, off-the-grid, OpenAI, pattern recognition, planetary scale, plutocrats, Productivity paradox, QAnon, recommendation engine, remote working, risk tolerance, robotic process automation, scientific management, Second Machine Age, self-driving car, Shoshana Zuboff, Silicon Valley, Silicon Valley startup, social distancing, Steve Jobs, Stuart Kauffman, surveillance capitalism, tech worker, The Future of Employment, The Wealth of Nations by Adam Smith, TikTok, Travis Kalanick, Uber and Lyft, uber lyft, universal basic income, warehouse robotics, Watson beat the top human players on Jeopardy!, work culture

I interviewed users of social media platforms like YouTube and Facebook, who had thought that those platforms’ AI-driven recommendation systems would help them find interesting and relevant content, but who had instead been led down rabbit holes filled with misinformation and conspiracy theories. I heard about teachers whose schools had implemented high-tech “personalized learning” systems in hopes of improving student outcomes, but who had found themselves fumbling with broken tablet computers and erratic software. I listened to the complaints of Uber and Lyft drivers who had been lured by the promise of flexible employment, but then found themselves suffering under the thumb of a draconian algorithm that nudged them to work longer hours, punished them for taking breaks, and constantly manipulated their pay. All of these stories seemed to indicate that AI and automation were working well for some people—namely, the executives and investors who built and profited from the technology—but that they weren’t making life better for everyone.

Amazon uses complex algorithms to track the productivity of its warehouse workers, and can reportedly even automatically generate the paperwork required to fire underperformers. IBM has used Watson, its AI platform, in employee performance reviews—meaning that your bonus might be determined not simply by how you did last year, but by how the algorithm predicts you’ll do next year. On-demand platforms like Uber and Lyft have dispensed with the idea of human supervision altogether, putting decisions like pay, dispatching, and dispute resolution in the hands of algorithms. Algorithmic management has become a lucrative industry. In addition to Cogito, there are also retail-oriented AI companies like Percolata, a Silicon Valley start-up that counts Uniqlo and 7-Eleven among its clients, which uses in-store sensors to calculate a “true productivity” score for each worker.


pages: 501 words: 114,888

The Future Is Faster Than You Think: How Converging Technologies Are Transforming Business, Industries, and Our Lives by Peter H. Diamandis, Steven Kotler

Ada Lovelace, additive manufacturing, Airbnb, Albert Einstein, AlphaGo, Amazon Mechanical Turk, Amazon Robotics, augmented reality, autonomous vehicles, barriers to entry, Big Tech, biodiversity loss, bitcoin, blockchain, blood diamond, Boston Dynamics, Burning Man, call centre, cashless society, Charles Babbage, Charles Lindbergh, Clayton Christensen, clean water, cloud computing, Colonization of Mars, computer vision, creative destruction, CRISPR, crowdsourcing, cryptocurrency, data science, Dean Kamen, deep learning, deepfake, DeepMind, delayed gratification, dematerialisation, digital twin, disruptive innovation, Donald Shoup, driverless car, Easter island, Edward Glaeser, Edward Lloyd's coffeehouse, Elon Musk, en.wikipedia.org, epigenetics, Erik Brynjolfsson, Ethereum, ethereum blockchain, experimental economics, fake news, food miles, Ford Model T, fulfillment center, game design, Geoffrey West, Santa Fe Institute, gig economy, gigafactory, Google X / Alphabet X, gravity well, hive mind, housing crisis, Hyperloop, impact investing, indoor plumbing, industrial robot, informal economy, initial coin offering, intentional community, Intergovernmental Panel on Climate Change (IPCC), Internet of things, invention of the telegraph, Isaac Newton, Jaron Lanier, Jeff Bezos, job automation, Joseph Schumpeter, Kevin Kelly, Kickstarter, Kiva Systems, late fees, Law of Accelerating Returns, life extension, lifelogging, loss aversion, Lyft, M-Pesa, Mary Lou Jepsen, Masayoshi Son, mass immigration, megacity, meta-analysis, microbiome, microdosing, mobile money, multiplanetary species, Narrative Science, natural language processing, Neal Stephenson, Neil Armstrong, Network effects, new economy, New Urbanism, Nick Bostrom, Oculus Rift, One Laptop per Child (OLPC), out of africa, packet switching, peer-to-peer lending, Peter H. Diamandis: Planetary Resources, Peter Thiel, planned obsolescence, QR code, RAND corporation, Ray Kurzweil, RFID, Richard Feynman, Richard Florida, ride hailing / ride sharing, risk tolerance, robo advisor, Satoshi Nakamoto, Second Machine Age, self-driving car, Sidewalk Labs, Silicon Valley, Skype, smart cities, smart contracts, smart grid, Snapchat, SoftBank, sovereign wealth fund, special economic zone, stealth mode startup, stem cell, Stephen Hawking, Steve Jobs, Steve Jurvetson, Steven Pinker, Stewart Brand, supercomputer in your pocket, supply-chain management, tech billionaire, technoutopianism, TED Talk, Tesla Model S, Tim Cook: Apple, transaction costs, Uber and Lyft, uber lyft, unbanked and underbanked, underbanked, urban planning, Vision Fund, VTOL, warehouse robotics, Watson beat the top human players on Jeopardy!, We wanted flying cars, instead we got 140 characters, X Prize

What can we do with this identity? Own our own data, for one. Blockchain IDs could also facilitate fair and accurate voting. Lastly, if your identity can be established, then a reputation score can easily be attached. This score allows for things like peer-to-peer ridesharing, which today require trusted third parties named “Uber” and “Lyft.” In the same way that blockchain can validate identity, it can also validate any asset—for example, ensuring that your engagement ring isn’t a blood diamond. Land titles are another opportunity, especially since a considerable portion of the planet lives on land they don’t own, or not officially.

While robo-advisors still account for only roughly 1 percent of total U.S. investment, Business Insider Intelligence estimates that number will climb to $4.6 trillion by 2022. Finally we come to our last category, using money to pay for things. But we already know this story. When was the last time you dropped coins into a toll booth? Or paid cash for a cab ride? In fact, Uber and Lyft allow us to get around a city without a wallet. Couple cashier-less stores like Amazon Go with services like Uber Eats and these wallet-less ways are about to become the new normal. Denmark stopped printing money in 2017. The year prior, in an attempt to expand mobile banking and demonetize the country’s gray-market economy, India recalled 86 percent of its cash.

For most of the last century, standard metrics for business success were number of employees, ownership of assets, that sort of thing. In our exponential world, agility beats stability, so why own when you can lease? And why lease when you can crowdsource? Airbnb built the largest hotel chain in the world, yet doesn’t own a single room. Uber and Lyft have all but replaced cab companies in every major metropolis yet don’t own a single taxi. And this level of flexibility, while now a requirement in business, is equally necessary in governance, which is our third and final category. Modern ideas about government emerged about three hundred years ago, in a post-revolutionary world, when a desire for freedom from tyranny went hand in hand with a desire for stability.


pages: 212 words: 69,846

The Nation City: Why Mayors Are Now Running the World by Rahm Emanuel

Affordable Care Act / Obamacare, Airbnb, Big Tech, bike sharing, blockchain, carbon footprint, clean water, data science, deindustrialization, disinformation, Donald Trump, Edward Glaeser, Enrique Peñalosa, Filter Bubble, food desert, gentrification, high-speed rail, income inequality, informal economy, Jane Jacobs, Kickstarter, Lyft, megacity, military-industrial complex, new economy, New Urbanism, offshore financial centre, opioid epidemic / opioid crisis, payday loans, ride hailing / ride sharing, Ronald Reagan, Salesforce, San Francisco homelessness, Silicon Valley, The Death and Life of Great American Cities, the High Line, transcontinental railway, Uber and Lyft, uber lyft, urban planning, War on Poverty, white flight, working poor

We also found some money in a federal program called Congestion Mitigation and Air Quality Improvement. We had a start, but we needed more. So I put on my dancing shoes and went down to Springfield. I cajoled our state to change TIF regulations so we could apply TIFs to transportation. We also levied a first-ever fee on the ride-sharing companies Uber and Lyft, which raised $16 million in its first year (2017). We used that money to raise $180 million in bonds to be used for capital improvement. We did this—the biggest modernization of our transit system in the city’s history—without raising our tax rates or fare increases, and without a new federal transportation bill.

The idea is to help the students cope with such feelings as frustration and to “think about their thinking.” This is vitally important: Much of the violence we see in our cities is impulsive, an overreaction to provocation. I loved the program from the beginning, and I did much to enhance and boost its reach. We funded some of it from a $10.4 million settlement we received after we sued Uber and Lyft for inadequate background checks on their drivers. This idea was hatched at the University of Chicago Crime Lab. We started to scale it up, and it now reaches 7,000 young men and is being copied by other cities, such as Boston. The goal is to reach all young men in crime-ridden neighborhoods by ensuring they are in a mentoring program from seventh to eleventh grades.


pages: 234 words: 67,589

Internet for the People: The Fight for Our Digital Future by Ben Tarnoff

4chan, A Declaration of the Independence of Cyberspace, accounting loophole / creative accounting, Alan Greenspan, Alan Turing: On Computable Numbers, with an Application to the Entscheidungsproblem, algorithmic management, AltaVista, Amazon Web Services, barriers to entry, Bernie Sanders, Big Tech, Black Lives Matter, blue-collar work, business logic, call centre, Charles Babbage, cloud computing, computer vision, coronavirus, COVID-19, decentralized internet, deep learning, defund the police, deindustrialization, desegregation, digital divide, disinformation, Edward Snowden, electricity market, fake news, Filter Bubble, financial intermediation, future of work, gamification, General Magic , gig economy, God and Mammon, green new deal, independent contractor, information asymmetry, Internet of things, Jeff Bezos, Jessica Bruder, John Markoff, John Perry Barlow, Kevin Roose, Kickstarter, Leo Hollis, lockdown, lone genius, low interest rates, Lyft, Mark Zuckerberg, means of production, Menlo Park, natural language processing, Network effects, Nicholas Carr, packet switching, PageRank, pattern recognition, pets.com, profit maximization, profit motive, QAnon, recommendation engine, rent-seeking, ride hailing / ride sharing, Sheryl Sandberg, Shoshana Zuboff, side project, Silicon Valley, single-payer health, smart grid, social distancing, Steven Levy, stock buybacks, supply-chain management, surveillance capitalism, techlash, Telecommunications Act of 1996, TikTok, transportation-network company, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, undersea cable, UUNET, vertical integration, Victor Gruen, web application, working poor, Yochai Benkler

Gray and Siddharth Suri, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass (Boston: Houghton Mifflin, 2019). 119, Uber is one of the main … Singularly unprofitable: In September 2021, Uber said that it could post its first profit on an adjusted basis in Q3 2021, following a similar announcement by Lyft in the previous quarter. These announcements have more to do with creative accounting than with the health of the underlying businesses, however: the adjusted basis, known as “adjusted EBITDA,” excludes many kinds of losses and expenses. As the journalist Preetika Rana notes, “Uber and Lyft have yet to turn a net profit on the strength of their operations and haven’t projected when they might.” See Preetika Rana, “Uber Says First Adjusted Profit Possible this Quarter,” Wall Street Journal, September 21, 2021, and Tom McKay, “Uber Says It’s on Track to Maybe Make a Fake Profit,” Gizmodo, September 21, 2021. 120, This was a popular strategy … “The result is …”: Srnicek, Platform Capitalism, 30.

For example, Sama, a company that recruits data-annotation workers from the slums of the Global South, presents its business in humanitarian terms; see Mueller, Breaking Things at Work, 118–19. The advertising materials in the campaign for Proposition 22 struck a similar note, promoting the narrative that gig companies offer economic opportunities to Black and Latino workers; see Levi Sumagaysay, “Race Has Played a Large Role in Uber and Lyft’s Fight to Preserve Their Business Models,” MarketWatch, October 19, 2020. 133, On a spring morning … Noble, Algorithms of Oppression, 17. 134, In the 1990s, the idea … Television commercials: Lisa Nakamura, Cybertypes: Race, Ethnicity, and Identity on the Internet (New York: Routledge, 2002), 87–99.


pages: 242 words: 73,728

Give People Money by Annie Lowrey

Abraham Maslow, affirmative action, Affordable Care Act / Obamacare, agricultural Revolution, Airbnb, airport security, autonomous vehicles, barriers to entry, basic income, Bernie Sanders, bitcoin, Black Lives Matter, carbon tax, clean water, collective bargaining, computer age, crowdsourcing, cryptocurrency, deindustrialization, desegregation, Donald Trump, driverless car, Edward Glaeser, Elon Musk, ending welfare as we know it, everywhere but in the productivity statistics, full employment, gender pay gap, gentrification, gig economy, Google Earth, Home mortgage interest deduction, income inequality, indoor plumbing, information asymmetry, Jaron Lanier, jitney, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Kickstarter, Kodak vs Instagram, labor-force participation, late capitalism, Lyft, M-Pesa, Mahatma Gandhi, Mark Zuckerberg, mass incarceration, McMansion, Menlo Park, mobile money, Modern Monetary Theory, mortgage tax deduction, multilevel marketing, new economy, obamacare, opioid epidemic / opioid crisis, Overton Window, Peter Thiel, post scarcity, post-work, Potemkin village, precariat, public intellectual, randomized controlled trial, ride hailing / ride sharing, Robert Bork, Robert Solow, Ronald Reagan, Rutger Bregman, Sam Altman, self-driving car, Silicon Valley, single-payer health, Steve Jobs, TaskRabbit, tech billionaire, The future is already here, The Future of Employment, theory of mind, total factor productivity, Turing test, two tier labour market, Uber and Lyft, uber lyft, universal basic income, uranium enrichment, War on Poverty, warehouse robotics, Watson beat the top human players on Jeopardy!, We wanted flying cars, instead we got 140 characters, women in the workforce, working poor, World Values Survey, Y Combinator

The drivers explained how and why in vivid detail. “There were more and more people jumping on to Lyft and Uber, especially Uber, and then at one point, Uber was doing this special thing to try and get more passengers, where they did a discount or they took out the service charge for passengers,” Heather Smith, an Uber and Lyft driver, told me. (I agreed to withhold her real last name, to avoid retaliation by her employers.) “When I would look at my breakdown of payment, I was basically seeing them pay themselves and then take half the service charge and then pay me. I said, ‘Fuck it. Good-bye, Uber.’ ” She told me that she did make decent money mentoring new drivers for Lyft.

On-demand, gig-economy firms usually do not hire their drivers or shoppers or delivery workers, instead classifying them as contractors and buying their services. That means that the companies are not subject to minimum-wage rules. They do not need to divert their workers’ paychecks into unemployment-insurance funds or Social Security. They are not required to offer health care to workers who spend full-time hours on the clock. Many Uber and Lyft drivers feel the companies had misled them, promising, if not employment in a traditional sense, a stake in something. “When you sign up, they refer to you as a partner,” Seth McGrath, a forty-year-old Uber driver, chimed in, as everyone around the table nodded. “Which is so not true. They keep you at arm’s length, right?


pages: 460 words: 130,820

The Cult of We: WeWork, Adam Neumann, and the Great Startup Delusion by Eliot Brown, Maureen Farrell

"World Economic Forum" Davos, activist fund / activist shareholder / activist investor, Adam Neumann (WeWork), Airbnb, AOL-Time Warner, asset light, Bear Stearns, Bernie Madoff, Burning Man, business logic, cloud computing, coronavirus, corporate governance, COVID-19, Didi Chuxing, do what you love, don't be evil, Donald Trump, driverless car, East Village, Elon Musk, financial engineering, Ford Model T, future of work, gender pay gap, global pandemic, global supply chain, Google Earth, Gordon Gekko, greed is good, Greensill Capital, hockey-stick growth, housing crisis, index fund, Internet Archive, Internet of things, Jeff Bezos, John Zimmer (Lyft cofounder), Larry Ellison, low interest rates, Lyft, Marc Benioff, Mark Zuckerberg, Masayoshi Son, Maui Hawaii, Network effects, new economy, PalmPilot, Peter Thiel, pets.com, plant based meat, post-oil, railway mania, ride hailing / ride sharing, Robinhood: mobile stock trading app, rolodex, Salesforce, San Francisco homelessness, Sand Hill Road, self-driving car, sharing economy, Sheryl Sandberg, side hustle, side project, Silicon Valley, Silicon Valley startup, smart cities, Snapchat, SoftBank, software as a service, sovereign wealth fund, starchitect, Steve Jobs, subprime mortgage crisis, super pumped, supply chain finance, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, vertical integration, Vision Fund, WeWork, women in the workforce, work culture , Y Combinator, Zenefits, Zipcar

By 2016, Uber was already seven years old, with no defined plans on when to go public. WeWork was six. Airbnb was eight. Staying private meant an easier life for a founder—without the scrutiny one faced from the press and investors over quarterly earnings reports. The lack of scrutiny let problems fester inside these companies. Companies like Uber and Lyft got used to losing money without much concern from their investors. The entire culture of many of these startups was based on revenue growth, not on curtailing excessive spending. It was a formula that worked so long as the CEOs could persuade big investors in one-on-one meetings to keep giving them more money at higher valuations.

WeWork lost more than $3,000 every minute in 2018. This was a particularly striking amount of money to lose, given that in 2000 Mark Dixon’s serviced office company, Regus, which essentially had the same business model and a similarly torrid growth rate, nearly broke even, reporting a tiny loss of less than $6 million. Even Uber and Lyft—known for their extremely heavy losses—were at least curtailing their losses as they grew. WeWork’s losses simply grew with the company, quarter after quarter. Waste was everywhere. You could reach out and touch it. Take the bright pieces of modern lounge furniture that adorned WeWork’s lobbies, key to the company’s image.

Just as he had been doing with the banks, Neumann pushed the decision to the last possible moment. * * * — As WeWork staff jousted over photos and verbiage that summer, the winds in the market were changing, and not for the better. For much of the decade, Silicon Valley had been hypnotized by the “growth at all costs” approach—believing that companies like WeWork, Uber, and Lyft could spend whatever they wanted, so long as revenue kept soaring. Driving it all was an assumption that public market stock investors were so starving for fast-growing companies that they wouldn’t care about losses; they would value these companies even higher than SoftBank and other private market investors.


pages: 305 words: 79,303

The Four: How Amazon, Apple, Facebook, and Google Divided and Conquered the World by Scott Galloway

"Susan Fowler" uber, activist fund / activist shareholder / activist investor, additive manufacturing, Affordable Care Act / Obamacare, Airbnb, Amazon Robotics, Amazon Web Services, Apple II, autonomous vehicles, barriers to entry, Ben Horowitz, Bernie Sanders, Big Tech, big-box store, Bob Noyce, Brewster Kahle, business intelligence, California gold rush, Cambridge Analytica, cloud computing, Comet Ping Pong, commoditize, cuban missile crisis, David Brooks, Didi Chuxing, digital divide, disintermediation, don't be evil, Donald Trump, Elon Musk, fake news, follow your passion, fulfillment center, future of journalism, future of work, global supply chain, Google Earth, Google Glasses, Google X / Alphabet X, Hacker Conference 1984, Internet Archive, invisible hand, Jeff Bezos, Jony Ive, Khan Academy, Kiva Systems, longitudinal study, Lyft, Mark Zuckerberg, meta-analysis, Network effects, new economy, obamacare, Oculus Rift, offshore financial centre, passive income, Peter Thiel, profit motive, race to the bottom, RAND corporation, ride hailing / ride sharing, risk tolerance, Robert Mercer, Robert Shiller, Search for Extraterrestrial Intelligence, self-driving car, sentiment analysis, shareholder value, Sheryl Sandberg, Silicon Valley, Snapchat, software is eating the world, speech recognition, Stephen Hawking, Steve Ballmer, Steve Bannon, Steve Jobs, Steve Wozniak, Stewart Brand, supercomputer in your pocket, Tesla Model S, the long tail, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, undersea cable, vertical integration, warehouse automation, warehouse robotics, Wayback Machine, Whole Earth Catalog, winner-take-all economy, working poor, you are the product, young professional

March 15, 2015. http://www.businessinsider.com/uber-offering-50000-jobs-per-month-to-drivers-2015-3. 22. Uber Estimate. http://uberestimator.com/cities. 23. Nelson, Laura J. “Uber and Lyft have devastated L.A.’s taxi industry, city records show.” Los Angeles Times. April 14, 2016. http://www.latimes.com/local/lanow/la-me-ln-uber-lyft-taxis-la-20160413-story.html. 24. Schneider, Todd W. “Taxi, Uber, and Lyft Usage in New York City.” February 2017. http://toddwschneider.com/posts/taxi-uber-lyft-usage-new-york-city/. 25. “Scott Galloway: Switch to Nintendo.” 26. Deamicis, Carmel.


pages: 252 words: 78,780

Lab Rats: How Silicon Valley Made Work Miserable for the Rest of Us by Dan Lyons

"Friedman doctrine" OR "shareholder theory", "Susan Fowler" uber, "World Economic Forum" Davos, Airbnb, Amazon Robotics, Amazon Web Services, antiwork, Apple II, augmented reality, autonomous vehicles, basic income, Big Tech, bitcoin, blockchain, Blue Ocean Strategy, business process, call centre, Cambridge Analytica, Clayton Christensen, clean water, collective bargaining, corporate governance, corporate social responsibility, creative destruction, cryptocurrency, data science, David Heinemeier Hansson, digital rights, Donald Trump, Elon Musk, Ethereum, ethereum blockchain, fake news, full employment, future of work, gig economy, Gordon Gekko, greed is good, Hacker News, hiring and firing, holacracy, housing crisis, impact investing, income inequality, informal economy, initial coin offering, Jeff Bezos, job automation, job satisfaction, job-hopping, John Gruber, John Perry Barlow, Joseph Schumpeter, junk bonds, Kanban, Kevin Kelly, knowledge worker, Larry Ellison, Lean Startup, loose coupling, Lyft, Marc Andreessen, Mark Zuckerberg, McMansion, Menlo Park, Milgram experiment, minimum viable product, Mitch Kapor, move fast and break things, new economy, Panopticon Jeremy Bentham, Parker Conrad, Paul Graham, paypal mafia, Peter Thiel, plutocrats, precariat, prosperity theology / prosperity gospel / gospel of success, public intellectual, RAND corporation, remote working, RFID, ride hailing / ride sharing, Ronald Reagan, Rubik’s Cube, Ruby on Rails, Sam Altman, San Francisco homelessness, Sand Hill Road, scientific management, self-driving car, shareholder value, Sheryl Sandberg, Silicon Valley, Silicon Valley startup, six sigma, Skinner box, Skype, Social Responsibility of Business Is to Increase Its Profits, SoftBank, software is eating the world, Stanford prison experiment, stem cell, Steve Jobs, Steve Wozniak, Stewart Brand, stock buybacks, super pumped, TaskRabbit, tech bro, tech worker, TechCrunch disrupt, TED Talk, telemarketer, Tesla Model S, Thomas Davenport, Tony Hsieh, Toyota Production System, traveling salesman, Travis Kalanick, tulip mania, Uber and Lyft, Uber for X, uber lyft, universal basic income, web application, WeWork, Whole Earth Catalog, work culture , workplace surveillance , Y Combinator, young professional, Zenefits

A few hours earlier Schifter had posted a long essay on Facebook explaining his reasons. He said that he had once made a good living driving a limo in New York, earning enough to buy a house outside the city, in the Poconos. But then came the onslaught of new drivers working for services like Uber and Lyft, and rates plummeted for everyone, so low that nobody could make a living as a driver anymore. Schifter was putting in seventeen-hour days, sometimes earning as little as $4 an hour. He fell into debt. He missed a mortgage payment and was in danger of losing his home. “I have been financially ruined,” he wrote.

“I will not be a slave working for chump change. I would rather be dead.” Silicon Valley promotes the gig economy as an innovative new industry that is creating jobs for millions of people. But the jobs being created are mostly bad ones. Meanwhile, gig-economy companies threaten established industries. Airbnb steals business from hotels. Uber and Lyft have hurt business at car-rental companies like Hertz and Avis, and have utterly decimated the taxi and livery business. Pundits like to talk about “creative destruction” as if it were an abstract concept, but the sight of a driver parked in front of City Hall with his head blown off served as a reminder that all this change and so-called progress is coming at a very high cost to actual human beings.


pages: 251 words: 80,831

Super Founders: What Data Reveals About Billion-Dollar Startups by Ali Tamaseb

"World Economic Forum" Davos, 23andMe, additive manufacturing, Affordable Care Act / Obamacare, Airbnb, Anne Wojcicki, asset light, barriers to entry, Ben Horowitz, Benchmark Capital, bitcoin, business intelligence, buy and hold, Chris Wanstrath, clean water, cloud computing, coronavirus, corporate governance, correlation does not imply causation, COVID-19, cryptocurrency, data science, discounted cash flows, diversified portfolio, Elon Musk, Fairchild Semiconductor, game design, General Magic , gig economy, high net worth, hiring and firing, index fund, Internet Archive, Jeff Bezos, John Zimmer (Lyft cofounder), Kickstarter, late fees, lockdown, Lyft, Marc Andreessen, Marc Benioff, Mark Zuckerberg, Max Levchin, Mitch Kapor, natural language processing, Network effects, nuclear winter, PageRank, PalmPilot, Parker Conrad, Paul Buchheit, Paul Graham, peer-to-peer lending, Peter Thiel, Planet Labs, power law, QR code, Recombinant DNA, remote working, ride hailing / ride sharing, robotic process automation, rolodex, Ruby on Rails, Salesforce, Sam Altman, Sand Hill Road, self-driving car, shareholder value, sharing economy, side hustle, side project, Silicon Valley, Silicon Valley startup, Skype, Snapchat, SoftBank, software as a service, software is eating the world, sovereign wealth fund, Startup school, Steve Jobs, Steve Wozniak, survivorship bias, TaskRabbit, telepresence, the payments system, TikTok, Tony Fadell, Tony Hsieh, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, ubercab, web application, WeWork, work culture , Y Combinator

“They’re just not internet-native companies. They’re having to adapt these legacy systems to the modern age.” Without the burden of outdated software and processes, Flexport’s end-to-end solution will continue to move the freight-forwarding industry, well, forward. COMPETING AGAINST A HIGHLY FUNDED STARTUP As mentioned, Uber and Lyft provide a much less common example of two highly funded startups finding success in the same space. But neither company started out in the ride-hailing space as we know it today, and two other companies helped shape their story: Zimride and Sidecar. The first company on the scene was Zimride, which began offering ridesharing between cities in 2007.

When Lyft and Sidecar became popular, Uber realized the larger opportunity afforded by the gig economy, transitioned from the luxury service to the affordable service, and launched UberX. Sidecar faced multiple problems. Sidecar’s drivers could set their own price, and riders could choose the driver, which created too much complexity. Most importantly, they couldn’t raise as much capital as Uber and Lyft did. “We were unable to compete against Uber, a company that raised more capital than any other in history and is infamous for its anti-competitive behavior,” said Sidecar’s CEO, Sunil Paul. “The legacy of Sidecar is that we out-innovated Uber but still failed to win the market. We failed—for the most part—because Uber is willing to win at any cost and they have practically limitless capital to do it.”6 Sidecar shut down operations on New Year’s Eve in 2015, and General Motors acquired its remaining assets and intellectual property.


pages: 288 words: 86,995

Rule of the Robots: How Artificial Intelligence Will Transform Everything by Martin Ford

AI winter, Airbnb, algorithmic bias, algorithmic trading, Alignment Problem, AlphaGo, Amazon Mechanical Turk, Amazon Web Services, artificial general intelligence, Automated Insights, autonomous vehicles, backpropagation, basic income, Big Tech, big-box store, call centre, carbon footprint, Chris Urmson, Claude Shannon: information theory, clean water, cloud computing, commoditize, computer age, computer vision, Computing Machinery and Intelligence, coronavirus, correlation does not imply causation, COVID-19, crowdsourcing, data is the new oil, data science, deep learning, deepfake, DeepMind, Demis Hassabis, deskilling, disruptive innovation, Donald Trump, Elon Musk, factory automation, fake news, fulfillment center, full employment, future of work, general purpose technology, Geoffrey Hinton, George Floyd, gig economy, Gini coefficient, global pandemic, Googley, GPT-3, high-speed rail, hype cycle, ImageNet competition, income inequality, independent contractor, industrial robot, informal economy, information retrieval, Intergovernmental Panel on Climate Change (IPCC), Internet of things, Jeff Bezos, job automation, John Markoff, Kiva Systems, knowledge worker, labor-force participation, Law of Accelerating Returns, license plate recognition, low interest rates, low-wage service sector, Lyft, machine readable, machine translation, Mark Zuckerberg, Mitch Kapor, natural language processing, Nick Bostrom, Northpointe / Correctional Offender Management Profiling for Alternative Sanctions, Ocado, OpenAI, opioid epidemic / opioid crisis, passive income, pattern recognition, Peter Thiel, Phillips curve, post scarcity, public intellectual, Ray Kurzweil, recommendation engine, remote working, RFID, ride hailing / ride sharing, Robert Gordon, Rodney Brooks, Rubik’s Cube, Sam Altman, self-driving car, Silicon Valley, Silicon Valley startup, social distancing, SoftBank, South of Market, San Francisco, special economic zone, speech recognition, stealth mode startup, Stephen Hawking, superintelligent machines, TED Talk, The Future of Employment, The Rise and Fall of American Growth, the scientific method, Turing machine, Turing test, Tyler Cowen, Tyler Cowen: Great Stagnation, Uber and Lyft, uber lyft, universal basic income, very high income, warehouse automation, warehouse robotics, Watson beat the top human players on Jeopardy!, WikiLeaks, women in the workforce, Y Combinator

This is the primary reason that Uber views autonomous vehicle companies, particularly Waymo, as existential threats and chose to invest heavily in a self-driving program of its own beginning in 2016. The problem with the assumption that self-driving technology will ride to their rescue is that Uber and Lyft are viewed as attractive internet-based businesses—and valued accordingly—because they act primarily as digital intermediaries, harvesting a slice of every transaction in return for providing software that automatically matches riders with drivers. This allows the companies to completely avoid the risky and unpleasant parts of the taxi business: stuff like owning, financing, maintaining and insuring vehicles.

At the 2019 Autonomy Day event, Musk described a scheme in which Tesla owners would be able to have their cars participate in a robotaxi service run by the company. Tesla would get a cut of the ride-sharing fee in the same way that Apple generates revenue from its App Store. One interesting thing about this proposal is that it solves the ownership and maintenance problem that might eventually plague companies like Uber and Lyft. Tesla may have found a way to step into the role of a pure internet intermediary, while avoiding the need to own a fleet of cars. Most Tesla owners might not want to share their vehicles with strangers, but if the plan proves viable, many customers would presumably buy Tesla’s vehicles as a business investment, rather than as personal cars.


pages: 366 words: 94,209

Throwing Rocks at the Google Bus: How Growth Became the Enemy of Prosperity by Douglas Rushkoff

activist fund / activist shareholder / activist investor, Airbnb, Alan Greenspan, algorithmic trading, Amazon Mechanical Turk, Andrew Keen, bank run, banking crisis, barriers to entry, benefit corporation, bitcoin, blockchain, Burning Man, business process, buy and hold, buy low sell high, California gold rush, Capital in the Twenty-First Century by Thomas Piketty, carbon footprint, centralized clearinghouse, citizen journalism, clean water, cloud computing, collaborative economy, collective bargaining, colonial exploitation, Community Supported Agriculture, corporate personhood, corporate raider, creative destruction, crowdsourcing, cryptocurrency, data science, deep learning, disintermediation, diversified portfolio, Dutch auction, Elon Musk, Erik Brynjolfsson, Ethereum, ethereum blockchain, fiat currency, Firefox, Flash crash, full employment, future of work, gamification, Garrett Hardin, gentrification, gig economy, Gini coefficient, global supply chain, global village, Google bus, Howard Rheingold, IBM and the Holocaust, impulse control, income inequality, independent contractor, index fund, iterative process, Jaron Lanier, Jeff Bezos, jimmy wales, job automation, Joseph Schumpeter, Kickstarter, Large Hadron Collider, loss aversion, low interest rates, Lyft, Marc Andreessen, Mark Zuckerberg, market bubble, market fundamentalism, Marshall McLuhan, means of production, medical bankruptcy, minimum viable product, Mitch Kapor, Naomi Klein, Network effects, new economy, Norbert Wiener, Oculus Rift, passive investing, payday loans, peer-to-peer lending, Peter Thiel, post-industrial society, power law, profit motive, quantitative easing, race to the bottom, recommendation engine, reserve currency, RFID, Richard Stallman, ride hailing / ride sharing, Ronald Reagan, Russell Brand, Satoshi Nakamoto, Second Machine Age, shareholder value, sharing economy, Silicon Valley, Snapchat, social graph, software patent, Steve Jobs, stock buybacks, TaskRabbit, the Cathedral and the Bazaar, The Future of Employment, the long tail, trade route, Tragedy of the Commons, transportation-network company, Turing test, Uber and Lyft, Uber for X, uber lyft, unpaid internship, Vitalik Buterin, warehouse robotics, Wayback Machine, Y Combinator, young professional, zero-sum game, Zipcar

That’s the problem with any of the many new ways we have of earning income through previously off-the-books activities. On the one hand, they create thrilling new forms of peer-to-peer commerce. eBay lets us sell our attic junk. Web site Airbnb lets us rent out our extra bedrooms to travelers. Smartphone apps Uber and Lyft let us use our vehicles to give people rides, for money. Unlike many of the other platforms we’ve looked at so far, these opportunities don’t lead to power-law distributions, because a car or home can be hired only by one person at a time. As long as you’re listed on the network and have decent reviews, you should do as well as anyone else.

Their ads show people sharing an extra bedroom and a place at the family table, but the statistics reveal that the vast majority (87 percent) of hosts leave their homes in order to rent them.37 Homes become amateur hotels, as the original residents try to live off the arbitrage between the rent they pay, the rent they earn, and the cost of living somewhere other than home. Even if you are having trouble finding work in the digital economy, you no longer have an excuse for being entirely off the books. Just don’t let the landlord find out what you’re doing. Likewise, the amateur taxi networks of Uber and Lyft are great ways for otherwise “underemployed” vehicle owners to make a few extra bucks. There’s no reason now to leave a worthwhile asset or hour off the books—even if the underemployed are really underpaid freelancers working a whole lot of hours already. These apps are not about sharing space in a vehicle—like driving a friend to the train station—they’re about monetizing unemployed people’s time and stuff.


pages: 328 words: 90,677

Ludicrous: The Unvarnished Story of Tesla Motors by Edward Niedermeyer

autonomous vehicles, barriers to entry, Bear Stearns, bitcoin, business climate, call centre, carbon footprint, Clayton Christensen, clean tech, Colonization of Mars, computer vision, crowdsourcing, disruptive innovation, Donald Trump, driverless car, Elon Musk, en.wikipedia.org, facts on the ground, fake it until you make it, family office, financial engineering, Ford Model T, gigafactory, global supply chain, Google Earth, housing crisis, hype cycle, Hyperloop, junk bonds, Kaizen: continuous improvement, Kanban, Kickstarter, Lyft, Marc Andreessen, Menlo Park, minimum viable product, new economy, off grid, off-the-grid, OpenAI, Paul Graham, peak oil, performance metric, Ponzi scheme, ride hailing / ride sharing, risk tolerance, Sand Hill Road, self-driving car, short selling, short squeeze, side project, Silicon Valley, Silicon Valley startup, Skype, smart cities, Solyndra, stealth mode startup, Steve Jobs, Steve Jurvetson, tail risk, technoutopianism, Tesla Model S, too big to fail, Toyota Production System, Uber and Lyft, uber lyft, union organizing, vertical integration, WeWork, work culture , Zipcar

In effect, Musk was arguing that Teslas were about half a decade away from becoming economic perpetual-motion machines. As long as you could qualify for a loan of $35,000 or more, you could own an asset that could not only pay for itself, but possibly even earn its owner a net profit. Though Tesla owners would be forbidden from renting out their autonomous vehicles using Uber and Lyft, a “Tesla Network” would facilitate these private robotaxis, and Tesla would even provide its own fleet in localities where demand exceeded supply. Having pivoted from electric drive to autonomy, Musk was now following his Silicon Valley peers into the promised land of shared autonomy. But because Tesla was a traditional car company built on private ownership, it couldn’t simply shift overnight from sleek, expensive, powerful status-endowing cars to the anonymous shared mobility pods that Google and others in the space envisioned.

Meanwhile Tesla’s struggles with the traditional auto industry competencies of manufacturing and service, as well as the low market valuation of every other automaker, meant Tesla’s all-important valuation was more dependent on autonomous-drive technology than ever. If you believed Tesla’s promise, it was not only the sole automaker offering the hottest option on a new car, but it was also a potential disruptor of the hottest companies in the mobility technology space: Uber and Lyft. If you didn’t, the brazenness of Tesla’s ploy to collect money for a feature it couldn’t possibly deliver on raised huge questions about what else the company was bluffing about and what it was really worth . . . and once you started down that line of questioning, there seemed to be no end to it.


pages: 282 words: 93,783

The Future Is Analog: How to Create a More Human World by David Sax

Alvin Toffler, augmented reality, autonomous vehicles, Bernie Sanders, big-box store, bike sharing, Black Lives Matter, blockchain, bread and circuses, Buckminster Fuller, Cal Newport, call centre, clean water, cognitive load, commoditize, contact tracing, contact tracing app, COVID-19, crowdsourcing, cryptocurrency, data science, David Brooks, deep learning, digital capitalism, Donald Trump, driverless car, Elon Musk, fiat currency, Francis Fukuyama: the end of history, future of work, gentrification, George Floyd, indoor plumbing, informal economy, Jane Jacobs, Jaron Lanier, Jeff Bezos, Kickstarter, knowledge worker, lockdown, Lyft, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, Minecraft, New Urbanism, nuclear winter, opioid epidemic / opioid crisis, Peter Thiel, RAND corporation, Ray Kurzweil, remote working, retail therapy, RFID, Richard Florida, ride hailing / ride sharing, Saturday Night Live, Shoshana Zuboff, side hustle, Sidewalk Labs, Silicon Valley, Silicon Valley startup, Skype, smart cities, social distancing, sovereign wealth fund, Steve Jobs, Superbowl ad, supply-chain management, surveillance capitalism, tech worker, technological singularity, technoutopianism, TED Talk, The Death and Life of Great American Cities, TikTok, Uber and Lyft, uber lyft, unemployed young men, urban planning, walkable city, Y2K, zero-sum game

Fleets of self-driving electric vehicles were presented as the solution to so many of a city’s problems—public transit and trash collection, carbon emissions, congestion and accidents—and these would be supplemented by other digitally enabled vehicles, like the electronic scooters that already littered the sidewalks of cities around the world. Rather than replacing cars, many smart city plans proposed harnessing their true potential. By 2018 many cities were cutting deals with companies like Uber and Lyft to weave private ride sharing into their transit systems, based on the widely accepted promise that rideshares easily reduced congestion, emissions, and the other drawbacks of private car ownership, and paying them would be cheaper than investing in expanded bus service or building costly subway lines.

But if you lived in an actual city, like San Francisco, it did not. “Driverless cars and electric cars are still fucking cars!! They’re cars!!!” fumed Roberta Gratz, when we spoke about Sidewalk Toronto’s plans. “They’re not going to eliminate traffic; they’re going to increase traffic.” Studies already showed that this had happened with Uber and Lyft and other ride-sharing companies worldwide: all those drivers, cruising around in their empty cars, waiting for the next ping of a pickup (an activity known as deadheading), actually added more pollution and congestion to cities, even compared to privately owned cars. Ride sharing’s digital future just put more cars on the road, and from what I saw every day, their drivers already drove like idiotic robots.


pages: 463 words: 105,197

Radical Markets: Uprooting Capitalism and Democracy for a Just Society by Eric Posner, E. Weyl

3D printing, activist fund / activist shareholder / activist investor, Affordable Care Act / Obamacare, Airbnb, Amazon Mechanical Turk, anti-communist, augmented reality, basic income, Berlin Wall, Bernie Sanders, Big Tech, Branko Milanovic, business process, buy and hold, carbon footprint, Cass Sunstein, Clayton Christensen, cloud computing, collective bargaining, commoditize, congestion pricing, Corn Laws, corporate governance, crowdsourcing, cryptocurrency, data science, deep learning, DeepMind, Donald Trump, Elon Musk, endowment effect, Erik Brynjolfsson, Ethereum, feminist movement, financial deregulation, Francis Fukuyama: the end of history, full employment, gamification, Garrett Hardin, George Akerlof, global macro, global supply chain, guest worker program, hydraulic fracturing, Hyperloop, illegal immigration, immigration reform, income inequality, income per capita, index fund, informal economy, information asymmetry, invisible hand, Jane Jacobs, Jaron Lanier, Jean Tirole, Jeremy Corbyn, Joseph Schumpeter, Kenneth Arrow, labor-force participation, laissez-faire capitalism, Landlord’s Game, liberal capitalism, low skilled workers, Lyft, market bubble, market design, market friction, market fundamentalism, mass immigration, negative equity, Network effects, obamacare, offshore financial centre, open borders, Pareto efficiency, passive investing, patent troll, Paul Samuelson, performance metric, plutocrats, pre–internet, radical decentralization, random walk, randomized controlled trial, Ray Kurzweil, recommendation engine, rent-seeking, Richard Thaler, ride hailing / ride sharing, risk tolerance, road to serfdom, Robert Shiller, Ronald Coase, Rory Sutherland, search costs, Second Machine Age, second-price auction, self-driving car, shareholder value, sharing economy, Silicon Valley, Skype, special economic zone, spectrum auction, speech recognition, statistical model, stem cell, telepresence, Thales and the olive presses, Thales of Miletus, The Death and Life of Great American Cities, The Future of Employment, The Market for Lemons, The Nature of the Firm, The Rise and Fall of American Growth, The Theory of the Leisure Class by Thorstein Veblen, The Wealth of Nations by Adam Smith, Thorstein Veblen, trade route, Tragedy of the Commons, transaction costs, trickle-down economics, Tyler Cowen, Uber and Lyft, uber lyft, universal basic income, urban planning, Vanguard fund, vertical integration, women in the workforce, Zipcar

Facebook, Google, and Bing use a system derived from Vickrey’s auction to allocate advertising space on their web pages. Vickrey’s insights about urban planning and congestion pricing are slowly changing the face of cities, and they play an important role in the pricing policies of ride-hailing apps like Uber and Lyft.2 However, none of these applications reflects the ambition that sparked Vickrey’s work. When Vickrey won the Nobel Prize, he reportedly hoped to use the award as a “bully pulpit” to bring George’s transformative ideas and the radical potential of mechanism design to a broader audience.3 Yet Vickrey died of a heart attack three days after learning of his prize.

In the coming years, experiments with QV will offer a proving ground for the practical utility of QV. RATING AND SOCIAL AGGREGATION Rating and social aggregation systems fuel today’s digital economy. Reputation systems are the crucial trust mechanisms that allow “sharing economy” services like Airbnb, VRBO, Uber, and Lyft to win consumer acceptance and give providers the confidence to adopt the system.46 They play a core role in the popular search services offered by Amazon, Google, Apple’s app store, and Yelp. Yet a growing body of evidence suggests these systems are badly broken. As noted above, almost all reviews cluster toward five stars, and a few at one star, making the resulting feedback biased and what statisticians call “noisy,” that is, not very accurate.47 Other online platforms, such as Facebook, Reddit, Twitter, and Instagram, gather limited information because they only allow “likes,” and other limited forms of response, rather than allowing participants to exhibit exceptional enthusiasm, or distaste, for particular content.


pages: 393 words: 91,257

The Coming of Neo-Feudalism: A Warning to the Global Middle Class by Joel Kotkin

"RICO laws" OR "Racketeer Influenced and Corrupt Organizations", "World Economic Forum" Davos, Admiral Zheng, Alvin Toffler, Andy Kessler, autonomous vehicles, basic income, Bernie Sanders, Big Tech, bread and circuses, Brexit referendum, call centre, Capital in the Twenty-First Century by Thomas Piketty, carbon credits, carbon footprint, Cass Sunstein, clean water, company town, content marketing, Cornelius Vanderbilt, creative destruction, data science, deindustrialization, demographic transition, deplatforming, don't be evil, Donald Trump, driverless car, edge city, Elon Musk, European colonialism, Evgeny Morozov, financial independence, Francis Fukuyama: the end of history, Future Shock, gentrification, gig economy, Gini coefficient, Google bus, Great Leap Forward, green new deal, guest worker program, Hans Rosling, Herbert Marcuse, housing crisis, income inequality, informal economy, Jane Jacobs, Jaron Lanier, Jeff Bezos, Jeremy Corbyn, job automation, job polarisation, job satisfaction, Joseph Schumpeter, land reform, liberal capitalism, life extension, low skilled workers, Lyft, Marc Benioff, Mark Zuckerberg, market fundamentalism, Martin Wolf, mass immigration, megacity, Michael Shellenberger, Nate Silver, new economy, New Urbanism, Northpointe / Correctional Offender Management Profiling for Alternative Sanctions, Occupy movement, Parag Khanna, Peter Thiel, plutocrats, post-industrial society, post-work, postindustrial economy, postnationalism / post nation state, precariat, profit motive, public intellectual, RAND corporation, Ray Kurzweil, rent control, Richard Florida, road to serfdom, Robert Gordon, Salesforce, Sam Altman, San Francisco homelessness, Satyajit Das, sharing economy, Sidewalk Labs, Silicon Valley, smart cities, Social Justice Warrior, Steve Jobs, Stewart Brand, superstar cities, technological determinism, Ted Nordhaus, The Death and Life of Great American Cities, The future is already here, The Future of Employment, The Rise and Fall of American Growth, Thomas L Friedman, too big to fail, trade route, Travis Kalanick, Uber and Lyft, uber lyft, universal basic income, unpaid internship, upwardly mobile, Virgin Galactic, We are the 99%, Wolfgang Streeck, women in the workforce, work culture , working-age population, Y Combinator

The instability in employment is widely seen as one reason for the country’s ultra-low birth rate.15 Many of today’s “precariat” work in the contingent “gig” economy, associated with firms such as Uber and Lyft. These companies and their progressive allies, including David Plouffe (who managed Barack Obama’s presidential campaign in 2008), like to speak of a “sharing” economy that is “democratizing capitalism” by returning control of the working day to the individual. They point to opportunities that the gig economy provides for people to make extra money using their own cars or homes. The corporate image of companies like Uber and Lyft features moonlighting drivers saving up cash for a family vacation or a fancy date while providing a convenient service for customers—the ultimate win-win.16 Yet for most gig workers there’s not very much that is democratic or satisfying in it.


pages: 116 words: 31,356

Platform Capitalism by Nick Srnicek

"World Economic Forum" Davos, 3D printing, additive manufacturing, Airbnb, Amazon Mechanical Turk, Amazon Web Services, Big Tech, Californian Ideology, Capital in the Twenty-First Century by Thomas Piketty, cloud computing, collaborative economy, collective bargaining, data science, deindustrialization, deskilling, Didi Chuxing, digital capitalism, digital divide, disintermediation, driverless car, Ford Model T, future of work, gig economy, independent contractor, Infrastructure as a Service, Internet of things, Jean Tirole, Jeff Bezos, knowledge economy, knowledge worker, liquidity trap, low interest rates, low skilled workers, Lyft, Mark Zuckerberg, means of production, mittelstand, multi-sided market, natural language processing, Network effects, new economy, Oculus Rift, offshore financial centre, pattern recognition, platform as a service, quantitative easing, RFID, ride hailing / ride sharing, Robert Gordon, Salesforce, self-driving car, sharing economy, Shoshana Zuboff, Silicon Valley, Silicon Valley startup, software as a service, surveillance capitalism, TaskRabbit, the built environment, total factor productivity, two-sided market, Uber and Lyft, Uber for X, uber lyft, unconventional monetary instruments, unorthodox policies, vertical integration, warehouse robotics, Zipcar

As a result, Airbnb, Slack, Uber, and many other start-ups use AWS.79 Uber further relies on Google for mapping, Twilio for texting, SendGrid for emailing, and Braintree for payments: it is a lean platform built on other platforms. These companies have also offloaded costs from their balance sheets and shifted them to their workers: things like investment costs (accommodations for Airbnb, vehicles for Uber and Lyft), maintenance costs, insurance costs, and depreciation costs. Firms such as Instacart (which delivers groceries) have also outsourced delivery costs to food suppliers (e.g. Pepsi) and to retailers (e.g. Whole Foods) in return for advertising space.80 However, even with this support, Instacart remains unprofitable on 60 per cent of its business, and that is before the rather large costs of office space or the salaries of its core team are taken into account.81 The lack of profitability has led to the predictable measure of cutting back on wages – a notably widespread phenomenon among lean platforms.


pages: 139 words: 33,246

Money Moments: Simple Steps to Financial Well-Being by Jason Butler

Albert Einstein, asset allocation, behavioural economics, buy and hold, Cass Sunstein, Cornelius Vanderbilt, diversified portfolio, estate planning, financial independence, fixed income, happiness index / gross national happiness, index fund, intangible asset, John Bogle, longitudinal study, loss aversion, Lyft, Mark Zuckerberg, mortgage debt, Mr. Money Mustache, passive income, placebo effect, Richard Thaler, ride hailing / ride sharing, Steve Jobs, time value of money, traffic fines, Travis Kalanick, Uber and Lyft, uber lyft, Vanguard fund, Yogi Berra

Thirty years later my current car is a lot more comfortable (and reliable) than that old Vauxhall, but it is also a lot more expensive. The cost of car insurance for young people has skyrocketed over the past decade, to the extent that is can be almost as much as the value of the vehicle. This often makes it unaffordable without financial help from their family. The advent of ride hailing apps like Uber and Lyft, and the eventual availability of autonomous electric cars, together with wider adoption of car-sharing and better public transport, as well as rising vehicle running costs, are combining to undermine car ownership among younger people in urban areas. ‘Our intention is to make Uber so efficient, cars so highly utilized, that for most people it is cheaper than owning a car.’ said Uber’s then CEO Travis Kalanick in 2015.


pages: 380 words: 109,724

Don't Be Evil: How Big Tech Betrayed Its Founding Principles--And All of US by Rana Foroohar

"Susan Fowler" uber, "World Economic Forum" Davos, accounting loophole / creative accounting, Airbnb, Alan Greenspan, algorithmic bias, algorithmic management, AltaVista, Andy Rubin, autonomous vehicles, banking crisis, barriers to entry, behavioural economics, Bernie Madoff, Bernie Sanders, Big Tech, bitcoin, Black Lives Matter, book scanning, Brewster Kahle, Burning Man, call centre, Cambridge Analytica, cashless society, clean tech, cloud computing, cognitive dissonance, Colonization of Mars, computer age, corporate governance, creative destruction, Credit Default Swap, cryptocurrency, data is the new oil, data science, deal flow, death of newspapers, decentralized internet, Deng Xiaoping, digital divide, digital rights, disinformation, disintermediation, don't be evil, Donald Trump, drone strike, Edward Snowden, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Etonian, Evgeny Morozov, fake news, Filter Bubble, financial engineering, future of work, Future Shock, game design, gig economy, global supply chain, Gordon Gekko, Great Leap Forward, greed is good, income inequality, independent contractor, informal economy, information asymmetry, intangible asset, Internet Archive, Internet of things, invisible hand, Jaron Lanier, Jeff Bezos, job automation, job satisfaction, junk bonds, Kenneth Rogoff, life extension, light touch regulation, low interest rates, Lyft, Mark Zuckerberg, Marshall McLuhan, Martin Wolf, Menlo Park, military-industrial complex, move fast and break things, Network effects, new economy, offshore financial centre, PageRank, patent troll, Paul Volcker talking about ATMs, paypal mafia, Peter Thiel, pets.com, price discrimination, profit maximization, race to the bottom, recommendation engine, ride hailing / ride sharing, Robert Bork, Sand Hill Road, search engine result page, self-driving car, shareholder value, sharing economy, Sheryl Sandberg, Shoshana Zuboff, side hustle, Sidewalk Labs, Silicon Valley, Silicon Valley startup, smart cities, Snapchat, SoftBank, South China Sea, sovereign wealth fund, Steve Bannon, Steve Jobs, Steven Levy, stock buybacks, subscription business, supply-chain management, surveillance capitalism, TaskRabbit, tech billionaire, tech worker, TED Talk, Telecommunications Act of 1996, The Chicago School, the long tail, the new new thing, Tim Cook: Apple, too big to fail, Travis Kalanick, trickle-down economics, Uber and Lyft, Uber for X, uber lyft, Upton Sinclair, warehouse robotics, WeWork, WikiLeaks, zero-sum game

Netflix, for example, recently raised $2 billion through a junk bond offering to fund new content.21 It will be interesting to see how the next round of big anticipated IPOs goes—or if they go at all. Many top tech companies have opted to stay private longer, bidding up their valuations and raising expectations. Both Uber and Lyft completed disappointing IPOs as I was finishing this book. I suspect they won’t be the only companies unable to live up to the hype. I’m thinking in particular of Elon Musk’s SpaceX, but also Peter Thiel’s Palantir, which has been scaling back its thirteen-course lobster tail and sashimi lunches in anticipation of its public offering (probably a good idea, given that the company has yet to turn a profit in its fourteen-year history, despite having a valuation of $20 billion).22 Today’s darlings can so easily become tomorrow’s discards; as I finish this book, SoftBank, the bloated Japanese tech investment firm, has just scrapped its $16 billion plan to buy a stake in WeWork.

said Eric Schmidt to me back in 2015 when I interviewed him for the Kalanick profile. (Google Ventures had invested a whopping $258 million in Uber in 2013, pretty much giving Kalanick a blank check for whatever terms he wanted.)32 “Cab drivers can’t afford million-dollar medallions, so they end up working for financing companies.” It’s a fair point; while Uber and Lyft have taken much of the blame for the disruption in the taxi industry, recent New York Times reporting has also shown that city officials themselves have for years been in cahoots with dicey lenders to drive up the prices of official Yellow Cab medallions, which have since crashed, leaving many drivers in the lurch.33 Schmidt told me four years ago that he believed people like Kalanick were necessary to disrupt the system.


pages: 386 words: 113,709

Why We Drive: Toward a Philosophy of the Open Road by Matthew B. Crawford

1960s counterculture, Airbus A320, airport security, augmented reality, autonomous vehicles, behavioural economics, Bernie Sanders, Big Tech, Boeing 737 MAX, British Empire, Burning Man, business logic, call centre, classic study, collective bargaining, confounding variable, congestion pricing, crony capitalism, data science, David Sedaris, deskilling, digital map, don't be evil, Donald Trump, driverless car, Elon Musk, emotional labour, en.wikipedia.org, Fellow of the Royal Society, Ford Model T, gamification, gentrification, gig economy, Google Earth, Great Leap Forward, Herbert Marcuse, hive mind, Ian Bogost, income inequality, informal economy, Internet of things, Jane Jacobs, labour mobility, Lyft, mirror neurons, Network effects, New Journalism, New Urbanism, Nicholas Carr, planned obsolescence, Ponzi scheme, precautionary principle, Ralph Nader, ride hailing / ride sharing, Ronald Reagan, Sam Peltzman, security theater, self-driving car, sharing economy, Shoshana Zuboff, Silicon Valley, smart cities, social graph, social intelligence, Stephen Hawking, surveillance capitalism, tacit knowledge, tech worker, technoutopianism, the built environment, The Death and Life of Great American Cities, the High Line, time dilation, too big to fail, traffic fines, Travis Kalanick, trolley problem, Uber and Lyft, Uber for X, uber lyft, Unsafe at Any Speed, urban planning, Wall-E, Works Progress Administration

Mike Isaac, “Uber Defies California Regulators with Self-Driving Car Service,” New York Times, December 16, 2016, https://www.nytimes.com/2016/12/16/technology/uber-defies-california-regulators-with-self-driving-car-service.html. 9.John Harris, “With Trump and Uber, the Driverless Future Could Turn into a Nightmare,” Guardian, December 16, 2016, https://www.theguardian.com/commentisfree/2016/dec/16/trump-uber-driverless-future-jobs-go. 10.These are the findings of the city’s transport department as characterized by Nicole Gelinas in “Why Uber’s Investors May Lose Their Lunch,” New York Post, December 26, 2017, available at https://www.manhattan-institute.org/html/why-ubers-investors-may-lose-their-lunch-10847.html. 11.“Uber and Lyft Want to Replace Public Buses,” New York Public Transit Association, August 16, 2016, https://nytransit.org/resources/transit-tncs/207-uber-and-lyft-want-to-replace-public-buses. 12.Huber Horan, “Uber’s Path of Destruction,” American Affairs 3, no. 2 (Summer 2019). 13.Horan, “Uber’s Path of Destruction.” Horan cites structural problems that are intrinsic to the taxi market, requiring extra-market remedies.


pages: 179 words: 43,441

The Fourth Industrial Revolution by Klaus Schwab

"World Economic Forum" Davos, 3D printing, additive manufacturing, Airbnb, Amazon Mechanical Turk, Amazon Web Services, Anthropocene, augmented reality, autonomous vehicles, barriers to entry, Baxter: Rethink Robotics, bitcoin, blockchain, Buckminster Fuller, call centre, circular economy, clean water, collaborative consumption, commoditize, conceptual framework, continuous integration, CRISPR, cross-border payments, crowdsourcing, digital divide, digital twin, disintermediation, disruptive innovation, distributed ledger, driverless car, Edward Snowden, Elon Musk, epigenetics, Erik Brynjolfsson, future of work, global value chain, Google Glasses, hype cycle, income inequality, Internet Archive, Internet of things, invention of the steam engine, job automation, job satisfaction, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, life extension, Lyft, Marc Benioff, mass immigration, megacity, meta-analysis, more computing power than Apollo, mutually assured destruction, Narrative Science, Network effects, Nicholas Carr, nuclear taboo, OpenAI, personalized medicine, precariat, precision agriculture, Productivity paradox, race to the bottom, randomized controlled trial, reshoring, RFID, rising living standards, Sam Altman, Second Machine Age, secular stagnation, self-driving car, sharing economy, Silicon Valley, smart cities, smart contracts, social contagion, software as a service, Stephen Hawking, Steve Jobs, Steven Levy, Stuxnet, supercomputer in your pocket, synthetic biology, TaskRabbit, The Future of Employment, The Spirit Level, total factor productivity, transaction costs, Uber and Lyft, uber lyft, Watson beat the top human players on Jeopardy!, Wayback Machine, WikiLeaks, winner-take-all economy, women in the workforce, working-age population, Y Combinator, Zipcar

Well-known examples of the sharing economy exist in the transportation sector. Zipcar provides one method for people to share use of a vehicle for shorter periods of time and more reasonably than traditional rental car companies. RelayRides provides a platform to locate and borrow someone’s personal vehicle for a period of time. Uber and Lyft provide much more efficient “taxi-like” services from individuals, but aggregated through a service, enabled by location services and accessed through mobile apps. In addition, they are available at a moment’s notice. The sharing economy has any number of ingredients, characteristics or descriptors: technology enabled, preference for access over ownership, peer to peer, sharing of personal assets (versus corporate assets), ease of access, increased social interaction, collaborative consumption and openly shared user feedback (resulting in increased trust).


pages: 472 words: 117,093

Machine, Platform, Crowd: Harnessing Our Digital Future by Andrew McAfee, Erik Brynjolfsson

"World Economic Forum" Davos, 3D printing, additive manufacturing, AI winter, Airbnb, airline deregulation, airport security, Albert Einstein, algorithmic bias, AlphaGo, Amazon Mechanical Turk, Amazon Web Services, Andy Rubin, AOL-Time Warner, artificial general intelligence, asset light, augmented reality, autism spectrum disorder, autonomous vehicles, backpropagation, backtesting, barriers to entry, behavioural economics, bitcoin, blockchain, blood diamond, British Empire, business cycle, business process, carbon footprint, Cass Sunstein, centralized clearinghouse, Chris Urmson, cloud computing, cognitive bias, commoditize, complexity theory, computer age, creative destruction, CRISPR, crony capitalism, crowdsourcing, cryptocurrency, Daniel Kahneman / Amos Tversky, data science, Dean Kamen, deep learning, DeepMind, Demis Hassabis, discovery of DNA, disintermediation, disruptive innovation, distributed ledger, double helix, driverless car, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Ethereum, ethereum blockchain, everywhere but in the productivity statistics, Evgeny Morozov, fake news, family office, fiat currency, financial innovation, general purpose technology, Geoffrey Hinton, George Akerlof, global supply chain, Great Leap Forward, Gregor Mendel, Hernando de Soto, hive mind, independent contractor, information asymmetry, Internet of things, inventory management, iterative process, Jean Tirole, Jeff Bezos, Jim Simons, jimmy wales, John Markoff, joint-stock company, Joseph Schumpeter, Kickstarter, Kiva Systems, law of one price, longitudinal study, low interest rates, Lyft, Machine translation of "The spirit is willing, but the flesh is weak." to Russian and back, Marc Andreessen, Marc Benioff, Mark Zuckerberg, meta-analysis, Mitch Kapor, moral hazard, multi-sided market, Mustafa Suleyman, Myron Scholes, natural language processing, Network effects, new economy, Norbert Wiener, Oculus Rift, PageRank, pattern recognition, peer-to-peer lending, performance metric, plutocrats, precision agriculture, prediction markets, pre–internet, price stability, principal–agent problem, Project Xanadu, radical decentralization, Ray Kurzweil, Renaissance Technologies, Richard Stallman, ride hailing / ride sharing, risk tolerance, Robert Solow, Ronald Coase, Salesforce, Satoshi Nakamoto, Second Machine Age, self-driving car, sharing economy, Silicon Valley, Skype, slashdot, smart contracts, Snapchat, speech recognition, statistical model, Steve Ballmer, Steve Jobs, Steven Pinker, supply-chain management, synthetic biology, tacit knowledge, TaskRabbit, Ted Nelson, TED Talk, the Cathedral and the Bazaar, The Market for Lemons, The Nature of the Firm, the strength of weak ties, Thomas Davenport, Thomas L Friedman, too big to fail, transaction costs, transportation-network company, traveling salesman, Travis Kalanick, Two Sigma, two-sided market, Tyler Cowen, Uber and Lyft, Uber for X, uber lyft, ubercab, Vitalik Buterin, warehouse robotics, Watson beat the top human players on Jeopardy!, winner-take-all economy, yield management, zero day

By June 2016, Uber was valued at $68 billion and had raised $15 billion from investors, which it used to aggressively fund even more rapid expansion around the world. In many cities, taxi companies and other incumbents in urban personal transportation have seen their business fall off as Uber has grown. Traditional taxis provided 8.4 million trips in Los Angeles in 2012, the year before the arrival of Uber and Lyft in the city. Within three years, taxi rides had declined by almost 30%, and prearranged taxi rides were down 42%. Further north, San Francisco’s largest taxi company, Yellow Cab Cooperative, filed for bankruptcy in January of 2016. Taxi medallions—transferable licenses to legally operate a cab and pick up street hails—had long been considered good investments.

The great majority of Uber’s ride suppliers were not professional chauffeurs; they were simply people who wanted to make money with their labor and their cars. So how did this huge market overcome severe information asymmetries? In 2013, California passed regulations mandating that transportation network companies (TNCs) such as Uber and Lyft conduct criminal background checks on their drivers. These checks certainly provided some reassurance, but they were not the whole story. After all, UberX and its competitor Lyft both grew rapidly before background checks were in place, and by August 2016, BlaBlaCar still did not require them for its drivers.


pages: 457 words: 128,838

The Age of Cryptocurrency: How Bitcoin and Digital Money Are Challenging the Global Economic Order by Paul Vigna, Michael J. Casey

Airbnb, Alan Greenspan, altcoin, Apple Newton, bank run, banking crisis, bitcoin, Bitcoin Ponzi scheme, blockchain, Bretton Woods, buy and hold, California gold rush, capital controls, carbon footprint, clean water, Cody Wilson, collaborative economy, collapse of Lehman Brothers, Columbine, Credit Default Swap, cross-border payments, cryptocurrency, David Graeber, decentralized internet, disinformation, disintermediation, Dogecoin, driverless car, Edward Snowden, Elon Musk, Ethereum, ethereum blockchain, fiat currency, financial engineering, financial innovation, Firefox, Flash crash, Ford Model T, Fractional reserve banking, Glass-Steagall Act, hacker house, Hacker News, Hernando de Soto, high net worth, informal economy, intangible asset, Internet of things, inventory management, Joi Ito, Julian Assange, Kickstarter, Kuwabatake Sanjuro: assassination market, litecoin, Long Term Capital Management, Lyft, M-Pesa, Marc Andreessen, Mark Zuckerberg, McMansion, means of production, Menlo Park, mobile money, Money creation, money: store of value / unit of account / medium of exchange, Nelson Mandela, Network effects, new economy, new new economy, Nixon shock, Nixon triggered the end of the Bretton Woods system, off-the-grid, offshore financial centre, payday loans, Pearl River Delta, peer-to-peer, peer-to-peer lending, pets.com, Ponzi scheme, prediction markets, price stability, printed gun, profit motive, QR code, RAND corporation, regulatory arbitrage, rent-seeking, reserve currency, Robert Shiller, Ross Ulbricht, Satoshi Nakamoto, seigniorage, shareholder value, sharing economy, short selling, Silicon Valley, Silicon Valley startup, Skype, smart contracts, special drawing rights, Spread Networks laid a new fibre optics cable between New York and Chicago, Steve Jobs, supply-chain management, Ted Nelson, The Great Moderation, the market place, the payments system, The Wealth of Nations by Adam Smith, too big to fail, transaction costs, tulip mania, Turing complete, Tyler Cowen, Tyler Cowen: Great Stagnation, Uber and Lyft, uber lyft, underbanked, Vitalik Buterin, WikiLeaks, Y Combinator, Y2K, zero-sum game, Zimmermann PGP

David Johnston is a senior board member at the Mastercoin Foundation, the body that coordinates the funding for the Mastercoin project, which offers a special software platform for developers to design special decentralized applications that can run on top of the bitcoin blockchain. He says blockchain technology “will supercharge the sharing economy,” that emerging trend in which apartment owners use Airbnb.com to rent out quasi hotel rooms and car owners sign up as self-employed taxidrivers for smartphone-based Uber and Lyft. The idea is that if we can decentralize the economy and foster multiple forms of peer-to-peer exchanges, people will figure out profitable ways to turn much of what they own or control into a marketable service. Johnston is known for having coined the term DApp, for “decentralized autonomous application,” to describe the kind of specialized software programs that could thrive in blockchain-based settings.

Got a big idea? Share it online and raise the money online to fund it. Business symbols of this era so far include the personal-apartment rental site Airbnb, the crowdfunding site Kickstarter, the peer-to-peer lending network Lending Club, and the taxi services controlled by individual car owners Uber and Lyft. In some respects these new business models are extensions of a process that began far earlier with the advent of the Internet. While no self-respecting bitcoiner would ever describe Google or Facebook as decentralized institutions, not with their corporate-controlled servers and vast databases of customers’ personal information, these giant Internet firms of our day got there by encouraging peer-to-peer and middleman-free activities.


Virtual Competition by Ariel Ezrachi, Maurice E. Stucke

"World Economic Forum" Davos, Airbnb, Alan Greenspan, Albert Einstein, algorithmic management, algorithmic trading, Arthur D. Levinson, barriers to entry, behavioural economics, cloud computing, collaborative economy, commoditize, confounding variable, corporate governance, crony capitalism, crowdsourcing, Daniel Kahneman / Amos Tversky, David Graeber, deep learning, demand response, Didi Chuxing, digital capitalism, disintermediation, disruptive innovation, double helix, Downton Abbey, driverless car, electricity market, Erik Brynjolfsson, Evgeny Morozov, experimental economics, Firefox, framing effect, Google Chrome, independent contractor, index arbitrage, information asymmetry, interest rate derivative, Internet of things, invisible hand, Jean Tirole, John Markoff, Joseph Schumpeter, Kenneth Arrow, light touch regulation, linked data, loss aversion, Lyft, Mark Zuckerberg, market clearing, market friction, Milgram experiment, multi-sided market, natural language processing, Network effects, new economy, nowcasting, offshore financial centre, pattern recognition, power law, prediction markets, price discrimination, price elasticity of demand, price stability, profit maximization, profit motive, race to the bottom, rent-seeking, Richard Thaler, ride hailing / ride sharing, road to serfdom, Robert Bork, Ronald Reagan, search costs, self-driving car, sharing economy, Silicon Valley, Skype, smart cities, smart meter, Snapchat, social graph, Steve Jobs, sunk-cost fallacy, supply-chain management, telemarketer, The Chicago School, The Myth of the Rational Market, The Wealth of Nations by Adam Smith, too big to fail, transaction costs, Travis Kalanick, turn-by-turn navigation, two-sided market, Uber and Lyft, Uber for X, uber lyft, vertical integration, Watson beat the top human players on Jeopardy!, women in the workforce, yield management

Let us also assume taxis, for various reasons, are not a significant competitive restraint. What, if any, competition is left? Uber drivers do not offer discounts, as Uber’s pricing algorithm determines the fare. Nor will Uber drivers necessarily compete by offering better ser vice. One study of Uber and Lyft drivers found that they “distanced themselves from one another by checking other drivers’ locations on the map so that they did not compete with each other for passenger requests. When drivers desired a break but did not want to turn off their driver applications to benefit from an hourly payment promotion, they parked in between the other ridesharing cars in order not to get any requests.”27 So, as more people use Uber in Nashville, more drivers will likewise gravitate to Uber’s platform, which further reduces users’ wait time, increasing Uber’s appeal.

One study examined four weeks of Uber data and did not find evidence of surge pricing bringing more drivers out on the roads. Instead, surge pricing appeared to push “drivers already on the job toward neighborhoods with more demand—and higher surge pricing. As a result, some neighborhoods are left with higher waiting times for a car.”15 Another study interviewed Uber and Lyft drivers. Over half of the interviewed drivers said they were “not influenced by surge pricing information as the supply-demand control algorithms failed to accommodate their abilities, emotion, and motivation.”16 As the study found, Surge pricing changed too rapidly and unexpectedly to utilize the information in a strategic way to boost their incomes.


pages: 506 words: 133,134

The Lonely Century: How Isolation Imperils Our Future by Noreena Hertz

"Friedman doctrine" OR "shareholder theory", Airbnb, airport security, algorithmic bias, Asian financial crisis, autism spectrum disorder, Bernie Sanders, Big Tech, big-box store, Broken windows theory, call centre, Capital in the Twenty-First Century by Thomas Piketty, car-free, Cass Sunstein, centre right, conceptual framework, Copley Medal, coronavirus, correlation does not imply causation, COVID-19, dark matter, deindustrialization, Diane Coyle, digital divide, disinformation, Donald Trump, driverless car, emotional labour, en.wikipedia.org, Erik Brynjolfsson, Evgeny Morozov, fake news, Fellow of the Royal Society, future of work, gender pay gap, gentrification, gig economy, Gordon Gekko, greed is good, Greta Thunberg, happiness index / gross national happiness, housing crisis, illegal immigration, independent contractor, industrial robot, Jane Jacobs, Jeff Bezos, Jeremy Corbyn, Jessica Bruder, job automation, job satisfaction, karōshi / gwarosa / guolaosi, Kevin Roose, knowledge economy, labor-force participation, lockdown, longitudinal study, low interest rates, low skilled workers, Lyft, Mark Zuckerberg, mass immigration, means of production, megacity, meta-analysis, move fast and break things, Network effects, new economy, Pepto Bismol, QWERTY keyboard, Ray Oldenburg, remote working, rent control, RFID, robo advisor, Ronald Reagan, Salesforce, San Francisco homelessness, Second Machine Age, Shoshana Zuboff, side hustle, Silicon Valley, Skype, Snapchat, social distancing, Social Responsibility of Business Is to Increase Its Profits, SoftBank, Steve Jobs, surveillance capitalism, TaskRabbit, tech worker, The Death and Life of Great American Cities, The Future of Employment, The Great Good Place, the long tail, The Wealth of Nations by Adam Smith, TikTok, Tim Cook: Apple, Uber and Lyft, uber lyft, urban planning, Wall-E, warehouse automation, warehouse robotics, WeWork, work culture , working poor, workplace surveillance

New legislation approved by the European Parliament in April 2019, and a landmark bill passed in California that took effect in January 2020, make significant progress on these fronts.67 The California bill presumes a worker is an employee unless the employer can show that the worker is free from the control of the company, does work outside the company’s core business and has an independent enterprise in the same nature as the company.68 And in May 2020, California’s attorney general and a coalition of city attorneys in the state, frustrated that Uber and Lyft had not only not taken steps to reclassify their drivers but had also poured millions of dollars into a campaign for a ballot initiative that would exempt them from complying with the law, sued both the companies for wrongly classifying their drivers as independent contractors in violation of this new law.69 The case, at the time of writing, is ongoing.

bill_id=201920200AB5; ‘ABC is not as easy as 1-2-3 – Which independent contractor classification test applies to whom after AB5?’, Porter Simon, 19 December 2019, https://www.portersimon.com/abc-is-not-as-easy-as-1-2-3-which-independent-contractor-classification-test-applies-to-whom-after-ab5/. 69 Kate Conger, ‘California Sues Uber and Lyft, Claiming Workers Are Misclassified’, New York Times, 5 May 2020, https://www.nytimes.com/2020/05/05/technology/california-uber-lyft-lawsuit.html. 70 ‘3F reaches groundbreaking collective agreement with platform company Hilfr’, Uni Global Union, 18 September 2018, https://www.uniglobalunion.org/news/3f-reaches-groundbreaking-collective-agreement-platform-company-hilfr. 71 GMB Union, ‘Hermes and GMB in groundbreaking gig economy deal’, 4 February 2019, https://www.gmb.org.uk/news/hermes-gmb-groundbreaking-gig-economy-deal; see also Robert Wright, ‘Hermes couriers awarded union recognition in gig economy first’, Financial Times, 4 February 2019, https://www.ft.com/content/255950d2-264d-11e9-b329-c7e6ceb5ffdf. 72 Liz Alderman, ‘Amazon Loses Appeal of French Order to Stop Selling Nonessential Items’, New York Times, 24 April 2020, https://www.nytimes.com/2020/04/24/business/amazon-france-unions-coronavirus.html. 73 Even then, the kits took weeks to arrive, the ordering process was mired in bureaucracy, and the number of kits was limited.


pages: 172 words: 48,747

The View From Flyover Country: Dispatches From the Forgotten America by Sarah Kendzior

Aaron Swartz, Affordable Care Act / Obamacare, Alan Greenspan, American ideology, barriers to entry, clean water, corporate personhood, crowdsourcing, David Brooks, David Graeber, disinformation, Donald Trump, Edward Snowden, gentrification, George Santayana, glass ceiling, income inequality, independent contractor, low skilled workers, Lyft, Marshall McLuhan, Mohammed Bouazizi, new economy, obamacare, Occupy movement, Oklahoma City bombing, payday loans, pink-collar, post-work, public intellectual, publish or perish, Richard Florida, ride hailing / ride sharing, Sheryl Sandberg, side hustle, Silicon Valley, the medium is the message, trickle-down economics, Uber and Lyft, uber lyft, unpaid internship, Upton Sinclair, urban decay, War on Poverty, WikiLeaks, women in the workforce

Louis writer and full-time taxi driver, bemoaned the economic model of ride-share services, which are trying to establish themselves in the city. Noting that they hurt not only taxi drivers but poor residents who have neither cars nor public transport and thus depend on taxis willing to serve dangerous neighborhoods, he dismisses Uber and Lyft as hipster elitists masquerading as innovators: “I’ve heard several young hipsters tell me they’re socially-liberal and economic-conservative, a popular trend in American politics,” he writes. “Well, I hate to break it to you, buddy, but it’s economics and the role of the state that defines politics.


pages: 181 words: 52,147

The Driver in the Driverless Car: How Our Technology Choices Will Create the Future by Vivek Wadhwa, Alex Salkever

23andMe, 3D printing, Airbnb, AlphaGo, artificial general intelligence, augmented reality, autonomous vehicles, barriers to entry, benefit corporation, Bernie Sanders, bitcoin, blockchain, clean water, correlation does not imply causation, CRISPR, deep learning, DeepMind, distributed ledger, Donald Trump, double helix, driverless car, Elon Musk, en.wikipedia.org, epigenetics, Erik Brynjolfsson, gigafactory, Google bus, Hyperloop, income inequality, information security, Internet of things, job automation, Kevin Kelly, Khan Academy, Kickstarter, Law of Accelerating Returns, license plate recognition, life extension, longitudinal study, Lyft, M-Pesa, Mary Meeker, Menlo Park, microbiome, military-industrial complex, mobile money, new economy, off-the-grid, One Laptop per Child (OLPC), personalized medicine, phenotype, precision agriculture, radical life extension, RAND corporation, Ray Kurzweil, recommendation engine, Ronald Reagan, Second Machine Age, self-driving car, seminal paper, Silicon Valley, Skype, smart grid, stem cell, Stephen Hawking, Steve Wozniak, Stuxnet, supercomputer in your pocket, synthetic biology, Tesla Model S, The future is already here, The Future of Employment, Thomas Davenport, Travis Kalanick, Turing test, Uber and Lyft, Uber for X, uber lyft, uranium enrichment, Watson beat the top human players on Jeopardy!, zero day

This paradigm shift will not be without costs or controversies. For sure, widespread adoption of autonomous vehicles will eliminate the jobs of the millions of Americans whose living comes of driving cars, trucks, and buses (and eventually all those who pilot planes and ships). We will begin sharing our cars, in a logical extension of Uber and Lyft. But how will we handle the inevitable software faults that result in human casualties? And how will we program the machines to make the right decisions when faced with impossible choices—such as whether an autonomous car should drive off a cliff to spare a busload of children at the cost of killing the car’s human passenger?


pages: 180 words: 55,805

The Price of Tomorrow: Why Deflation Is the Key to an Abundant Future by Jeff Booth

3D printing, Abraham Maslow, activist fund / activist shareholder / activist investor, additive manufacturing, AI winter, Airbnb, Albert Einstein, AlphaGo, Amazon Web Services, artificial general intelligence, augmented reality, autonomous vehicles, basic income, bitcoin, blockchain, Bretton Woods, business intelligence, butterfly effect, Charles Babbage, Claude Shannon: information theory, clean water, cloud computing, cognitive bias, collapse of Lehman Brothers, Computing Machinery and Intelligence, corporate raider, creative destruction, crony capitalism, crowdsourcing, cryptocurrency, currency manipulation / currency intervention, dark matter, deep learning, DeepMind, deliberate practice, digital twin, distributed ledger, Donald Trump, Elon Musk, fiat currency, Filter Bubble, financial engineering, full employment, future of work, game design, gamification, general purpose technology, Geoffrey Hinton, Gordon Gekko, Great Leap Forward, Hyman Minsky, hype cycle, income inequality, inflation targeting, information asymmetry, invention of movable type, Isaac Newton, Jeff Bezos, John Maynard Keynes: Economic Possibilities for our Grandchildren, John von Neumann, Joseph Schumpeter, late fees, low interest rates, Lyft, Maslow's hierarchy, Milgram experiment, Minsky moment, Modern Monetary Theory, moral hazard, Nelson Mandela, Network effects, Nick Bostrom, oil shock, OpenAI, pattern recognition, Ponzi scheme, quantitative easing, race to the bottom, ride hailing / ride sharing, self-driving car, software as a service, technoutopianism, TED Talk, the long tail, the scientific method, Thomas Bayes, Turing test, Uber and Lyft, uber lyft, universal basic income, winner-take-all economy, X Prize, zero-sum game

A utilization rate increase means less demand for automobiles. When manufacturers can give a choice of 1) a rides-on-demand service for a monthly fee or 2) an ability, when I purchase, to make extra dollars on my car when I’m not using it by adding my vehicle back to the network, what advantage do Uber and Lyft provide? This would turn car manufacturers into platform companies. A business like this will follow a very similar trajectory to other technology platform businesses, since the new model enjoys network effects. That race is important because density of the network (availability and choice of car types) will be the main consideration to rapid adoption.


pages: 194 words: 54,355

100 Things We've Lost to the Internet by Pamela Paul

2021 United States Capitol attack, 23andMe, Big Tech, coronavirus, COVID-19, emotional labour, financial independence, Google Earth, Jaron Lanier, John Perry Barlow, Kickstarter, lock screen, Lyft, Mark Zuckerberg, Minecraft, off-the-grid, pre–internet, QR code, QWERTY keyboard, rolodex, Rubik’s Cube, Silicon Valley, Snapchat, TaskRabbit, telemarketer, TikTok, trickle-down economics, Uber and Lyft, uber lyft, Wall-E

It was the subject of arguments and the grudging taking of turns, and someone always ended up sidelined as party pooper. Still, the knowledge that someone, perhaps even just that one person, would need to exercise self-control and get everyone home safe at the end of the night conferred a certain degree of restraint to an evening, no matter how debauched. Now everyone can drink themselves silly. With Uber and Lyft ever ready, there’s no need to argue over who will be the designated driver. Teenagers don’t have to make humiliating calls home using their fake sober voice, pleading for their parents to fetch them because everyone left without them. Instead they can booze their way into oblivion and consume lord knows what other iffy intoxicants.


pages: 173 words: 55,328

Last Best Hope: America in Crisis and Renewal by George Packer

affirmative action, Affordable Care Act / Obamacare, Alan Greenspan, anti-bias training, anti-communist, Berlin Wall, Bernie Sanders, Big Tech, BIPOC, Black Lives Matter, blue-collar work, Branko Milanovic, British Empire, business cycle, Capital in the Twenty-First Century by Thomas Piketty, collective bargaining, coronavirus, COVID-19, crony capitalism, defund the police, deindustrialization, desegregation, disinformation, Donald Trump, failed state, fake news, Fall of the Berlin Wall, Ferguson, Missouri, fulfillment center, full employment, George Floyd, ghettoisation, gig economy, glass ceiling, informal economy, Jeff Bezos, knowledge economy, liberal capitalism, lockdown, Lyft, Mark Zuckerberg, mass immigration, meritocracy, minimum wage unemployment, new economy, Norman Mailer, obamacare, off-the-grid, postindustrial economy, prosperity theology / prosperity gospel / gospel of success, QAnon, ride hailing / ride sharing, road to serfdom, Ronald Reagan, school vouchers, self-driving car, Silicon Valley, social distancing, Social Justice Warrior, Steve Bannon, too big to fail, Triangle Shirtwaist Factory, Uber and Lyft, uber lyft, Upton Sinclair, white flight, working poor, young professional

If a ride-share app is quick and easy, if one-click shopping beats driving to the mall, if a too-big-to-fail bank has branches all over the city, it’s hard to see all the negative consequences of monopoly, or want to do much about them. So in 2020 voters in California, who gave Biden 5 million more votes than Trump, also passed a referendum to overturn a new state law that would have allowed drivers for Uber and Lyft the status and rights of employees. As long as prices stay low and services efficient, who really wants change? Even if you feel a vague objection now and then, you still have to live in the world of the behemoths. The Progressives of Perkins’s era attacked the trusts not simply because they were big, but because they threatened the freedom of the independent owner, the industrial worker, and the citizen.


pages: 499 words: 144,278

Coders: The Making of a New Tribe and the Remaking of the World by Clive Thompson

"Margaret Hamilton" Apollo, "Susan Fowler" uber, 2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, 4chan, 8-hour work day, Aaron Swartz, Ada Lovelace, AI winter, air gap, Airbnb, algorithmic bias, AlphaGo, Amazon Web Services, Andy Rubin, Asperger Syndrome, augmented reality, Ayatollah Khomeini, backpropagation, barriers to entry, basic income, behavioural economics, Bernie Sanders, Big Tech, bitcoin, Bletchley Park, blockchain, blue-collar work, Brewster Kahle, Brian Krebs, Broken windows theory, call centre, Cambridge Analytica, cellular automata, Charles Babbage, Chelsea Manning, Citizen Lab, clean water, cloud computing, cognitive dissonance, computer vision, Conway's Game of Life, crisis actor, crowdsourcing, cryptocurrency, Danny Hillis, data science, David Heinemeier Hansson, deep learning, DeepMind, Demis Hassabis, disinformation, don't be evil, don't repeat yourself, Donald Trump, driverless car, dumpster diving, Edward Snowden, Elon Musk, Erik Brynjolfsson, Ernest Rutherford, Ethereum, ethereum blockchain, fake news, false flag, Firefox, Frederick Winslow Taylor, Free Software Foundation, Gabriella Coleman, game design, Geoffrey Hinton, glass ceiling, Golden Gate Park, Google Hangouts, Google X / Alphabet X, Grace Hopper, growth hacking, Guido van Rossum, Hacker Ethic, hockey-stick growth, HyperCard, Ian Bogost, illegal immigration, ImageNet competition, information security, Internet Archive, Internet of things, Jane Jacobs, John Markoff, Jony Ive, Julian Assange, Ken Thompson, Kickstarter, Larry Wall, lone genius, Lyft, Marc Andreessen, Mark Shuttleworth, Mark Zuckerberg, Max Levchin, Menlo Park, meritocracy, microdosing, microservices, Minecraft, move 37, move fast and break things, Nate Silver, Network effects, neurotypical, Nicholas Carr, Nick Bostrom, no silver bullet, Northpointe / Correctional Offender Management Profiling for Alternative Sanctions, Oculus Rift, off-the-grid, OpenAI, operational security, opioid epidemic / opioid crisis, PageRank, PalmPilot, paperclip maximiser, pattern recognition, Paul Graham, paypal mafia, Peter Thiel, pink-collar, planetary scale, profit motive, ransomware, recommendation engine, Richard Stallman, ride hailing / ride sharing, Rubik’s Cube, Ruby on Rails, Sam Altman, Satoshi Nakamoto, Saturday Night Live, scientific management, self-driving car, side project, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, single-payer health, Skype, smart contracts, Snapchat, social software, software is eating the world, sorting algorithm, South of Market, San Francisco, speech recognition, Steve Wozniak, Steven Levy, systems thinking, TaskRabbit, tech worker, techlash, TED Talk, the High Line, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, universal basic income, urban planning, Wall-E, Watson beat the top human players on Jeopardy!, WeWork, WikiLeaks, women in the workforce, Y Combinator, Zimmermann PGP, éminence grise

(In New York City alone, in 2018 there were only 13,578 traditional taxis, but the number of ride-hail drives had exploded to 80,000.) Certainly, drivers who were only doing it for spare money were thrilled to have a way to quickly pick up some extra pocket money; Uber and Lyft made it possible to do driving as piecework. But it was bad news for anyone looking to drive as a reliably steady gig, a job that historically has been one of the easier-to-acquire forms of work for immigrants in big cities. “What Uber and Lyft have done is come into the industry and wreck it,” as the Nigerian cabdriver Nnamdi Uwazie told NBC. By 2017, several cabdrivers had committed suicide and blamed the ride-hail firms for destabilizing their work so massively that it wasn’t possible to rely on driving for a predictable income.


pages: 527 words: 147,690

Terms of Service: Social Media and the Price of Constant Connection by Jacob Silverman

"World Economic Forum" Davos, 23andMe, 4chan, A Declaration of the Independence of Cyberspace, Aaron Swartz, Airbnb, airport security, Amazon Mechanical Turk, augmented reality, basic income, Big Tech, Brian Krebs, California gold rush, Californian Ideology, call centre, cloud computing, cognitive dissonance, commoditize, company town, context collapse, correlation does not imply causation, Credit Default Swap, crowdsourcing, data science, deep learning, digital capitalism, disinformation, don't be evil, driverless car, drone strike, Edward Snowden, Evgeny Morozov, fake it until you make it, feminist movement, Filter Bubble, Firefox, Flash crash, game design, global village, Google Chrome, Google Glasses, Higgs boson, hive mind, Ian Bogost, income inequality, independent contractor, informal economy, information retrieval, Internet of things, Jacob Silverman, Jaron Lanier, jimmy wales, John Perry Barlow, Kevin Kelly, Kevin Roose, Kickstarter, knowledge economy, knowledge worker, Larry Ellison, late capitalism, Laura Poitras, license plate recognition, life extension, lifelogging, lock screen, Lyft, machine readable, Mark Zuckerberg, Mars Rover, Marshall McLuhan, mass incarceration, meta-analysis, Minecraft, move fast and break things, national security letter, Network effects, new economy, Nicholas Carr, Occupy movement, off-the-grid, optical character recognition, payday loans, Peter Thiel, planned obsolescence, postindustrial economy, prediction markets, pre–internet, price discrimination, price stability, profit motive, quantitative hedge fund, race to the bottom, Ray Kurzweil, real-name policy, recommendation engine, rent control, rent stabilization, RFID, ride hailing / ride sharing, Salesforce, self-driving car, sentiment analysis, shareholder value, sharing economy, Sheryl Sandberg, Silicon Valley, Silicon Valley ideology, Snapchat, social bookmarking, social graph, social intelligence, social web, sorting algorithm, Steve Ballmer, Steve Jobs, Steven Levy, systems thinking, TaskRabbit, technological determinism, technological solutionism, technoutopianism, TED Talk, telemarketer, transportation-network company, Travis Kalanick, Turing test, Uber and Lyft, Uber for X, uber lyft, universal basic income, unpaid internship, women in the workforce, Y Combinator, yottabyte, you are the product, Zipcar

If you live in New York City, like I do, a taxi that picks you up in Manhattan is legally obliged to take you wherever you want to go, including to one of the other boroughs (with the meter running the whole time, of course). Unless you are violent, disruptive, or otherwise problematic, the driver can’t refuse you a ride based on your skin color or some star rating you’ve accumulated. You can also expect to pay a standard fare, unlike with Uber and Lyft, which are known to institute surge pricing to leverage high demand. Uber claims that surge pricing represents a market-based solution and offers a fair price based on availability. Except that Uber controls the market. They decide how many cars are on the road—the company has been caught asking drivers to stay off the road in order to drive up rates.

If I approached a laundry service with such a task, they’d either laugh at me or demand a hefty price to do the work, and understandably so. Some of these companies have helped to spur establishment players toward needed reforms. Taxi services, often seen as resisting innovation, have begun adopting smartphone apps and e-hailing systems to keep up with Uber and Lyft. Airbnb has shown that many people are interested in renting out their homes, despite laws that prevent doing so, and that cities may have to work to accommodate this need. But in the spirit of disruption, these companies tend to show up in a new city promising to lead a revolution, only to be forced—by court order, political pressure, or the realization that existing regulations do some good and are unlikely to be overturned—to start negotiating with political leaders and abide by local laws.


pages: 486 words: 150,849

Evil Geniuses: The Unmaking of America: A Recent History by Kurt Andersen

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, affirmative action, Affordable Care Act / Obamacare, air traffic controllers' union, airline deregulation, airport security, Alan Greenspan, always be closing, American ideology, American Legislative Exchange Council, An Inconvenient Truth, anti-communist, Apple's 1984 Super Bowl advert, artificial general intelligence, autonomous vehicles, basic income, Bear Stearns, Bernie Sanders, blue-collar work, Bonfire of the Vanities, bonus culture, Burning Man, call centre, Capital in the Twenty-First Century by Thomas Piketty, carbon tax, Cass Sunstein, centre right, computer age, contact tracing, coronavirus, corporate governance, corporate raider, cotton gin, COVID-19, creative destruction, Credit Default Swap, cryptocurrency, deep learning, DeepMind, deindustrialization, Donald Trump, Dr. Strangelove, Elon Musk, ending welfare as we know it, Erik Brynjolfsson, feminist movement, financial deregulation, financial innovation, Francis Fukuyama: the end of history, future of work, Future Shock, game design, General Motors Futurama, George Floyd, George Gilder, Gordon Gekko, greed is good, Herbert Marcuse, Herman Kahn, High speed trading, hive mind, income inequality, industrial robot, interchangeable parts, invisible hand, Isaac Newton, It's morning again in America, James Watt: steam engine, Jane Jacobs, Jaron Lanier, Jeff Bezos, jitney, Joan Didion, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Joseph Schumpeter, junk bonds, Kevin Roose, knowledge worker, lockdown, low skilled workers, Lyft, Mark Zuckerberg, market bubble, mass immigration, mass incarceration, Menlo Park, Naomi Klein, new economy, Norbert Wiener, Norman Mailer, obamacare, Overton Window, Peter Thiel, Picturephone, plutocrats, post-industrial society, Powell Memorandum, pre–internet, public intellectual, Ralph Nader, Right to Buy, road to serfdom, Robert Bork, Robert Gordon, Robert Mercer, Ronald Reagan, Saturday Night Live, Seaside, Florida, Second Machine Age, shareholder value, Silicon Valley, social distancing, Social Responsibility of Business Is to Increase Its Profits, Steve Jobs, Stewart Brand, stock buybacks, strikebreaker, tech billionaire, The Death and Life of Great American Cities, The Future of Employment, The Rise and Fall of American Growth, The Wealth of Nations by Adam Smith, Tim Cook: Apple, too big to fail, trickle-down economics, Tyler Cowen, Tyler Cowen: Great Stagnation, Uber and Lyft, uber lyft, union organizing, universal basic income, Unsafe at Any Speed, urban planning, urban renewal, very high income, wage slave, Wall-E, War on Poverty, We are all Keynesians now, Whole Earth Catalog, winner-take-all economy, women in the workforce, working poor, young professional, éminence grise

Among those fast-food workers are some of the 3.4 million American cashiers, who are officially distinct from the 4.1 million American retail sales workers—and obviously the great majority of all of them are replaceable sooner rather than later by e-commerce and improved self-checkout machines, known in the industry as “semi-attended customer-activated terminals.” Starting now, retail chains will have a public health argument for replacing workers behind the counters with machines. The most common American job, however, has been driver—the 4 or 5 million FedEx and UPS and tractor-trailer and bus drivers, and the maybe 2 million taxi and Uber and Lyft drivers. During this decade, autonomous vehicles will begin making the 6 or 7 million (potentially infectious) people doing those jobs redundant as well. That debate over whether to blame automation or cheap labor for eliminating U.S. jobs and suppressing wages is continuing to become moot, because robots are replacing foreign workers as well, both here and abroad.

As that second category of workers grew from a minority to the overwhelming majority during the last half of the last century, relatively few of them remained or became successfully unionized—that was left mainly to employees of state and local government, hospitals, hotels, casinos, and show business. As workplaces became smaller and employees more dispersed—or transformed into pseudo-nonemployees, like at Uber and Lyft—the work of organizing workers got harder. But along with the public’s reviving wish for big government to tackle big problems and projects, the organized labor tide may be turning as well. Answering Gallup’s regular binary question in 2019 about approval or disapproval of unions, people were pro-labor by two to one; only a decade ago, the split was about even.


The New Map: Energy, Climate, and the Clash of Nations by Daniel Yergin

"RICO laws" OR "Racketeer Influenced and Corrupt Organizations", 3D printing, 9 dash line, activist fund / activist shareholder / activist investor, addicted to oil, Admiral Zheng, Albert Einstein, American energy revolution, Asian financial crisis, autonomous vehicles, Ayatollah Khomeini, Bakken shale, Bernie Sanders, BRICs, British Empire, carbon tax, circular economy, clean tech, commodity super cycle, company town, coronavirus, COVID-19, decarbonisation, deep learning, Deng Xiaoping, Didi Chuxing, disruptive innovation, distributed generation, Donald Trump, driverless car, Edward Snowden, Elon Musk, energy security, energy transition, failed state, Ford Model T, geopolitical risk, gig economy, global pandemic, global supply chain, green new deal, Greta Thunberg, hydraulic fracturing, Indoor air pollution, Intergovernmental Panel on Climate Change (IPCC), inventory management, James Watt: steam engine, John Zimmer (Lyft cofounder), Kickstarter, LNG terminal, Lyft, Malacca Straits, Malcom McLean invented shipping containers, Masayoshi Son, Masdar, mass incarceration, megacity, megaproject, middle-income trap, Mikhail Gorbachev, mutually assured destruction, new economy, off grid, oil rush, oil shale / tar sands, oil shock, open economy, paypal mafia, peak oil, pension reform, power law, price mechanism, purchasing power parity, RAND corporation, rent-seeking, ride hailing / ride sharing, rolling blackouts, Ronald Reagan, Russian election interference, self-driving car, Silicon Valley, smart cities, social distancing, South China Sea, sovereign wealth fund, Suez crisis 1956, super pumped, supply-chain management, TED Talk, trade route, Travis Kalanick, Twitter Arab Spring, Uber and Lyft, uber lyft, ubercab, UNCLOS, UNCLOS, uranium enrichment, vertical integration, women in the workforce

They would be contractors, not employees. In other words, it’s a BYOC model—Bring Your Own Car. Uber drivers, 60 percent of whom have other jobs, have become prime examples for what became known as the “gig economy.” Both Uber and Lyft also rolled out modern versions of carpooling services that match up a rider with another rider in close proximity headed to nearby destinations. Uber and Lyft rolled forward, opening in city after city. Customers, initially many of them millennials, were quickly won over. In its quest to expand, Uber went to war with local taxicab drivers and owners and transportation regulators, all of whom opposed it as an unregulated taxi company.


pages: 667 words: 149,811

Economic Dignity by Gene Sperling

active measures, Affordable Care Act / Obamacare, antiwork, autism spectrum disorder, autonomous vehicles, basic income, behavioural economics, benefit corporation, Bernie Sanders, Big Tech, Cass Sunstein, collective bargaining, company town, corporate governance, cotton gin, David Brooks, desegregation, Detroit bankruptcy, disinformation, Donald Trump, Double Irish / Dutch Sandwich, driverless car, Elon Musk, employer provided health coverage, Erik Brynjolfsson, Ferguson, Missouri, fulfillment center, full employment, gender pay gap, ghettoisation, gig economy, Gini coefficient, green new deal, guest worker program, Gunnar Myrdal, housing crisis, Ida Tarbell, income inequality, independent contractor, invisible hand, job automation, job satisfaction, labor-force participation, late fees, liberal world order, longitudinal study, low skilled workers, Lyft, Mark Zuckerberg, market fundamentalism, mass incarceration, mental accounting, meta-analysis, minimum wage unemployment, obamacare, offshore financial centre, open immigration, payday loans, Phillips curve, price discrimination, profit motive, race to the bottom, RAND corporation, randomized controlled trial, Richard Thaler, ride hailing / ride sharing, Ronald Reagan, Rosa Parks, Second Machine Age, secular stagnation, shareholder value, Sheryl Sandberg, Silicon Valley, single-payer health, speech recognition, stock buybacks, subprime mortgage crisis, tech worker, TED Talk, The Chicago School, The Future of Employment, The Wealth of Nations by Adam Smith, Toyota Production System, traffic fines, Triangle Shirtwaist Factory, Uber and Lyft, uber lyft, union organizing, universal basic income, W. E. B. Du Bois, War on Poverty, warehouse robotics, working poor, young professional, zero-sum game

As UberX was launching in 2012, of the nearly two million in-home workers like housekeepers, childcare workers, and direct-care aides—overwhelmingly women and a majority people of color—only 12 percent received health insurance from their job, and only 7 percent received a pension plan.14 According to a survey by the National Domestic Workers Alliance, fewer than 2 percent of domestic workers in 2011 received retirement or pension benefits from their primary employer, and only 4 percent received employer-provided health insurance; 65 percent of domestic workers did not have any health insurance.15 Even today, few realize that before the ride-sharing revolution, the taxi drivers that people used for generations rarely had health-care coverage or qualified for unemployment insurance or any help during downturns and recessions.16 For example, a 2007 study of New York City cabdrivers found they were generally classified as independent contractors—just as Uber and Lyft drivers are now—and did not qualify for overtime pay despite typically working more than seventy hours a week. A large majority lacked health insurance, despite substantial risk of on-the-job injuries.17 These facts may not have been easily captured in traditional job growth statistics or GDP measurements, but they mattered to people’s lives.

Not only was she denied maternity leave, but the next day she was fired, and because she was not an employee, she did not have access to unemployment insurance.8 With so much riding on whether you receive a W-2 or a 1099, unions and worker advocates are correct to make the fight over misclassification a top-tier economic battle and insist that millions of gig workers—including most Uber and Lyft drivers—should be classified as employees, as they successfully did in a hard-fought 2019 legislative battle in California.9 This is the right fight under our current structure. Too many workers today get the worst of all worlds. They have neither the true autonomy and flexibility of being their own boss nor the economic benefits and security of being a W-2 employee where at a minimum their employer pays its half of Social Security and Medicare payroll taxes and ensures they are part of the unemployment insurance system.


pages: 215 words: 59,188

Seriously Curious: The Facts and Figures That Turn Our World Upside Down by Tom Standage

"World Economic Forum" Davos, agricultural Revolution, augmented reality, autonomous vehicles, Big Tech, blood diamond, business logic, corporate governance, CRISPR, deep learning, Deng Xiaoping, Donald Trump, Dr. Strangelove, driverless car, Elon Musk, failed state, financial independence, gender pay gap, gig economy, Gini coefficient, high net worth, high-speed rail, income inequality, index fund, industrial robot, Internet of things, invisible hand, it's over 9,000, job-hopping, Julian Assange, life extension, Lyft, M-Pesa, Mahatma Gandhi, manufacturing employment, mega-rich, megacity, Minecraft, mobile money, natural language processing, Nelson Mandela, plutocrats, post-truth, price mechanism, private spaceflight, prosperity theology / prosperity gospel / gospel of success, purchasing power parity, ransomware, reshoring, ride hailing / ride sharing, Ronald Coase, self-driving car, Silicon Valley, Snapchat, South China Sea, speech recognition, stem cell, supply-chain management, transaction costs, Uber and Lyft, uber lyft, undersea cable, US Airways Flight 1549, WikiLeaks, zoonotic diseases

The grim toll of motor-vehicle deaths is widely seen as unavoidable, given that the United States is a large, sprawling country primarily designed around the automobile. But around a third of these deaths has involved drunk drivers, suggesting that there is, in fact, substantial room for improvement. Indeed, it appears that the advent of ride-hailing apps like Uber and Lyft has had a welcome impact on road safety. According to a working paper by Jessica Lynn Peck of the Graduate Centre at the City University of New York, the arrival of Uber in New York City may have helped reduce alcohol-related traffic accidents by 25–35%, as people opt to hail a ride home after a night out, rather than driving themselves.


pages: 207 words: 59,298

The Gig Economy: A Critical Introduction by Jamie Woodcock, Mark Graham

Airbnb, algorithmic management, Amazon Mechanical Turk, autonomous vehicles, barriers to entry, British Empire, business process, business process outsourcing, Californian Ideology, call centre, collective bargaining, commoditize, corporate social responsibility, crowdsourcing, data science, David Graeber, deindustrialization, Didi Chuxing, digital divide, disintermediation, emotional labour, en.wikipedia.org, full employment, future of work, gamification, gender pay gap, gig economy, global value chain, Greyball, independent contractor, informal economy, information asymmetry, inventory management, Jaron Lanier, Jeff Bezos, job automation, knowledge economy, low interest rates, Lyft, mass immigration, means of production, Network effects, new economy, Panopticon Jeremy Bentham, planetary scale, precariat, rent-seeking, RFID, ride hailing / ride sharing, Ronald Reagan, scientific management, self-driving car, sentiment analysis, sharing economy, Silicon Valley, Silicon Valley ideology, TaskRabbit, The Future of Employment, transaction costs, Travis Kalanick, two-sided market, Uber and Lyft, Uber for X, uber lyft, union organizing, women in the workforce, working poor, young professional

This is because, in many locales, the self-employed are not allowed to form trade unions like workers or employees are. In those places, doing so is seen as operating like a price-setting cartel rather than simply providing a means for workers to bargain over their pay. In fact, the US Chamber of Commerce, of which Uber and Lyft are members, has argued in a Seattle court that ‘by allowing drivers to bargain over their pay, which is based on fares received from passengers, the city would permit them to essentially fix prices in violation of federal antitrust law.’10 This measure has been seen as an attempt to prevent the Teamsters from organizing Uber drivers in Seattle.


pages: 864 words: 272,918

Palo Alto: A History of California, Capitalism, and the World by Malcolm Harris

2021 United States Capitol attack, Aaron Swartz, affirmative action, air traffic controllers' union, Airbnb, Alan Greenspan, Alvin Toffler, Amazon Mechanical Turk, Amazon Web Services, Apple II, Apple's 1984 Super Bowl advert, back-to-the-land, bank run, Bear Stearns, Big Tech, Bill Gates: Altair 8800, Black Lives Matter, Bob Noyce, book scanning, British Empire, business climate, California gold rush, Cambridge Analytica, capital controls, Charles Lindbergh, classic study, cloud computing, collective bargaining, colonial exploitation, colonial rule, Colonization of Mars, commoditize, company town, computer age, conceptual framework, coronavirus, corporate personhood, COVID-19, cuban missile crisis, deindustrialization, Deng Xiaoping, desegregation, deskilling, digital map, double helix, Douglas Engelbart, Edward Snowden, Elon Musk, Erlich Bachman, estate planning, European colonialism, Fairchild Semiconductor, financial engineering, financial innovation, fixed income, Frederick Winslow Taylor, fulfillment center, future of work, Garrett Hardin, gentrification, George Floyd, ghettoisation, global value chain, Golden Gate Park, Google bus, Google Glasses, greed is good, hiring and firing, housing crisis, hydraulic fracturing, if you build it, they will come, illegal immigration, immigration reform, invisible hand, It's morning again in America, iterative process, Jeff Bezos, Joan Didion, John Markoff, joint-stock company, Jony Ive, Kevin Kelly, Kickstarter, knowledge worker, land reform, Larry Ellison, Lean Startup, legacy carrier, life extension, longitudinal study, low-wage service sector, Lyft, manufacturing employment, Marc Andreessen, Marc Benioff, Mark Zuckerberg, Marshall McLuhan, Max Levchin, means of production, Menlo Park, Metcalfe’s law, microdosing, Mikhail Gorbachev, military-industrial complex, Monroe Doctrine, Mont Pelerin Society, moral panic, mortgage tax deduction, Mother of all demos, move fast and break things, mutually assured destruction, new economy, Oculus Rift, off grid, oil shale / tar sands, PageRank, PalmPilot, passive income, Paul Graham, paypal mafia, Peter Thiel, pets.com, phenotype, pill mill, platform as a service, Ponzi scheme, popular electronics, power law, profit motive, race to the bottom, radical life extension, RAND corporation, Recombinant DNA, refrigerator car, Richard Florida, ride hailing / ride sharing, rising living standards, risk tolerance, Robert Bork, Robert Mercer, Robert Metcalfe, Ronald Reagan, Salesforce, San Francisco homelessness, Sand Hill Road, scientific management, semantic web, sexual politics, Sheryl Sandberg, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, social web, SoftBank, software as a service, sovereign wealth fund, special economic zone, Stanford marshmallow experiment, Stanford prison experiment, stem cell, Steve Bannon, Steve Jobs, Steve Wozniak, Steven Levy, Stewart Brand, stock buybacks, strikebreaker, Suez canal 1869, super pumped, TaskRabbit, tech worker, Teledyne, telemarketer, the long tail, the new new thing, thinkpad, Thorstein Veblen, Tim Cook: Apple, Tony Fadell, too big to fail, Toyota Production System, Tragedy of the Commons, transcontinental railway, traumatic brain injury, Travis Kalanick, TSMC, Uber and Lyft, Uber for X, uber lyft, ubercab, union organizing, Upton Sinclair, upwardly mobile, urban decay, urban renewal, value engineering, Vannevar Bush, vertical integration, Vision Fund, W. E. B. Du Bois, War on Poverty, warehouse robotics, Wargames Reagan, Washington Consensus, white picket fence, William Shockley: the traitorous eight, women in the workforce, Y Combinator, Y2K, Yogi Berra, éminence grise

Brad Stone, The Upstarts: How Uber, Airbnb, and the Killer Companies of the New Silicon Valley Are Changing the World (New York: Little, Brown, 2017), 329. 15. Rowland Manthorpe, “Forget Uber vs Lyft, the Real Funding Battle Is between Saudi Princes and Canadian Teachers,” Wired UK, October 20, 2017. 16. Therese Poletti, “Uber and Lyft Are Staging a Ridiculous Race for Fake Profits,” MarketWatch, accessed August 5, 2021, https://www.marketwatch.com/story/uber-and-lyft-are-staging-a-ridiculous-race-for-fake-profits-11628205337. 17. Faiz Siddiqui, “Uber, Other Gig Companies Spend Nearly $200 Million to Knock Down an Employment Law They Don’t Like—And It Might Work,” Washington Post, October 26, 2020. 18.

Airbnb undermined the hospitality industry, and the ride-share companies had the same effect on transportation. Instead of eating big-tip lunches at white-cloth restaurants, tech workers ordered fast-casual from an app, perhaps using one to order, another to pay, and a third to deliver. Instead of cartelized cabs and black cars—or state-wage buses and trains—they ordered Ubers and Lyfts. Instacart turned private shopping into a gig job, and soon grocery stores were filled with more low-paid app workers than unionized employees. Meal-kit services like HelloFresh, Plated, and Blue Apron functioned as private-cook time-shares, delivering boxes of prepared ingredients to members’ doors, while DoorDash and Grubhub and others middlemanned takeout deliveries.


pages: 229 words: 61,482

The Gig Economy: The Complete Guide to Getting Better Work, Taking More Time Off, and Financing the Life You Want by Diane Mulcahy

Affordable Care Act / Obamacare, Airbnb, Amazon Mechanical Turk, basic income, Clayton Christensen, cognitive bias, collective bargaining, creative destruction, David Brooks, deliberate practice, digital nomad, diversification, diversified portfolio, fear of failure, financial independence, future of work, gig economy, helicopter parent, Home mortgage interest deduction, housing crisis, independent contractor, job satisfaction, Kickstarter, loss aversion, low interest rates, low skilled workers, Lyft, mass immigration, mental accounting, minimum wage unemployment, mortgage tax deduction, negative equity, passive income, Paul Graham, remote working, risk tolerance, Robert Shiller, seminal paper, Silicon Valley, Snapchat, social contagion, TaskRabbit, TED Talk, the strength of weak ties, Uber and Lyft, uber lyft, universal basic income, wage slave, WeWork, Y Combinator, Zipcar

In the past, contractor attempts to unionize and bargain have been thwarted by invoking antitrust laws. The argument is that contractors who collectively bargain to set common rates are essentially colluding, which violates antitrust laws. However, in December 2015, the Seattle City Council voted to extend collective bargaining rights to Uber and Lyft drivers.16 In March, the U.S. Chamber of Commerce sued the city of Seattle, saying that the ordinance violates antitrust laws.17 California is expected to introduce a similar bill covering independent contractors who work on on-demand platforms. What most of these proposals have in common is that they attempt to improve the current labor market by eliminating an employer’s ability to arbitrage between employees and contractors, and support worker choices about how to work.


pages: 288 words: 64,771

The Captured Economy: How the Powerful Enrich Themselves, Slow Down Growth, and Increase Inequality by Brink Lindsey

Airbnb, Asian financial crisis, bank run, barriers to entry, Bernie Sanders, Build a better mousetrap, Capital in the Twenty-First Century by Thomas Piketty, carbon tax, Carmen Reinhart, Cass Sunstein, collective bargaining, creative destruction, Credit Default Swap, crony capitalism, Daniel Kahneman / Amos Tversky, David Brooks, diversified portfolio, Donald Trump, Edward Glaeser, endogenous growth, experimental economics, experimental subject, facts on the ground, financial engineering, financial innovation, financial intermediation, financial repression, hiring and firing, Home mortgage interest deduction, housing crisis, income inequality, informal economy, information asymmetry, intangible asset, inventory management, invisible hand, Jones Act, Joseph Schumpeter, Kenneth Rogoff, Kevin Kelly, knowledge worker, labor-force participation, Long Term Capital Management, low skilled workers, Lyft, Mark Zuckerberg, market fundamentalism, mass immigration, mass incarceration, medical malpractice, Menlo Park, moral hazard, mortgage debt, Network effects, patent troll, plutocrats, principal–agent problem, regulatory arbitrage, rent control, rent-seeking, ride hailing / ride sharing, Robert Metcalfe, Robert Solow, Ronald Reagan, Savings and loan crisis, Silicon Valley, Silicon Valley ideology, smart cities, software patent, subscription business, tail risk, tech bro, too big to fail, total factor productivity, trade liberalization, tragedy of the anticommons, Tragedy of the Commons, transaction costs, tulip mania, Tyler Cowen, Uber and Lyft, uber lyft, Washington Consensus, white picket fence, winner-take-all economy, women in the workforce

Research shows that surviving new firms are generally more productive than existing firms, while existing firms have higher productivity than those that go out of business. Occupational licensing, by impeding the formation of new businesses, slows down this vital channel of productivity growth. The advent of app-based ridesharing firms like Uber and Lyft, and the furious resistance they often provoke from supporters of the traditional taxicab industry, offer a powerfully vivid illustration of the conflict between occupational licensing and innovation. The quality of taxi services has long been fodder for consumer grumbling, but improvement through competition was thwarted by restrictive taxi licensing and associated anticompetitive regulations.


pages: 257 words: 64,285

The End of Traffic and the Future of Transport: Second Edition by David Levinson, Kevin Krizek

2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, 3D printing, American Society of Civil Engineers: Report Card, autonomous vehicles, barriers to entry, Bay Area Rapid Transit, big-box store, bike sharing, carbon tax, Chris Urmson, collaborative consumption, commoditize, congestion pricing, crowdsourcing, DARPA: Urban Challenge, dematerialisation, driverless car, Dutch auction, Elon Musk, en.wikipedia.org, Ford Model T, Google Hangouts, high-speed rail, Induced demand, intermodal, invention of the printing press, jitney, John Markoff, labor-force participation, Lewis Mumford, lifelogging, Lyft, means of production, megacity, Menlo Park, Network effects, Occam's razor, oil shock, place-making, pneumatic tube, post-work, printed gun, Ray Kurzweil, rent-seeking, ride hailing / ride sharing, Robert Gordon, self-driving car, sharing economy, Silicon Valley, Skype, smart cities, tacit knowledge, techno-determinism, technological singularity, Tesla Model S, the built environment, The future is already here, Thomas Kuhn: the structure of scientific revolutions, transaction costs, transportation-network company, Uber and Lyft, Uber for X, uber lyft, urban renewal, women in the workforce, working-age population, Yom Kippur War, zero-sum game, Zipcar

On the other hand, that might lead to too few drivers "bidding" on prospective customers. 6. Ride 7. Get out of the Car. 8. Check App to rate the driver. Payment is automatic unless you want to change your payment. 190 Source various, including Oxford Dictionaries http://www.oxforddictionaries.com/definition/english/taxi 191 Bregman, Susan (2015-04-23) Uber and Lyft claim carpooling success. TheTransitWire.com. http://www.thetransitwire.com/2015/04/23/uber-lyft-claim-carpooling-success/ 192 DeAmicis, Carmel (2015-07-18) How Didi Kuaidi Plans to Destroy Uber in China. Re/Code. http://recode.net/2015/07/18/how-didi-kuaidi-plans-to-destroy-uber-in-china/ 193 A longer discussion of our skepticism is here: Levinson (2014-12-01) "It is a Small Market After All" Transportationist blog. http://transportationist.org/2014/12/01/its-a-small-market-after-all-es-gibt-einen-kleinen-markt-uber-alles/ 194 French, Sally (2015-07-01) "An 8-year-old's take on 'Uber for kids'" MarketWatch https://secure.marketwatch.com/story/an-8-year-olds-take-on-uber-for-kids-2015-07-01 195 Zimmerman, Eilene (2016-04-13) "Ride-Hailing Start-Ups Compete in ‘Uber for Children’ Niche” New York Times. http://www.nytimes.com/2016/04/14/business/smallbusiness/ride-sharing-start-ups-compete-in-uber-for-children-niche.html 196 Hatmaker, Taylor (2014-09-08) "Taxi service by women for women launching in New York."


pages: 225 words: 70,590

Curbing Traffic: The Human Case for Fewer Cars in Our Lives by Chris Bruntlett, Melissa Bruntlett

15-minute city, An Inconvenient Truth, autonomous vehicles, bike sharing, BIPOC, car-free, coronavirus, COVID-19, emotional labour, en.wikipedia.org, global pandemic, green new deal, Jane Jacobs, lockdown, Lyft, microplastics / micro fibres, New Urbanism, post-work, RAND corporation, ride hailing / ride sharing, self-driving car, social distancing, streetcar suburb, the built environment, Uber and Lyft, uber lyft, urban planning, white flight, working-age population, World Values Survey

And that state of affairs will only be worsened by the (seemingly inevitable) introduction of autonomous cars: “Imagine all of us being in self-driving vehicles. The algorithm of the self-driving car solves all of these conflicts by itself. Imagine doing that for a year, and what that would do to your sense of trust of others.” On a smaller scale, this is already happening with ride-hailing services, such as Uber and Lyft, gradually diminishing our capacity to trust, and willingness to go out of our way to help one another. In both cases, we’re outsourcing these street-level negotiations to an external third party, with little regard of the consequences. One has only to delve into the comment section of an online article to appreciate how important that exposure to social and spatial diversity is in the twenty-first-century city.


pages: 274 words: 63,679

Right of Way: Race, Class, and the Silent Epidemic of Pedestrian Deaths in America by Angie Schmitt

active transport: walking or cycling, autonomous vehicles, car-free, congestion pricing, COVID-19, crossover SUV, desegregation, Donald Trump, Elaine Herzberg, gentrification, global pandemic, high-speed rail, invention of air conditioning, Lyft, megacity, move fast and break things, off-the-grid, Ralph Nader, Richard Florida, Ronald Reagan, self-driving car, Silicon Valley, Skype, subprime mortgage crisis, super pumped, Uber and Lyft, uber lyft, Unsafe at Any Speed, urban planning, urban sprawl, white flight, wikimedia commons

“Uber IPO,” Financial Times, accessed April 1, 2020, https://www.ft.com/content/b3e70e9e-5c4d-11e9-9dde-7aedca0a081a. 17. Eric Newcomer, “Uber Revenue Slows as Quarterly Loss Surges to $1.1 Billion,” Bloomberg Technology, November 14, 2018, https://www.bloomberg.com/news/articles/2018-11-14/uber-revenue-slows-as-quarterly-loss-surges-to-1-1-billion. 18. Graham Rapier, “Uber and Lyft Are Betting on Self-Driving Cars to Become Profitable. But That May Not Happen, New Research from MIT Suggests,” Business Insider, May 29, 2019, https://www.businessinsider.com/uber-lyft-self-driving-taxis-may-not-help-profitability-mit-2019-5. 19. Dan Albert, telephone interview, October 22, 2019. 20.


pages: 268 words: 64,786

Cashing Out: Win the Wealth Game by Walking Away by Julien Saunders, Kiersten Saunders

barriers to entry, basic income, Big Tech, Black Monday: stock market crash in 1987, blockchain, COVID-19, cryptocurrency, death from overwork, digital divide, diversification, do what you love, Donald Trump, estate planning, financial independence, follow your passion, future of work, gig economy, glass ceiling, global pandemic, index fund, job automation, job-hopping, karōshi / gwarosa / guolaosi, lifestyle creep, Lyft, microaggression, multilevel marketing, non-fungible token, off-the-grid, passive income, passive investing, performance metric, ride hailing / ride sharing, risk tolerance, Salesforce, side hustle, TaskRabbit, TED Talk, Uber and Lyft, uber lyft, universal basic income, upwardly mobile, Vanguard fund, work culture , young professional

Last, you may consider online survey companies like swagbucks.com that will pay out a small amount of money in exchange for your time. 2 | The Gig Economy (Mid- to High Urgency, Low Upside) If you are willing to put forth slightly more effort than keystroking, you can explore the gig economy. The gig economy was born after the Great Recession of 2008 as a way to empower people who had extra time to earn money taking on small tasks, powered by technology. This gave rise to ride-sharing companies like Uber and Lyft, grocery delivery companies like Instacart and Amazon Fresh, and handyman services such as taskrabbit.com. It ranks mid- to high from an urgency standpoint because once you sign up, the platforms do almost all the work to get you your first customers. It’s also mid- to high on upside because with most of these platforms you don’t have to sell a product; you just need to make yourself available and focus on providing good service.


pages: 300 words: 76,638

The War on Normal People: The Truth About America's Disappearing Jobs and Why Universal Basic Income Is Our Future by Andrew Yang

3D printing, Airbnb, assortative mating, augmented reality, autonomous vehicles, basic income, Bear Stearns, behavioural economics, Ben Horowitz, Bernie Sanders, call centre, corporate governance, cryptocurrency, data science, David Brooks, DeepMind, Donald Trump, Elon Musk, falling living standards, financial deregulation, financial engineering, full employment, future of work, global reserve currency, income inequality, Internet of things, invisible hand, Jeff Bezos, job automation, John Maynard Keynes: technological unemployment, Khan Academy, labor-force participation, longitudinal study, low skilled workers, Lyft, manufacturing employment, Mark Zuckerberg, megacity, meritocracy, Narrative Science, new economy, passive income, performance metric, post-work, quantitative easing, reserve currency, Richard Florida, ride hailing / ride sharing, risk tolerance, robo advisor, Ronald Reagan, Rutger Bregman, Sam Altman, San Francisco homelessness, self-driving car, shareholder value, Silicon Valley, Simon Kuznets, single-payer health, Stephen Hawking, Steve Ballmer, supercomputer in your pocket, tech worker, technoutopianism, telemarketer, The future is already here, The Wealth of Nations by Adam Smith, traumatic brain injury, Tyler Cowen, Tyler Cowen: Great Stagnation, Uber and Lyft, uber lyft, unemployed young men, universal basic income, urban renewal, warehouse robotics, white flight, winner-take-all economy, Y Combinator

Other autonomous vehicle companies report similar timelines, with 2020 being the first year of mass adoption. And it’s not just those driving trucks who are at risk. A senior official at one of the major ride-sharing companies told me that their internal projections are that half of their rides will be given by autonomous vehicles by 2022. This has the potential to affect about 300,000 Uber and Lyft drivers in the United States. The replacement of drivers will be one of the most dramatic, visible battlegrounds between automation and the human worker. Companies can eliminate the jobs of call center workers, retail clerks, fast food workers, and the like with minimal violence and fuss. Truck drivers will be different.


pages: 345 words: 75,660

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, Avi Goldfarb

Abraham Wald, Ada Lovelace, AI winter, Air France Flight 447, Airbus A320, algorithmic bias, AlphaGo, Amazon Picking Challenge, artificial general intelligence, autonomous vehicles, backpropagation, basic income, Bayesian statistics, Black Swan, blockchain, call centre, Capital in the Twenty-First Century by Thomas Piketty, Captain Sullenberger Hudson, carbon tax, Charles Babbage, classic study, collateralized debt obligation, computer age, creative destruction, Daniel Kahneman / Amos Tversky, data acquisition, data is the new oil, data science, deep learning, DeepMind, deskilling, disruptive innovation, driverless car, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, everywhere but in the productivity statistics, financial engineering, fulfillment center, general purpose technology, Geoffrey Hinton, Google Glasses, high net worth, ImageNet competition, income inequality, information retrieval, inventory management, invisible hand, Jeff Hawkins, job automation, John Markoff, Joseph Schumpeter, Kevin Kelly, Lyft, Minecraft, Mitch Kapor, Moneyball by Michael Lewis explains big data, Nate Silver, new economy, Nick Bostrom, On the Economy of Machinery and Manufactures, OpenAI, paperclip maximiser, pattern recognition, performance metric, profit maximization, QWERTY keyboard, race to the bottom, randomized controlled trial, Ray Kurzweil, ride hailing / ride sharing, Robert Solow, Salesforce, Second Machine Age, self-driving car, shareholder value, Silicon Valley, statistical model, Stephen Hawking, Steve Jobs, Steve Jurvetson, Steven Levy, strong AI, The Future of Employment, the long tail, The Signal and the Noise by Nate Silver, Tim Cook: Apple, trolley problem, Turing test, Uber and Lyft, uber lyft, US Airways Flight 1549, Vernor Vinge, vertical integration, warehouse automation, warehouse robotics, Watson beat the top human players on Jeopardy!, William Langewiesche, Y Combinator, zero-sum game

If you keep trying new foods in the hope of finding some ideal, you are missing out on a lot of good meals. Judgment, whether by deliberation or experimentation, is costly. Knowing Why You Are Doing Something Prediction is at the heart of a move toward self-driving cars and the rise of platforms such as Uber and Lyft: choosing a route between origin and destination. Car navigation devices have been around for a few decades, built into cars themselves or as stand-alone devices. But the proliferation of internet-connected mobile devices has changed the data that providers of navigation software receive. For instance, before Google acquired it, the Israeli startup Waze generated accurate traffic maps by tracking the routes drivers chose.


pages: 241 words: 81,805

The Rise of Carry: The Dangerous Consequences of Volatility Suppression and the New Financial Order of Decaying Growth and Recurring Crisis by Tim Lee, Jamie Lee, Kevin Coldiron

active measures, Alan Greenspan, Asian financial crisis, asset-backed security, backtesting, bank run, Bear Stearns, Bernie Madoff, Bretton Woods, business cycle, capital asset pricing model, Capital in the Twenty-First Century by Thomas Piketty, collapse of Lehman Brothers, collateralized debt obligation, Credit Default Swap, credit default swaps / collateralized debt obligations, cryptocurrency, currency risk, debt deflation, disinformation, distributed ledger, diversification, financial engineering, financial intermediation, Flash crash, global reserve currency, implied volatility, income inequality, inflation targeting, junk bonds, labor-force participation, Long Term Capital Management, low interest rates, Lyft, margin call, market bubble, Money creation, money market fund, money: store of value / unit of account / medium of exchange, moral hazard, negative equity, Network effects, Ponzi scheme, proprietary trading, public intellectual, purchasing power parity, quantitative easing, random walk, rent-seeking, reserve currency, rising living standards, risk free rate, risk/return, sharing economy, short selling, short squeeze, sovereign wealth fund, stock buybacks, tail risk, TikTok, Uber and Lyft, uber lyft, yield curve

But for a period, these established stars can be objectively worse—less attractive, less motivated, delivering a less good performance—than the talented nobodies who are next in line behind them, and yet it will still be rational for the director and producer to prefer to hire the stars. This is what celebrity means. That is what cumulative advantage means. Another example is that of network effects and lock-in in business, economics, and technology: the competition between VHS and Betamax, or between Facebook and Myspace and Friendster, or between Uber and Lyft. Betamax is often considered to have been a better technology, but it lost. Today, a direct competitor to Facebook could never succeed, no matter how much better its technology or design or business plan—because the appeal of a social network is the users who are already there, and those users are on Facebook.


pages: 240 words: 78,436

Open for Business Harnessing the Power of Platform Ecosystems by Lauren Turner Claire, Laure Claire Reillier, Benoit Reillier

Airbnb, Amazon Mechanical Turk, Amazon Web Services, augmented reality, autonomous vehicles, barriers to entry, basic income, benefit corporation, Blitzscaling, blockchain, carbon footprint, Chuck Templeton: OpenTable:, cloud computing, collaborative consumption, commoditize, crowdsourcing, data science, deep learning, Diane Coyle, Didi Chuxing, disintermediation, distributed ledger, driverless car, fake news, fulfillment center, future of work, George Akerlof, independent contractor, intangible asset, Internet of things, Jean Tirole, Jeff Bezos, Kickstarter, knowledge worker, Lean Startup, Lyft, Mark Zuckerberg, market design, Metcalfe’s law, minimum viable product, multi-sided market, Network effects, Paradox of Choice, Paul Graham, peer-to-peer lending, performance metric, Peter Thiel, platform as a service, price discrimination, price elasticity of demand, profit motive, ride hailing / ride sharing, Sam Altman, search costs, self-driving car, seminal paper, shareholder value, sharing economy, Silicon Valley, Skype, smart contracts, Snapchat, software as a service, Steve Jobs, Steve Wozniak, TaskRabbit, the long tail, The Market for Lemons, Tim Cook: Apple, transaction costs, two-sided market, Uber and Lyft, uber lyft, universal basic income, Y Combinator

Yet scale can still create some market issues, and any market with few competitors is bound to attract scrutiny. If competition is really only a click away, the platforms are unlikely to be able to exploit their market power. But in some circumstances, if switching is particularly difficult, or if ‘multihoming’ (using similar platforms such as Uber and Lyft at the same time) is for some reason not possible, it could become a concern. Platforms have far more flexible pricing options By virtue of the fact that platforms attract and market to different customer groups in order to enable them to transact, they benefit from enhanced pricing flexibility that is not available to traditional businesses.


pages: 328 words: 77,877

API Marketplace Engineering: Design, Build, and Run a Platform for External Developers by Rennay Dorasamy

Airbnb, Amazon Web Services, barriers to entry, business logic, business process, butterfly effect, continuous integration, DevOps, digital divide, disintermediation, fault tolerance, if you build it, they will come, information security, Infrastructure as a Service, Internet of things, Jeff Bezos, Kanban, Kubernetes, Lyft, market fragmentation, microservices, minimum viable product, MITM: man-in-the-middle, mobile money, optical character recognition, platform as a service, pull request, ride hailing / ride sharing, speech recognition, the payments system, transaction costs, two-pizza team, Uber and Lyft, uber lyft, underbanked, web application

Thankfully, due to the low price point of devices and the widespread availability of mobile data, large percentages of the world’s population are now connected. This has also given rise to a wave of sharing. Services such as Airbnb allow people to rent out a spare room or an entire home. Ride sharing services like Uber and Lyft are super simple to use and are constantly innovating with options such as low-cost trips and package delivery. This has enabled a paradigm shift as it could allow people to not make long-term investments in property and motor vehicles. Future generations may not need a driver’s license as it may be more economical and practical to use ridesharing than owning a car.


pages: 342 words: 72,927

Transport for Humans: Are We Nearly There Yet? by Pete Dyson, Rory Sutherland

Abraham Maslow, Alan Greenspan, autonomous vehicles, barriers to entry, behavioural economics, bitcoin, Black Swan, Boeing 747, BRICs, butterfly effect, car-free, carbon footprint, Charles Babbage, choice architecture, cognitive bias, cognitive load, coronavirus, COVID-19, Crossrail, Daniel Kahneman / Amos Tversky, decarbonisation, demand response, Diane Coyle, digital map, driverless car, Dunning–Kruger effect, Elon Musk, fake news, functional fixedness, gender pay gap, George Akerlof, gig economy, global supply chain, Goodhart's law, Greta Thunberg, Gödel, Escher, Bach, high-speed rail, hive mind, Hyperloop, Induced demand, informal economy, Isaac Newton, Jane Jacobs, lockdown, longitudinal study, loss aversion, low cost airline, Lyft, megaproject, meta-analysis, Network effects, nudge unit, Ocado, overview effect, Paul Samuelson, performance metric, pneumatic tube, RAND corporation, randomized controlled trial, remote working, ride hailing / ride sharing, risk tolerance, Rory Sutherland, Sapir-Whorf hypothesis, selection bias, Skype, smart transportation, social distancing, South Sea Bubble, systems thinking, TED Talk, the map is not the territory, The Market for Lemons, the scientific method, The Wisdom of Crowds, Thomas Malthus, Uber and Lyft, uber lyft, urban planning, Veblen good, When a measure becomes a target, yield management, zero-sum game

The bad news is that we haven’t been able to get an air bridge, but the good news is that the bus will take you straight to passport control, so you won’t have far to walk. Silver linings need sensitive application, given their potential to be interpreted as spinning a negative as a positive. It’s an upside, not an upgrade. It would be fascinating for operators to collect qualitative and quantitative data to better understand and act on this phenomenon. Uber and Lyft have conducted groundbreaking experiments on passenger behaviour.28 In 2017 they jointly commissioned a team of Chicago-based behavioural economists to design an apology experiment. The companies wanted to discover the best approach to retaining customers who had suffered from delays on a trip they took: a basic apology; a sophisticated apology that conceded the company was at least partly responsible; a discount voucher, with or without an apology; or no apology at all.


pages: 304 words: 80,143

The Autonomous Revolution: Reclaiming the Future We’ve Sold to Machines by William Davidow, Michael Malone

2013 Report for America's Infrastructure - American Society of Civil Engineers - 19 March 2013, agricultural Revolution, Airbnb, AlphaGo, American Society of Civil Engineers: Report Card, Automated Insights, autonomous vehicles, basic income, benefit corporation, bitcoin, blockchain, blue-collar work, Bob Noyce, business process, call centre, Cambridge Analytica, cashless society, citizen journalism, Clayton Christensen, collaborative consumption, collaborative economy, collective bargaining, creative destruction, crowdsourcing, cryptocurrency, deep learning, DeepMind, disintermediation, disruptive innovation, distributed ledger, en.wikipedia.org, Erik Brynjolfsson, fake news, Filter Bubble, Ford Model T, Francis Fukuyama: the end of history, general purpose technology, Geoffrey West, Santa Fe Institute, gig economy, Gini coefficient, high-speed rail, holacracy, Hyperloop, income inequality, industrial robot, Internet of things, invention of agriculture, invention of movable type, invention of the printing press, invisible hand, Jane Jacobs, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, Joseph Schumpeter, license plate recognition, low interest rates, Lyft, Mark Zuckerberg, mass immigration, Network effects, new economy, peer-to-peer lending, QWERTY keyboard, ransomware, Richard Florida, Robert Gordon, robo advisor, Ronald Reagan, Second Machine Age, self-driving car, sharing economy, Shoshana Zuboff, Silicon Valley, Simon Kuznets, Skinner box, Snapchat, speech recognition, streetcar suburb, Stuxnet, surveillance capitalism, synthetic biology, TaskRabbit, The Death and Life of Great American Cities, The Rise and Fall of American Growth, the scientific method, trade route, Turing test, two and twenty, Uber and Lyft, uber lyft, universal basic income, uranium enrichment, urban planning, vertical integration, warehouse automation, zero day, zero-sum game, Zipcar

The sharing economy will have great impact in areas where expensive, privately owned assets are underutilized. Automobiles are one such asset. Privately owned automobiles spend as much as 95 percent of their time parked.42 That means the average car is driven approximately nine hours a week. A number of sharing services have emerged with a goal of monetizing those idle hours. Uber and Lyft are already household names. The twentieth-century relic Zipcar is now owned by Avis.43 New aspirants keep emerging. Getaround allows neighbors to rent cars from other neighbors by the hour, while a competing service, Turo, focuses on longer-term rentals.44 Turo’s website claims that owners can cover their monthly car payments by renting their cars for as few as nine days a month.


pages: 291 words: 90,771

Upscale: What It Takes to Scale a Startup. By the People Who've Done It. by James Silver

Airbnb, augmented reality, Ben Horowitz, Big Tech, blockchain, business process, call centre, credit crunch, crowdsourcing, data science, DeepMind, DevOps, family office, flag carrier, fulfillment center, future of work, Google Hangouts, growth hacking, high net worth, hiring and firing, imposter syndrome, Jeff Bezos, Kickstarter, Lean Startup, Lyft, Mark Zuckerberg, minimum viable product, Network effects, pattern recognition, reality distortion field, ride hailing / ride sharing, Salesforce, Silicon Valley, Skype, Snapchat, software as a service, Uber and Lyft, uber lyft, WeWork, women in the workforce, Y Combinator

The example I’ll give is Airbnb, which is nights booked. So you have a supply side, and you have a demand side. When there’s a successful transaction in the form of night units for Airbnb, that’s the sign of the marketplace working. So anything you do that’s driving up nights booked [or equivalent] is what you want to do for a marketplace. ‘For Uber and Lyft, it’s rides booked. So they don’t say kilometres driven; they could, and then you could incentivise people to do longer rides, but the theory is that ride length is not very elastic, so using these ride-sharing services for more rides is the right reflection of the utility of those apps.’ And while it’s not always immediately obvious what a company’s North Star metric is, says Grol, without knowing it you are going to have a much more challenging time accelerating the growth of your business.


pages: 282 words: 85,658

Ask Your Developer: How to Harness the Power of Software Developers and Win in the 21st Century by Jeff Lawson

Airbnb, AltaVista, Amazon Web Services, barriers to entry, big data - Walmart - Pop Tarts, Big Tech, big-box store, bitcoin, business process, call centre, Chuck Templeton: OpenTable:, cloud computing, coronavirus, COVID-19, create, read, update, delete, cryptocurrency, data science, David Heinemeier Hansson, deep learning, DevOps, Elon Musk, financial independence, global pandemic, global supply chain, Hacker News, Internet of things, Jeff Bezos, Kanban, Lean Startup, loose coupling, Lyft, Marc Andreessen, Marc Benioff, Mark Zuckerberg, microservices, minimum viable product, Mitch Kapor, move fast and break things, Paul Graham, peer-to-peer, ride hailing / ride sharing, risk tolerance, Ruby on Rails, Salesforce, side project, Silicon Valley, Silicon Valley startup, Skype, social distancing, software as a service, software is eating the world, sorting algorithm, Startup school, Steve Ballmer, Steve Jobs, Telecommunications Act of 1996, Toyota Production System, transaction costs, transfer pricing, two-pizza team, Uber and Lyft, uber lyft, ubercab, web application, Y Combinator

Suddenly startups that were great at building software, and had no legacy infrastructure or storefronts to deal with, began springing up. These digital native companies focused their early energy on creating great customer experiences, and they used their software-building expertise to their advantage. The new playing field was digital, and they brought an A-game. Uber and Lyft, without owning a single taxi, in less than five years used software to completely overhaul how people get around cities. Airbnb challenged the global hotel industry without owning the real estate. One of my favorite examples is Casper, the mattress company. Casper makes mattresses and distributes them directly to consumers via their website.


pages: 295 words: 87,204

The Capitalist Manifesto by Johan Norberg

AltaVista, anti-communist, barriers to entry, Berlin Wall, Bernie Sanders, Big Tech, Boris Johnson, business climate, business cycle, capital controls, Capital in the Twenty-First Century by Thomas Piketty, carbon footprint, carbon tax, Charles Babbage, computer age, coronavirus, COVID-19, creative destruction, crony capitalism, data is not the new oil, data is the new oil, David Graeber, DeepMind, degrowth, deindustrialization, Deng Xiaoping, digital map, disinformation, Donald Trump, Elon Musk, energy transition, Erik Brynjolfsson, export processing zone, failed state, Filter Bubble, friendshoring, gig economy, Gini coefficient, global supply chain, Google Glasses, Greta Thunberg, Gunnar Myrdal, Hans Rosling, Hernando de Soto, Howard Zinn, income inequality, independent contractor, index fund, Indoor air pollution, industrial robot, Intergovernmental Panel on Climate Change (IPCC), invention of the printing press, invisible hand, Jeff Bezos, Jeremy Corbyn, job automation, job satisfaction, Joseph Schumpeter, land reform, liberal capitalism, lockdown, low cost airline, low interest rates, low skilled workers, Lyft, manufacturing employment, Mark Zuckerberg, means of production, meta-analysis, Minecraft, multiplanetary species, Naomi Klein, Neal Stephenson, Nelson Mandela, Network effects, open economy, passive income, Paul Graham, Paul Samuelson, payday loans, planned obsolescence, precariat, profit motive, Ralph Nader, RAND corporation, rent control, rewilding, ride hailing / ride sharing, Ronald Coase, Rosa Parks, Salesforce, Sam Bankman-Fried, Shenzhen was a fishing village, Silicon Valley, Simon Kuznets, Snapchat, social distancing, social intelligence, South China Sea, Stephen Fry, Steve Jobs, tech billionaire, The Spirit Level, The Wealth of Nations by Adam Smith, TikTok, Tim Cook: Apple, total factor productivity, trade liberalization, transatlantic slave trade, Tyler Cowen, Uber and Lyft, uber lyft, ultimatum game, Virgin Galactic, Washington Consensus, working-age population, World Values Survey, X Prize, you are the product, zero-sum game

And in that case, the opportunity to choose when and how much you work is a feature and not a bug, even if the salary might look dismally low when compared to a full-time salary.32 Of course, there is a substantial minority who take these jobs because they don’t have anything else, and then the pressure to accept even lousy job opportunities can be great and satisfaction with the job will be low. But if all other opportunities are worse, it means that this job is the least bad. Another word for ‘least bad’ is ‘best’. Studies of Uber and Lyft drivers in the United States consistently show that between 60 and 70 per cent prefer to have the job as a gig over a permanent job. And this is also the wrong question, since the real choice is between being a gig worker and having a smaller chance of permanent employment, because if companies have to pay fixed salaries and benefits, they will not be able to accept anyone, especially not someone who does not pull in a sufficient number of assignments or is not efficient.


pages: 356 words: 91,157

The New Urban Crisis: How Our Cities Are Increasing Inequality, Deepening Segregation, and Failing the Middle Class?and What We Can Do About It by Richard Florida

affirmative action, Airbnb, back-to-the-city movement, basic income, Bernie Sanders, bike sharing, blue-collar work, business climate, Capital in the Twenty-First Century by Thomas Piketty, clean water, Columbine, congestion charging, creative destruction, David Ricardo: comparative advantage, declining real wages, deindustrialization, Donald Trump, East Village, edge city, Edward Glaeser, failed state, Ferguson, Missouri, gentrification, Gini coefficient, Google bus, high net worth, high-speed rail, income inequality, income per capita, industrial cluster, informal economy, Jane Jacobs, jitney, Kitchen Debate, knowledge economy, knowledge worker, land value tax, low skilled workers, Lyft, megacity, megaproject, Menlo Park, mortgage tax deduction, Nate Silver, New Economic Geography, new economy, New Urbanism, occupational segregation, off-the-grid, opioid epidemic / opioid crisis, Paul Graham, plutocrats, RAND corporation, rent control, rent-seeking, restrictive zoning, Richard Florida, rising living standards, Ronald Reagan, secular stagnation, self-driving car, Silicon Valley, SimCity, sovereign wealth fund, streetcar suburb, superstar cities, tech worker, the built environment, The Chicago School, The Death and Life of Great American Cities, the High Line, The Rise and Fall of American Growth, The Theory of the Leisure Class by Thorstein Veblen, The Wealth of Nations by Adam Smith, Thorstein Veblen, trickle-down economics, Tyler Cowen, Uber and Lyft, uber lyft, universal basic income, upwardly mobile, urban decay, urban planning, urban renewal, urban sprawl, white flight, young professional

Cities in other parts of the world, including London, have begun to institute congestion charges, which make drivers pay for their use of busy roads to help alleviate traffic, sprawl, and pollution. New developments like self-driving cars, electric vehicles, and on-demand digital delivery systems, such as Uber and Lyft, will certainly play a big role in the city of the future. But we still need mass transit to provide the connective fiber that will increase clustering and enable the development of a larger number of dense, mixed-use clustered neighborhoods that are affordable to more people. Ultimately, this is not about choosing one form of transportation over another.


Driverless: Intelligent Cars and the Road Ahead by Hod Lipson, Melba Kurman

AI winter, Air France Flight 447, AlphaGo, Amazon Mechanical Turk, autonomous vehicles, backpropagation, barriers to entry, butterfly effect, carbon footprint, Chris Urmson, cloud computing, computer vision, connected car, creative destruction, crowdsourcing, DARPA: Urban Challenge, deep learning, digital map, Donald Shoup, driverless car, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, General Motors Futurama, Geoffrey Hinton, Google Earth, Google X / Alphabet X, Hans Moravec, high net worth, hive mind, ImageNet competition, income inequality, industrial robot, intermodal, Internet of things, Jeff Hawkins, job automation, Joseph Schumpeter, lone genius, Lyft, megacity, Network effects, New Urbanism, Oculus Rift, pattern recognition, performance metric, Philippa Foot, precision agriculture, RFID, ride hailing / ride sharing, Second Machine Age, self-driving car, Silicon Valley, smart cities, speech recognition, statistical model, Steve Jobs, technoutopianism, TED Talk, Tesla Model S, Travis Kalanick, trolley problem, Uber and Lyft, uber lyft, Unsafe at Any Speed, warehouse robotics

Figure 12.2 The most common job in most U.S. states in 2014 was truck driving. Source: National Public Radio Truckers won’t be the only ones whose jobs are taken by driverless vehicles. Taxi drivers and chauffeurs will also find themselves out of work. The profession of taxi driving has already been disrupted by the growing popularity of services such as Uber and Lyft, where anybody with a car can become a cabby. Driverless cars will sound the final death knell to the jobs of roughly 233,700 cabbies and chauffeurs employed in the United States.5 Uber’s CEO, Travis Kalanick, believes that the biggest cost component of running a taxi service is paying the car’s driver.


pages: 323 words: 90,868

The Wealth of Humans: Work, Power, and Status in the Twenty-First Century by Ryan Avent

3D printing, Airbnb, American energy revolution, assortative mating, autonomous vehicles, Bakken shale, barriers to entry, basic income, Bernie Sanders, Big Tech, BRICs, business cycle, call centre, Capital in the Twenty-First Century by Thomas Piketty, Clayton Christensen, cloud computing, collective bargaining, computer age, creative destruction, currency risk, dark matter, David Ricardo: comparative advantage, deindustrialization, dematerialisation, Deng Xiaoping, deskilling, disruptive innovation, Dissolution of the Soviet Union, Donald Trump, Downton Abbey, driverless car, Edward Glaeser, Erik Brynjolfsson, eurozone crisis, everywhere but in the productivity statistics, falling living standards, financial engineering, first square of the chessboard, first square of the chessboard / second half of the chessboard, Ford paid five dollars a day, Francis Fukuyama: the end of history, future of work, general purpose technology, gig economy, global supply chain, global value chain, heat death of the universe, hydraulic fracturing, income inequality, independent contractor, indoor plumbing, industrial robot, intangible asset, interchangeable parts, Internet of things, inventory management, invisible hand, James Watt: steam engine, Jeff Bezos, Jeremy Corbyn, John Maynard Keynes: Economic Possibilities for our Grandchildren, Joseph-Marie Jacquard, knowledge economy, low interest rates, low skilled workers, lump of labour, Lyft, machine translation, manufacturing employment, Marc Andreessen, mass immigration, means of production, new economy, performance metric, pets.com, post-work, price mechanism, quantitative easing, Ray Kurzweil, rent-seeking, reshoring, rising living standards, Robert Gordon, Robert Solow, Ronald Coase, savings glut, Second Machine Age, secular stagnation, self-driving car, sharing economy, Silicon Valley, single-payer health, software is eating the world, supply-chain management, supply-chain management software, tacit knowledge, TaskRabbit, tech billionaire, The Future of Employment, The Nature of the Firm, The Rise and Fall of American Growth, The Spirit Level, The Wealth of Nations by Adam Smith, trade liberalization, transaction costs, Tyler Cowen, Tyler Cowen: Great Stagnation, Uber and Lyft, Uber for X, uber lyft, very high income, warehouse robotics, working-age population

Today’s labour victories, when they occur, tend to come from straightforward issues for which it is easy to muster broad, passionate electoral support: policies such as a rise in the minimum wage or a reduction in immigration. The more complex negotiations that occurred a generation or two ago, when labour had a seat at the political table, tend not to occur any longer. That could change. Drivers for car-sharing firms, such as Uber and Lyft, are battling to unionize. Unionization could eventually come to other sectors of the economy in which large pools of on-demand labour sell their time through market-making apps as well. Unionization would yield uncertain direct benefits to workers within these firms, though. Short-run concessions wrung from ownership might simply accelerate the pace of automation: troublesome labour tends to encourage the deployment of robots, whether the setting is a factory in Shenzhen or a car on California streets.


pages: 307 words: 88,180

AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee

"World Economic Forum" Davos, AI winter, Airbnb, Albert Einstein, algorithmic bias, algorithmic trading, Alignment Problem, AlphaGo, artificial general intelligence, autonomous vehicles, barriers to entry, basic income, bike sharing, business cycle, Cambridge Analytica, cloud computing, commoditize, computer vision, corporate social responsibility, cotton gin, creative destruction, crony capitalism, data science, deep learning, DeepMind, Demis Hassabis, Deng Xiaoping, deskilling, Didi Chuxing, Donald Trump, driverless car, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, fake news, full employment, future of work, general purpose technology, Geoffrey Hinton, gig economy, Google Chrome, Hans Moravec, happiness index / gross national happiness, high-speed rail, if you build it, they will come, ImageNet competition, impact investing, income inequality, informal economy, Internet of things, invention of the telegraph, Jeff Bezos, job automation, John Markoff, Kickstarter, knowledge worker, Lean Startup, low skilled workers, Lyft, machine translation, mandatory minimum, Mark Zuckerberg, Menlo Park, minimum viable product, natural language processing, Neil Armstrong, new economy, Nick Bostrom, OpenAI, pattern recognition, pirate software, profit maximization, QR code, Ray Kurzweil, recommendation engine, ride hailing / ride sharing, risk tolerance, Robert Mercer, Rodney Brooks, Rubik’s Cube, Sam Altman, Second Machine Age, self-driving car, sentiment analysis, sharing economy, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, Skype, SoftBank, Solyndra, special economic zone, speech recognition, Stephen Hawking, Steve Jobs, strong AI, TED Talk, The Future of Employment, Travis Kalanick, Uber and Lyft, uber lyft, universal basic income, urban planning, vertical integration, Vision Fund, warehouse robotics, Y Combinator

Peer-to-peer transactions added a new layer of social data atop those economic transactions. The country’s bike-sharing revolution has carpeted its cities in IoT transportation devices that color in the texture of urban life. They trace tens of millions of commutes, trips to the store, rides home, and first dates, dwarfing companies like Uber and Lyft in both quantity and granularity of data. The numbers for these categories lay bare the China-U.S. gap in these key industries. Recent estimates have Chinese companies outstripping U.S. competitors ten to one in quantity of food deliveries and fifty to one in spending on mobile payments. China’s e-commerce purchases are roughly double the U.S. totals, and the gap is only growing.


pages: 372 words: 94,153

More From Less: The Surprising Story of How We Learned to Prosper Using Fewer Resources – and What Happens Next by Andrew McAfee

back-to-the-land, Bartolomé de las Casas, Berlin Wall, bitcoin, Blitzscaling, Branko Milanovic, British Empire, Buckminster Fuller, call centre, carbon credits, carbon footprint, carbon tax, Charles Babbage, clean tech, clean water, cloud computing, congestion pricing, Corn Laws, creative destruction, crony capitalism, data science, David Ricardo: comparative advantage, decarbonisation, DeepMind, degrowth, dematerialisation, Demis Hassabis, Deng Xiaoping, do well by doing good, Donald Trump, Edward Glaeser, en.wikipedia.org, energy transition, Erik Brynjolfsson, failed state, fake news, Fall of the Berlin Wall, Garrett Hardin, Great Leap Forward, Haber-Bosch Process, Hans Rosling, humanitarian revolution, hydraulic fracturing, income inequality, indoor plumbing, intangible asset, James Watt: steam engine, Jeff Bezos, job automation, John Snow's cholera map, joint-stock company, Joseph Schumpeter, Khan Academy, Landlord’s Game, Louis Pasteur, Lyft, Marc Andreessen, Marc Benioff, market fundamentalism, means of production, Michael Shellenberger, Mikhail Gorbachev, ocean acidification, oil shale / tar sands, opioid epidemic / opioid crisis, Paul Samuelson, peak oil, precision agriculture, price elasticity of demand, profit maximization, profit motive, risk tolerance, road to serfdom, Ronald Coase, Ronald Reagan, Salesforce, Scramble for Africa, Second Machine Age, Silicon Valley, Steve Jobs, Steven Pinker, Stewart Brand, Ted Nordhaus, TED Talk, telepresence, The Wealth of Nations by Adam Smith, Thomas Davenport, Thomas Malthus, Thorstein Veblen, total factor productivity, Tragedy of the Commons, Uber and Lyft, uber lyft, Veblen good, War on Poverty, We are as Gods, Whole Earth Catalog, World Values Survey

Now that we have technologies that let us know where every driver, passenger, piece of cargo, and vehicle is at all times, we can greatly increase the utilization and efficiency of every element of transportation. Renting instead of owning transportation is a likely consequence of this shift. Instead of owning cars, which typically sit idle more than 90 percent of the time, more people will choose to access transportation as needed. We’re already seeing this with car-hailing companies such as Uber and Lyft. These services are quickly spreading around the world, and expanding to cover more modes of transportation, from motorbikes to bicycles to electric scooters. They’re also moving into commercial applications such as long- and short-haul trucking. As this shift continues, we’ll need fewer tons of steel, aluminum, plastic, gasoline, and other resources to move the world’s people and goods around.


pages: 290 words: 90,057

Billion Dollar Brand Club: How Dollar Shave Club, Warby Parker, and Other Disruptors Are Remaking What We Buy by Lawrence Ingrassia

air freight, Airbnb, airport security, Amazon Robotics, augmented reality, barriers to entry, call centre, commoditize, computer vision, data science, fake news, fulfillment center, global supply chain, Hacker News, industrial robot, Jeff Bezos, Kickstarter, Kiva Systems, Lyft, Mark Zuckerberg, minimum viable product, natural language processing, Netflix Prize, rolodex, San Francisco homelessness, side project, Silicon Valley, Silicon Valley startup, Snapchat, Steve Jobs, supply-chain management, Uber and Lyft, uber lyft, warehouse automation, warehouse robotics, WeWork

Among the early Flexe customers at the Ontario warehouse were the online mattress retailers Casper and Lull; Mohawk, the maker of hOmeLabs brand minifridges and other small appliances; Vive, an online medical device store; and Kangaroo, an outdoor appliance e-tailer. The warehouse’s smallest Flexe customer was Cargo, which sells boxes filled with breath mints, lip balm, beef jerky, candy bars, energy drinks, and aspirin (small-ticket items carried by convenience stores) to Uber and Lyft drivers, who can resell them to their riders and make a few extra bucks. Vive occupied about 50,000 square feet, but Cargo initially occupied fewer than 1,000, with the ability to expand to 2,500, an amount of space that would have been unheard of for a large warehouse to provide to a customer in the past.


pages: 318 words: 91,957

The Man Who Broke Capitalism: How Jack Welch Gutted the Heartland and Crushed the Soul of Corporate America—and How to Undo His Legacy by David Gelles

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, 3D printing, accounting loophole / creative accounting, Adam Neumann (WeWork), air traffic controllers' union, Alan Greenspan, Andrei Shleifer, Bear Stearns, benefit corporation, Bernie Sanders, Big Tech, big-box store, Black Monday: stock market crash in 1987, Boeing 737 MAX, call centre, carbon footprint, Carl Icahn, collateralized debt obligation, Colonization of Mars, company town, coronavirus, corporate governance, corporate raider, corporate social responsibility, COVID-19, Credit Default Swap, credit default swaps / collateralized debt obligations, disinformation, Donald Trump, financial deregulation, financial engineering, fulfillment center, gig economy, global supply chain, Gordon Gekko, greed is good, income inequality, inventory management, It's morning again in America, Jeff Bezos, junk bonds, Kaizen: continuous improvement, Kickstarter, Lean Startup, low interest rates, Lyft, manufacturing employment, Mark Zuckerberg, Michael Milken, Neil Armstrong, new economy, operational security, profit maximization, profit motive, public intellectual, QAnon, race to the bottom, Ralph Nader, remote working, Robert Bork, Ronald Reagan, Rutger Bregman, self-driving car, shareholder value, side hustle, Silicon Valley, six sigma, Social Responsibility of Business Is to Increase Its Profits, Steve Ballmer, stock buybacks, subprime mortgage crisis, TaskRabbit, technoutopianism, Travis Kalanick, Uber and Lyft, uber lyft, warehouse robotics, Watson beat the top human players on Jeopardy!, We are the 99%, WeWork, women in the workforce

Even at some of the country’s largest employers, there is a concerted effort to keep workers as close to temps as they can possibly be, with the aspiration of making people as interchangeable as the parts of a machine. The new downsizing takes many forms, depending on the industry. The rise of the gig economy has allowed new multibillion-dollar companies to be built on the backs of a shadow workforce. There are millions of drivers for Uber and Lyft, hundreds of thousands of deliverymen for Instacart and Seamless, and many thousands more offering themselves up for part-time work on sites like TaskRabbit and Upwork. Some of these workers treat the jobs as side hustles, occasional gigs that provide a bit of pocket cash. But for many, gig work is a full-time occupation, only without the security of a steady paycheck, decent benefits, or an employer to hold accountable.


pages: 443 words: 98,113

The Corruption of Capitalism: Why Rentiers Thrive and Work Does Not Pay by Guy Standing

"World Economic Forum" Davos, 3D printing, Airbnb, Alan Greenspan, Albert Einstein, Amazon Mechanical Turk, anti-fragile, Asian financial crisis, asset-backed security, bank run, banking crisis, basic income, Ben Bernanke: helicopter money, Bernie Sanders, Big bang: deregulation of the City of London, Big Tech, bilateral investment treaty, Bonfire of the Vanities, Boris Johnson, Bretton Woods, business cycle, Capital in the Twenty-First Century by Thomas Piketty, carried interest, cashless society, central bank independence, centre right, Clayton Christensen, collapse of Lehman Brothers, collective bargaining, commons-based peer production, credit crunch, crony capitalism, cross-border payments, crowdsourcing, debt deflation, declining real wages, deindustrialization, disruptive innovation, Doha Development Round, Donald Trump, Double Irish / Dutch Sandwich, ending welfare as we know it, eurozone crisis, Evgeny Morozov, falling living standards, financial deregulation, financial innovation, Firefox, first-past-the-post, future of work, Garrett Hardin, gentrification, gig economy, Goldman Sachs: Vampire Squid, Greenspan put, Growth in a Time of Debt, housing crisis, income inequality, independent contractor, information retrieval, intangible asset, invention of the steam engine, investor state dispute settlement, it's over 9,000, James Watt: steam engine, Jeremy Corbyn, job automation, John Maynard Keynes: technological unemployment, labour market flexibility, light touch regulation, Long Term Capital Management, low interest rates, lump of labour, Lyft, manufacturing employment, Mark Zuckerberg, market clearing, Martin Wolf, means of production, megaproject, mini-job, Money creation, Mont Pelerin Society, moral hazard, mortgage debt, mortgage tax deduction, Neil Kinnock, non-tariff barriers, North Sea oil, Northern Rock, nudge unit, Occupy movement, offshore financial centre, oil shale / tar sands, open economy, openstreetmap, patent troll, payday loans, peer-to-peer lending, Phillips curve, plutocrats, Ponzi scheme, precariat, quantitative easing, remote working, rent control, rent-seeking, ride hailing / ride sharing, Right to Buy, Robert Gordon, Ronald Coase, Ronald Reagan, Sam Altman, savings glut, Second Machine Age, secular stagnation, sharing economy, Silicon Valley, Silicon Valley startup, Simon Kuznets, SoftBank, sovereign wealth fund, Stephen Hawking, Steve Ballmer, structural adjustment programs, TaskRabbit, The Chicago School, The Future of Employment, the payments system, The Rise and Fall of American Growth, Thomas Malthus, Thorstein Veblen, too big to fail, Tragedy of the Commons, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, Y Combinator, zero-sum game, Zipcar

A feature of all these companies is that they require full access to their clients’ bank accounts and other personal data, which they use to determine whether to provide loans, what interest rate to charge and for how long to lend. THE PLATFORM DEBT MACHINE The misnamed ‘sharing economy’ is also fostering indebtedness. App-based taxi services, such as Uber and Lyft, have tie-ups with lenders that enable drivers to buy vehicles on credit. Big car companies are becoming involved. In January 2016, General Motors announced a deal with Lyft, under which it would supply rental vehicles to Lyft drivers. In 2015, Ford introduced a pilot scheme in London and six US cities allowing customers buying cars on credit to rent them out through peer-to-peer car rental platform companies.


pages: 441 words: 96,534

Streetfight: Handbook for an Urban Revolution by Janette Sadik-Khan

autonomous vehicles, bike sharing, Boris Johnson, business cycle, call centre, car-free, carbon footprint, clean water, congestion charging, congestion pricing, Cornelius Vanderbilt, crowdsourcing, digital map, Donald Shoup, edge city, Edward Glaeser, en.wikipedia.org, Enrique Peñalosa, fixed-gear, gentrification, high-speed rail, Hyperloop, Induced demand, Jane Jacobs, Lewis Mumford, Loma Prieta earthquake, Lyft, megaproject, New Urbanism, off-the-grid, place-making, self-driving car, sharing economy, the built environment, The Death and Life of Great American Cities, the High Line, transportation-network company, Uber and Lyft, uber lyft, urban decay, urban planning, urban renewal, urban sprawl, walkable city, white flight, Works Progress Administration, Zipcar

This wave of change has landed on our streets, and these changes will advance how we get around cities and use our streets. A smartphone can eliminate the anxiety of getting around, whether you’re in Boston, Bangalore, or Buenos Aires. But these new apps also pose big questions. While new transportation services like Uber and Lyft (called transportation network companies or TNCs in transport-speak), or shared-vehicle services like Car2Go, Zipcar, and Bridj, are using technology to dramatically lower the operating and entry costs for taxi and car services, they raise questions about social equity, safety, and the true costs of these popular services.


pages: 348 words: 97,277

The Truth Machine: The Blockchain and the Future of Everything by Paul Vigna, Michael J. Casey

3D printing, additive manufacturing, Airbnb, altcoin, Amazon Web Services, barriers to entry, basic income, Berlin Wall, Bernie Madoff, Big Tech, bitcoin, blockchain, blood diamond, Blythe Masters, business process, buy and hold, carbon credits, carbon footprint, cashless society, circular economy, cloud computing, computer age, computerized trading, conceptual framework, content marketing, Credit Default Swap, cross-border payments, crowdsourcing, cryptocurrency, cyber-physical system, decentralized internet, dematerialisation, disinformation, disintermediation, distributed ledger, Donald Trump, double entry bookkeeping, Dunbar number, Edward Snowden, Elon Musk, Ethereum, ethereum blockchain, failed state, fake news, fault tolerance, fiat currency, financial engineering, financial innovation, financial intermediation, Garrett Hardin, global supply chain, Hernando de Soto, hive mind, informal economy, information security, initial coin offering, intangible asset, Internet of things, Joi Ito, Kickstarter, linked data, litecoin, longitudinal study, Lyft, M-Pesa, Marc Andreessen, market clearing, mobile money, money: store of value / unit of account / medium of exchange, Network effects, off grid, pets.com, post-truth, prediction markets, pre–internet, price mechanism, profit maximization, profit motive, Project Xanadu, ransomware, rent-seeking, RFID, ride hailing / ride sharing, Ross Ulbricht, Satoshi Nakamoto, self-driving car, sharing economy, Silicon Valley, smart contracts, smart meter, Snapchat, social web, software is eating the world, supply-chain management, Ted Nelson, the market place, too big to fail, trade route, Tragedy of the Commons, transaction costs, Travis Kalanick, Turing complete, Uber and Lyft, uber lyft, unbanked and underbanked, underbanked, universal basic income, Vitalik Buterin, web of trust, work culture , zero-sum game

But it’s worth noting that at the heart of each new Internet application that cuts out some incumbent middleman there has typically been a technology that helps humans deal with their perennial mistrust issues. Who would have thought a decade ago that people would feel comfortable riding in the car of some stranger they’d just discovered on their phones? Well, Uber and Lyft got us over that trust barrier by incorporating a reputation scoring system for both drivers and passengers, one that was only made possible because of the expansion of social networks and communication. Their model showed that if we can resolve our trust issues with technology and give people confidence to transact, those people are willing and able to go into direct exchanges with complete strangers.


pages: 344 words: 96,020

Hacking Growth: How Today's Fastest-Growing Companies Drive Breakout Success by Sean Ellis, Morgan Brown

Airbnb, Amazon Web Services, barriers to entry, behavioural economics, Ben Horowitz, bounce rate, business intelligence, business process, content marketing, correlation does not imply causation, crowdsourcing, dark pattern, data science, DevOps, disruptive innovation, Elon Musk, game design, gamification, Google Glasses, growth hacking, Internet of things, inventory management, iterative process, Jeff Bezos, Khan Academy, Kickstarter, Lean Startup, Lyft, Mark Zuckerberg, market design, minimum viable product, multi-armed bandit, Network effects, Paul Graham, Peter Thiel, Ponzi scheme, recommendation engine, ride hailing / ride sharing, Salesforce, Sheryl Sandberg, side project, Silicon Valley, Silicon Valley startup, Skype, Snapchat, software as a service, Steve Jobs, Steve Jurvetson, subscription business, TED Talk, Travis Kalanick, Uber and Lyft, Uber for X, uber lyft, working poor, Y Combinator, young professional

Or a business in a “winner take all” situation, where it’s likely that one firm will become overwhelmingly dominant (as is often true for network effect businesses such as LinkedIn or WhatsApp), spending a great deal up front to make a land grab and try to lock in dominance may be a brilliant strategy. Or, if a company is running neck and neck with a strong competitor, as is the case with car-service providers Uber and Lyft, there may be no choice but to spend heavily on acquisition efforts. That’s assuming, of course, that the company has the cash on hand to sustain that up-front spending and a solid plan to recoup it down the line. The amount a company should spend on customer acquisition is not a matter of any preordained formula; it’s a function of many variables specific to each company’s business model, competitive situation, and stage of growth.


Calling Bullshit: The Art of Scepticism in a Data-Driven World by Jevin D. West, Carl T. Bergstrom

airport security, algorithmic bias, AlphaGo, Amazon Mechanical Turk, Andrew Wiles, Anthropocene, autism spectrum disorder, bitcoin, Charles Babbage, cloud computing, computer vision, content marketing, correlation coefficient, correlation does not imply causation, crowdsourcing, cryptocurrency, data science, deep learning, deepfake, delayed gratification, disinformation, Dmitri Mendeleev, Donald Trump, Elon Musk, epigenetics, Estimating the Reproducibility of Psychological Science, experimental economics, fake news, Ford Model T, Goodhart's law, Helicobacter pylori, Higgs boson, invention of the printing press, John Markoff, Large Hadron Collider, longitudinal study, Lyft, machine translation, meta-analysis, new economy, nowcasting, opioid epidemic / opioid crisis, p-value, Pluto: dwarf planet, publication bias, RAND corporation, randomized controlled trial, replication crisis, ride hailing / ride sharing, Ronald Reagan, selection bias, self-driving car, Silicon Valley, Silicon Valley startup, social graph, Socratic dialogue, Stanford marshmallow experiment, statistical model, stem cell, superintelligent machines, systematic bias, tech bro, TED Talk, the long tail, the scientific method, theory of mind, Tim Cook: Apple, twin studies, Uber and Lyft, Uber for X, uber lyft, When a measure becomes a target

., et al. “Science, Citation, and Funding.” Science 251 (1991): 1408–11. Tefft, B. C., A. F. Williams, and J. G. Grabowski. “Teen Driver Risk in Relation to Age and Number of Passengers, United States, 2007–2010.” Traffic Injury Prevention 14 (2013): 283–92. Todd W. Schneider (blog). “Taxi, Uber, and Lyft Usage in New York City.” Schneider, Todd. April 5, 2016. http://toddwschneider.com/​posts/​taxi-uber-lyft-usage-new-york-city/. “Truthiness.” Dictionary.com. http://www.dictionary.com/​browse/​truthiness. “Use this Equation to Determine, Diagnose, and Repair Trust.” First Round Review. 2018. http://firstround.com/​review/​use-this-equation-to-determine-diagnose-and-repair-trust/.


pages: 411 words: 98,128

Bezonomics: How Amazon Is Changing Our Lives and What the World's Best Companies Are Learning From It by Brian Dumaine

activist fund / activist shareholder / activist investor, AI winter, Airbnb, Amazon Robotics, Amazon Web Services, Atul Gawande, autonomous vehicles, basic income, Bernie Sanders, Big Tech, Black Swan, call centre, Cambridge Analytica, carbon tax, Carl Icahn, Chris Urmson, cloud computing, corporate raider, creative destruction, Danny Hillis, data science, deep learning, Donald Trump, Elon Musk, Erik Brynjolfsson, Fairchild Semiconductor, fake news, fulfillment center, future of work, gig economy, Glass-Steagall Act, Google Glasses, Google X / Alphabet X, income inequality, independent contractor, industrial robot, Internet of things, Jeff Bezos, job automation, Joseph Schumpeter, Kevin Kelly, Kevin Roose, Lyft, Marc Andreessen, Mark Zuckerberg, military-industrial complex, money market fund, natural language processing, no-fly zone, Ocado, pets.com, plutocrats, race to the bottom, ride hailing / ride sharing, Salesforce, Sand Hill Road, self-driving car, shareholder value, Sheryl Sandberg, Silicon Valley, Silicon Valley startup, Snapchat, speech recognition, Steve Jobs, Stewart Brand, supply-chain management, TED Talk, Tim Cook: Apple, too big to fail, Travis Kalanick, two-pizza team, Uber and Lyft, uber lyft, universal basic income, warehouse automation, warehouse robotics, wealth creators, web application, Whole Earth Catalog, work culture

Nor is Amazon content to fully depend on the local post office or delivery companies such as UPS to move their packages over that crucial last mile from the warehouse to the customer. In 2018, Amazon said it would buy twenty thousand Mercedes vans to launch a program whereby entrepreneurs could, with Amazon’s help, start their own local delivery companies. The company also has a program called Amazon Flex that makes it possible for Uber and Lyft drivers to deliver packages. It’s also experimenting with drone deliveries. It made its first such test delivery in England in 2016 when a drone carried an Amazon Fire TV and a bag of popcorn to a customer near Cambridge. From the time the customer clicked the buy button to the time the drone landed at his home was only thirteen minutes.


pages: 329 words: 100,162

Hype: How Scammers, Grifters, and Con Artists Are Taking Over the Internet―and Why We're Following by Gabrielle Bluestone

Adam Neumann (WeWork), Airbnb, Bellingcat, Bernie Madoff, Bernie Sanders, Big Tech, bitcoin, Black Lives Matter, Burning Man, cashless society, coronavirus, COVID-19, Donald Trump, driverless car, Elon Musk, fake it until you make it, financial thriller, forensic accounting, gig economy, global pandemic, growth hacking, high net worth, hockey-stick growth, hype cycle, Hyperloop, Kevin Roose, lock screen, lockdown, Lyft, Mark Zuckerberg, Masayoshi Son, Mason jar, Menlo Park, Multics, Naomi Klein, Netflix Prize, NetJets, Peter Thiel, placebo effect, post-truth, RFID, ride hailing / ride sharing, Russell Brand, Sand Hill Road, self-driving car, Silicon Valley, Snapchat, social distancing, SoftBank, Steve Jobs, tech billionaire, tech bro, TikTok, Tim Cook: Apple, Travis Kalanick, Uber and Lyft, uber lyft, unpaid internship, upwardly mobile, Vision Fund, WeWork

In a process detailed by the nonprofit consumer advocacy group Public Citizen’s research director Rick Claypool in a 2016 paper, the company would swoop into a city and set up shop, ignoring local regulations and “insisting on the legality of its business.” If officials resisted, the company would mobilize a campaign among their local riders to “save Uber.” The laws they couldn’t skirt, they’d lobby to change. And they’re still doing it: in 2020, Uber and Lyft spent a combined $200 million to pass Prop 22, which exempts them from California’s unconscionable expectations that state employers provide their workers with outrageous benefits like health care and basic labor protections.48 “There is a pattern to Uber’s conflicts with cities,” Claypool noted at the time.


pages: 416 words: 108,370

Hit Makers: The Science of Popularity in an Age of Distraction by Derek Thompson

Airbnb, Albert Einstein, Alexey Pajitnov wrote Tetris, always be closing, augmented reality, Clayton Christensen, data science, Donald Trump, Downton Abbey, Ford Model T, full employment, game design, Golden age of television, Gordon Gekko, hindsight bias, hype cycle, indoor plumbing, industrial cluster, information trail, invention of the printing press, invention of the telegraph, Jeff Bezos, John Snow's cholera map, Kevin Roose, Kodak vs Instagram, linear programming, lock screen, Lyft, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, Mary Meeker, Menlo Park, Metcalfe’s law, Minecraft, Nate Silver, Network effects, Nicholas Carr, out of africa, planned obsolescence, power law, prosperity theology / prosperity gospel / gospel of success, randomized controlled trial, recommendation engine, Robert Gordon, Ronald Reagan, Savings and loan crisis, Silicon Valley, Skype, Snapchat, social contagion, statistical model, Steve Ballmer, Steve Jobs, Steven Levy, Steven Pinker, subscription business, TED Talk, telemarketer, the medium is the message, The Rise and Fall of American Growth, Tyler Cowen, Uber and Lyft, Uber for X, uber lyft, Vilfredo Pareto, Vincenzo Peruggia: Mona Lisa, women in the workforce

(Titanic) or “It’s Toy Story with talking animals!” (The Secret Life of Pets). In Silicon Valley, where venture capitalists also sift through a surfeit of proposals, high-concept pitches are so common that they’re practically a joke. The home rental company Airbnb was once called “eBay for homes.” The on-demand car service companies Uber and Lyft were once considered “Airbnb for cars.” When Uber took off, new start-ups took to branding themselves “Uber for . . .” anything. Creative people often bristle at the suggestion that they have to stoop to market their ideas or dress them in familiar garb. It’s pleasant to think that an idea’s brilliance is self-evident and doesn’t require the theater of marketing.


pages: 343 words: 102,846

Trees on Mars: Our Obsession With the Future by Hal Niedzviecki

"World Economic Forum" Davos, Ada Lovelace, agricultural Revolution, Airbnb, Albert Einstein, Alvin Toffler, Amazon Robotics, anti-communist, big data - Walmart - Pop Tarts, big-box store, business intelligence, Charles Babbage, Colonization of Mars, computer age, crowdsourcing, data science, David Brooks, driverless car, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Evgeny Morozov, Flynn Effect, Ford Model T, Future Shock, Google Glasses, hive mind, Howard Zinn, if you build it, they will come, income inequality, independent contractor, Internet of things, invention of movable type, Jaron Lanier, Jeff Bezos, job automation, John von Neumann, knowledge economy, Kodak vs Instagram, life extension, Lyft, Marc Andreessen, Marc Benioff, Mark Zuckerberg, Marshall McLuhan, Neil Armstrong, One Laptop per Child (OLPC), Peter H. Diamandis: Planetary Resources, Peter Thiel, Pierre-Simon Laplace, Ponzi scheme, precariat, prediction markets, Ralph Nader, randomized controlled trial, Ray Kurzweil, ride hailing / ride sharing, rising living standards, Robert Solow, Ronald Reagan, Salesforce, self-driving car, shareholder value, sharing economy, Silicon Valley, Silicon Valley startup, Skype, Steve Jobs, TaskRabbit, tech worker, technological singularity, technological solutionism, technoutopianism, Ted Kaczynski, TED Talk, Thomas L Friedman, Tyler Cowen, Uber and Lyft, uber lyft, Virgin Galactic, warehouse robotics, working poor

Think of the management software that Starbucks uses to decide who should work when in thousands of stores. Think of the ever-expanding category of hubs that connect people who want something done with people who are willing to do that job for them. These are task brokers like Fiverr and Taskrabbit, or driver-on-demand apps like Uber and Lyft—low-wage, task-based labor hubs that take a cut of every transaction but don’t take much, if any, responsibility for the estimated seventeen million or so Americans who work at least part time as “independent contributors.”81 These workers who race around walking dogs, hanging pictures, and giving rides to the airport don’t know what work at what wage they’ll have next day or next week.


pages: 382 words: 105,819

Zucked: Waking Up to the Facebook Catastrophe by Roger McNamee

"Susan Fowler" uber, "World Economic Forum" Davos, 4chan, Albert Einstein, algorithmic trading, AltaVista, Amazon Web Services, Andy Rubin, barriers to entry, Bernie Sanders, Big Tech, Bill Atkinson, Black Lives Matter, Boycotts of Israel, Brexit referendum, Cambridge Analytica, carbon credits, Cass Sunstein, cloud computing, computer age, cross-subsidies, dark pattern, data is the new oil, data science, disinformation, Donald Trump, Douglas Engelbart, Douglas Engelbart, driverless car, Electric Kool-Aid Acid Test, Elon Musk, fake news, false flag, Filter Bubble, game design, growth hacking, Ian Bogost, income inequality, information security, Internet of things, It's morning again in America, Jaron Lanier, Jeff Bezos, John Markoff, laissez-faire capitalism, Lean Startup, light touch regulation, Lyft, machine readable, Marc Andreessen, Marc Benioff, Mark Zuckerberg, market bubble, Max Levchin, Menlo Park, messenger bag, Metcalfe’s law, minimum viable product, Mother of all demos, move fast and break things, Network effects, One Laptop per Child (OLPC), PalmPilot, paypal mafia, Peter Thiel, pets.com, post-work, profit maximization, profit motive, race to the bottom, recommendation engine, Robert Mercer, Ronald Reagan, Russian election interference, Sand Hill Road, self-driving car, Sheryl Sandberg, Silicon Valley, Silicon Valley startup, Skype, Snapchat, social graph, software is eating the world, Stephen Hawking, Steve Bannon, Steve Jobs, Steven Levy, Stewart Brand, subscription business, TED Talk, The Chicago School, The future is already here, Tim Cook: Apple, two-sided market, Uber and Lyft, Uber for X, uber lyft, Upton Sinclair, vertical integration, WikiLeaks, Yom Kippur War

With a range of new services catering to their needs, delivered by startups of their peers, the hipsters and bros eventually provoked a reaction. Tangible manifestations of their presence, like the luxury buses that took them to jobs at Google, Facebook, Apple, and other companies down in Silicon Valley, drew protests from peeved locals. An explosion of Uber and Lyft vehicles jammed the city’s streets, dramatically increasing commute times. Insensitive blog posts, inappropriate business behavior, and higher housing costs ensured that locals would neither forgive nor forget. * * * — ZUCK ENJOYED THE KIND OF privileged childhood one would expect for a white male whose parents were medical professionals living in a beautiful suburb.


pages: 379 words: 109,223

Frenemies: The Epic Disruption of the Ad Business by Ken Auletta

"World Economic Forum" Davos, Airbnb, Alvin Toffler, AOL-Time Warner, barriers to entry, Bernie Sanders, bike sharing, Boris Johnson, Build a better mousetrap, Burning Man, call centre, Cambridge Analytica, capitalist realism, carbon footprint, cloud computing, commoditize, connected car, content marketing, corporate raider, crossover SUV, data science, digital rights, disintermediation, Donald Trump, driverless car, Elon Musk, fake news, financial engineering, forensic accounting, Future Shock, Google Glasses, Internet of things, Jeff Bezos, Kevin Roose, Khan Academy, Lyft, Mark Zuckerberg, market design, Mary Meeker, Max Levchin, Menlo Park, move fast and break things, Naomi Klein, NetJets, Network effects, pattern recognition, pets.com, race to the bottom, Richard Feynman, ride hailing / ride sharing, Salesforce, Saturday Night Live, self-driving car, sharing economy, Sheryl Sandberg, Shoshana Zuboff, Silicon Valley, Snapchat, Steve Ballmer, Steve Jobs, surveillance capitalism, Susan Wojcicki, The Theory of the Leisure Class by Thorstein Veblen, three-martini lunch, Tim Cook: Apple, transaction costs, Uber and Lyft, uber lyft, Upton Sinclair, éminence grise

They chart for clients: What messages worked? What doesn’t work? Who comes to the store? Who doesn’t come to the store? It becomes, she believes, “a game changer.” Using this data, the brand can make changes to improve the customer experience and convenience, as Warby Parker has done for eyeglasses and Uber and Lyft have done for transit. Unless big agencies learn to shed old habits, to move faster, she believes they are in danger of plunging down the same rabbit hole as most newspapers. * * * ■ ■ ■ Big data excites Laura O’Shaughnessy, as it does Irwin Gotlieb, Martin Sorrell, Carolyn Everson, Michael Kassan, and the entire marketing industry and its clients.


pages: 387 words: 106,753

Why Startups Fail: A New Roadmap for Entrepreneurial Success by Tom Eisenmann

Airbnb, Atul Gawande, autonomous vehicles, Ben Horowitz, Big Tech, bitcoin, Blitzscaling, blockchain, call centre, carbon footprint, Checklist Manifesto, clean tech, conceptual framework, coronavirus, corporate governance, correlation does not imply causation, COVID-19, crowdsourcing, Daniel Kahneman / Amos Tversky, data science, Dean Kamen, drop ship, Elon Musk, fail fast, fundamental attribution error, gig economy, growth hacking, Hyperloop, income inequality, initial coin offering, inventory management, Iridium satellite, Jeff Bezos, Jeff Hawkins, Larry Ellison, Lean Startup, Lyft, Marc Andreessen, margin call, Mark Zuckerberg, minimum viable product, Network effects, nuclear winter, Oculus Rift, PalmPilot, Paul Graham, performance metric, Peter Pan Syndrome, Peter Thiel, reality distortion field, Richard Thaler, ride hailing / ride sharing, risk/return, Salesforce, Sam Altman, Sand Hill Road, side project, Silicon Valley, Silicon Valley startup, Skype, social graph, software as a service, Solyndra, speech recognition, stealth mode startup, Steve Jobs, TED Talk, two-sided market, Uber and Lyft, Uber for X, uber lyft, vertical integration, We wanted flying cars, instead we got 140 characters, WeWork, Y Combinator, young professional, Zenefits

Fab was copied in Europe by Rocket Internet, a Berlin-based incubator that targets successful U.S. startups. Intense rivalry can have nasty consequences for profitability. New entrants often launch with low prices to gain a foothold, and incumbents must respond with price cuts to protect their market share. And if they vie for the same resources—like drivers, in the case of Uber and Lyft—rivals will bid up costs. Quality and customer service problems. Hypergrowth can strain a startup’s operations and contribute to quality problems—especially when the company relies on large numbers of employees in production and customer service. It can be difficult to hire enough employees to staff these functions, and then train them to get the job done right.


pages: 371 words: 107,141

You've Been Played: How Corporations, Governments, and Schools Use Games to Control Us All by Adrian Hon

"hyperreality Baudrillard"~20 OR "Baudrillard hyperreality", 4chan, Adam Curtis, Adrian Hon, Airbnb, Amazon Mechanical Turk, Amazon Web Services, Astronomia nova, augmented reality, barriers to entry, Bellingcat, Big Tech, bitcoin, bread and circuses, British Empire, buy and hold, call centre, computer vision, conceptual framework, contact tracing, coronavirus, corporate governance, COVID-19, crowdsourcing, cryptocurrency, David Graeber, David Sedaris, deep learning, delayed gratification, democratizing finance, deplatforming, disinformation, disintermediation, Dogecoin, electronic logging device, Elon Musk, en.wikipedia.org, Ethereum, fake news, fiat currency, Filter Bubble, Frederick Winslow Taylor, fulfillment center, Galaxy Zoo, game design, gamification, George Floyd, gig economy, GitHub removed activity streaks, Google Glasses, Hacker News, Hans Moravec, Ian Bogost, independent contractor, index fund, informal economy, Jeff Bezos, job automation, jobs below the API, Johannes Kepler, Kevin Kelly, Kevin Roose, Kickstarter, Kiva Systems, knowledge worker, Lewis Mumford, lifelogging, linked data, lockdown, longitudinal study, loss aversion, LuLaRoe, Lyft, Marshall McLuhan, megaproject, meme stock, meta-analysis, Minecraft, moral panic, multilevel marketing, non-fungible token, Ocado, Oculus Rift, One Laptop per Child (OLPC), orbital mechanics / astrodynamics, Parler "social media", passive income, payment for order flow, prisoner's dilemma, QAnon, QR code, quantitative trading / quantitative finance, r/findbostonbombers, replication crisis, ride hailing / ride sharing, Robinhood: mobile stock trading app, Ronald Coase, Rubik’s Cube, Salesforce, Satoshi Nakamoto, scientific management, shareholder value, sharing economy, short selling, short squeeze, Silicon Valley, SimCity, Skinner box, spinning jenny, Stanford marshmallow experiment, Steve Jobs, Stewart Brand, TED Talk, The Nature of the Firm, the scientific method, TikTok, Tragedy of the Commons, transaction costs, Twitter Arab Spring, Tyler Cowen, Uber and Lyft, uber lyft, urban planning, warehouse robotics, Whole Earth Catalog, why are manhole covers round?, workplace surveillance

If you believe the now-disputed ten-thousand-hour rule, popularised by Malcolm Gladwell, in which sustained practice of anything for ten thousand hours leads to world-class expertise, the “world as RPG” metaphor will seem apt.18 Our educational system’s gauntlet of school classes, exams, units, certificates, and degrees feels like earning achievements and levelling up in a video game. The recent shift away from jobs for life toward the gig economy complicates this parallel, but another video game concept—short, mission-based tours of duty—works just as well, as Uber and Lyft have discovered. These comparisons are fun or enlightening when kept in context; less so when they distort thinking. Many RPGs like Dragon Age and Persona 5 now feature romance mechanics, where players can form relationships with NPCs and, through diligent completion of side quests and judicious dialogue choices, can fill a notional (though sometimes literal) romance meter.


pages: 405 words: 112,470

Together by Vivek H. Murthy, M.D.

Airbnb, call centre, cognitive bias, coronavirus, COVID-19, crowdsourcing, death from overwork, gentrification, gig economy, income inequality, index card, karōshi / gwarosa / guolaosi, longitudinal study, Lyft, Mahatma Gandhi, medical residency, meta-analysis, moral hazard, Nelson Mandela, opioid epidemic / opioid crisis, Ralph Waldo Emerson, randomized controlled trial, rent control, ride hailing / ride sharing, Ronald Reagan, sharing economy, Silicon Valley, Silicon Valley startup, Skype, Snapchat, social distancing, social intelligence, stem cell, TED Talk, twin studies, Uber and Lyft, uber lyft

And my village grew in unexpected ways to include people like the staff at Abe’s Café, where I wrote much of this book, who would often give me an extra serving of my favorite tapioca pearls with an encouraging smile when I was on my tenth hour straight of writing. It also included the babysitters, neighbors, and relatives who stepped in to help care for our children before critical deadlines and Uber and Lyft drivers who frequently offered their takes on the book and some of whose stories are included in these pages. In their own beautiful ways, they reminded me often of the healing power of human connection. We really do need one another. My mother-in-law, Sylvia Chen; father-in-law, Yong-Ming Chen; and sister-in-law, Michelle, put up with many visits that involved me writing endlessly at the dining table or in coffee shops on our visits to see them in California.


pages: 413 words: 115,274

Paved Paradise: How Parking Explains the World by Henry Grabar

A Pattern Language, Adam Neumann (WeWork), Airbnb, Albert Einstein, autonomous vehicles, availability heuristic, big-box store, bike sharing, Blue Bottle Coffee, car-free, congestion pricing, coronavirus, COVID-19, digital map, Donald Shoup, edge city, Ferguson, Missouri, Ford Model T, Frank Gehry, General Motors Futurama, gentrification, Google Earth, income inequality, indoor plumbing, Jane Jacobs, Lewis Mumford, Lyft, mandatory minimum, market clearing, megastructure, New Urbanism, parking minimums, power law, remote working, rent control, restrictive zoning, ride hailing / ride sharing, Ronald Reagan, Seaside, Florida, side hustle, Sidewalk Labs, Silicon Valley, SimCity, social distancing, Stop de Kindermoord, streetcar suburb, text mining, the built environment, The Death and Life of Great American Cities, TikTok, traffic fines, Uber and Lyft, uber lyft, upwardly mobile, urban planning, urban renewal, urban sprawl, Victor Gruen, walkable city, WeWork, white flight, Yogi Berra, young professional

The mood at the conference in Orlando in 2019 was one of gentle defiance: Christine Banning, the president of the sixty-eight-year-old trade group, set the tone in an early address: “There is so much in the media ‘Parking is dead,’ ” she cried. “If I see one more report, I don’t know what I’m going to do.” In fact, as Banning spelled out, things were looking pretty sunny for parking that fall: autonomous cars had failed to materialize, Uber and Lyft were still pouring billions of dollars down the drain, millennials were finally buying cars. The pandemic was still six months away. “That normal human life pattern is taking shape,” Banning observed of millennial car buying, “and there’s a bright future ahead of us.” Despite America’s surplus of free parking and Americans’ related hatred for paying for it, commercial parking is a lucrative business because parkers receive a great deal of help on both sides of the ball.


pages: 447 words: 111,991

Exponential: How Accelerating Technology Is Leaving Us Behind and What to Do About It by Azeem Azhar

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, 23andMe, 3D printing, A Declaration of the Independence of Cyberspace, Ada Lovelace, additive manufacturing, air traffic controllers' union, Airbnb, algorithmic management, algorithmic trading, Amazon Mechanical Turk, autonomous vehicles, basic income, Berlin Wall, Bernie Sanders, Big Tech, Bletchley Park, Blitzscaling, Boeing 737 MAX, book value, Boris Johnson, Bretton Woods, carbon footprint, Chris Urmson, Citizen Lab, Clayton Christensen, cloud computing, collective bargaining, computer age, computer vision, contact tracing, contact tracing app, coronavirus, COVID-19, creative destruction, crowdsourcing, cryptocurrency, cuban missile crisis, Daniel Kahneman / Amos Tversky, data science, David Graeber, David Ricardo: comparative advantage, decarbonisation, deep learning, deglobalization, deindustrialization, dematerialisation, Demis Hassabis, Diane Coyle, digital map, digital rights, disinformation, Dissolution of the Soviet Union, Donald Trump, Double Irish / Dutch Sandwich, drone strike, Elon Musk, emotional labour, energy security, Fairchild Semiconductor, fake news, Fall of the Berlin Wall, Firefox, Frederick Winslow Taylor, fulfillment center, future of work, Garrett Hardin, gender pay gap, general purpose technology, Geoffrey Hinton, gig economy, global macro, global pandemic, global supply chain, global value chain, global village, GPT-3, Hans Moravec, happiness index / gross national happiness, hiring and firing, hockey-stick growth, ImageNet competition, income inequality, independent contractor, industrial robot, intangible asset, Jane Jacobs, Jeff Bezos, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, John Maynard Keynes: technological unemployment, John Perry Barlow, Just-in-time delivery, Kickstarter, Kiva Systems, knowledge worker, Kodak vs Instagram, Law of Accelerating Returns, lockdown, low skilled workers, lump of labour, Lyft, manufacturing employment, Marc Benioff, Mark Zuckerberg, megacity, Mitch Kapor, Mustafa Suleyman, Network effects, new economy, NSO Group, Ocado, offshore financial centre, OpenAI, PalmPilot, Panopticon Jeremy Bentham, Peter Thiel, Planet Labs, price anchoring, RAND corporation, ransomware, Ray Kurzweil, remote working, RFC: Request For Comment, Richard Florida, ride hailing / ride sharing, Robert Bork, Ronald Coase, Ronald Reagan, Salesforce, Sam Altman, scientific management, Second Machine Age, self-driving car, Shoshana Zuboff, Silicon Valley, Social Responsibility of Business Is to Increase Its Profits, software as a service, Steve Ballmer, Steve Jobs, Stuxnet, subscription business, synthetic biology, tacit knowledge, TaskRabbit, tech worker, The Death and Life of Great American Cities, The Future of Employment, The Nature of the Firm, Thomas Malthus, TikTok, Tragedy of the Commons, Turing machine, Uber and Lyft, Uber for X, uber lyft, universal basic income, uranium enrichment, vertical integration, warehouse automation, winner-take-all economy, workplace surveillance , Yom Kippur War

Lyft’, Bloomberg Second Measure, 2020 <https://secondmeasure.com/datapoints/rideshare-industry-overview/> [accessed 23 September 2020]. 54 ‘Gig Economy Research’, Gov.uk, 7 February 2018 <https://www.gov.uk/government/publications/gig-economy-research> [accessed 21 September 2020]. 55 Ravi Agrawal, ‘The Hidden Benefits of Uber’, Foreign Policy, 16 July 2018 <https://foreignpolicy.com/2018/07/16/why-india-gives-uber-5-stars-gig-economy-jobs/> [accessed 21 September 2020]. 56 Department for Business, Energy & Industrial Strategy, ‘Gig Economy Research’, Gov.uk, 7 February 2018 <https://www.gov.uk/government/publications/gig-economy-research> [accessed 21 September 2020]. 57 Directorate General for Internal Policies, The Social Protection of Workers in the Platform Economy, Study for the EMPL Committee, IP/A/EMPL/2016-11 (European Parliament, 2017). 58 Nicole Karlis, ‘DoorDash Drivers Make an Average of $1.45 an Hour, Analysis Finds’, Salon, 19 January 2020 <https://www.salon.com/2020/01/19/doordash-drivers-make-an-average-of-145-an-hour-analysis-finds/> [accessed 27 March 2021]. 59 Kate Conger, ‘Uber and Lyft Drivers in California Will Remain Contractors’, New York Times, 4 November 2020 <https://www.nytimes.com/2020/11/04/technology/california-uber-lyft-prop-22.html> [accessed 12 January 2021]. 60 Mary-Ann Russon, ‘Uber Drivers Are Workers Not Self-Employed, Supreme Court Rules’, BBC News, 19 February 2021 <https://www.bbc.com/news/business-56123668> [accessed 29 March 2021]. 61 ‘Judgement: Uber BV and Others (Appellants) v Aslam and Others (Respondents)’, 19 February 2021 <https://www.supremecourt.uk/cases/docs/uksc-2019-0029-judgment.pdf> [accessed 19 March 2021]. 62 ‘Frederick Winslow Taylor: Father of Scientific Management Thinker’, The British Library <https://www.bl.uk/people/frederick-winslow-taylor> [accessed 29 March 2021]. 63 Nikil Saval, Cubed: A Secret History of the Workplace (New York: Anchor Books, 2015), p. 42. 64 Saval, Cubed, p. 56. 65 Alex Rosenblat, Tamara Kneese and danah boyd, Workplace Surveillance (Data & Society Research Institute, 4 January 2017) <https://doi.org/10.31219/osf.io/7ryk4>. 66 ‘In March 2017, the Japanese Government Formulated the Work Style Reform Action Plan.’, Social Innovation, September 2017 <https://social-innovation.hitachi/en/case_studies/ai_happiness/> [accessed 6 October 2020]. 67 Alex Hern, ‘Microsoft Productivity Score Feature Criticised as Workplace Surveillance’, The Guardian, 26 November 2020 <http://www.theguardian.com/technology/2020/nov/26/microsoft-productivity-score-feature-criticised-workplace-surveillance> [accessed 1 April 2021]. 68 Stephen Chen, ‘Chinese Surveillance Programme Mines Data from Workers’ Brains’, South China Morning Post, 28 April 2018 <https://www.scmp.com/news/china/society/article/2143899/forget-facebook-leak-china-mining-data-directly-workers-brains> [accessed 6 October 2020]. 69 Robert Booth, ‘Unilever Saves on Recruiters by Using AI to Assess Job Interviews’, The Guardian, 25 October 2019 <http://www.theguardian.com/technology/2019/oct/25/unilever-saves-on-recruiters-by-using-ai-to-assess-job-interviews> [accessed 6 October 2020]. 70 Chartered Institute of Personnel and Development, ‘Workplace Technology: The Employee Experience’ (CIPD: July 2020) <https://www.cipd.co.uk/Images/workplace-technology-1_tcm18-80853.pdf> [accessed 19 May 2021]. 71 Sarah O’Connor, ‘When Your Boss Is an Algorithm’, Financial Times, 7 September 2016 <https://www.ft.com/content/88fdc58e-754f-11e6-b60a-de4532d5ea35> [accessed 3 August 2020]. 72 Tom Barratt et al., ‘Algorithms Workers Can’t See Are Increasingly Pulling the Management Strings’, Management Today, 25 August 2020 <http://www.managementtoday.co.uk/article/1692636?


pages: 385 words: 112,842

Arriving Today: From Factory to Front Door -- Why Everything Has Changed About How and What We Buy by Christopher Mims

air freight, Airbnb, Amazon Robotics, Amazon Web Services, Apollo 11, augmented reality, autonomous vehicles, big-box store, blue-collar work, Boeing 747, book scanning, business logic, business process, call centre, cloud computing, company town, coronavirus, cotton gin, COVID-19, creative destruction, data science, Dava Sobel, deep learning, dematerialisation, deskilling, digital twin, Donald Trump, easy for humans, difficult for computers, electronic logging device, Elon Musk, Frederick Winslow Taylor, fulfillment center, gentrification, gig economy, global pandemic, global supply chain, guest worker program, Hans Moravec, heat death of the universe, hive mind, Hyperloop, immigration reform, income inequality, independent contractor, industrial robot, interchangeable parts, intermodal, inventory management, Jacquard loom, Jeff Bezos, Jessica Bruder, job automation, John Maynard Keynes: Economic Possibilities for our Grandchildren, Joseph Schumpeter, Kaizen: continuous improvement, Kanban, Kiva Systems, level 1 cache, Lewis Mumford, lockdown, lone genius, Lyft, machine readable, Malacca Straits, Mark Zuckerberg, market bubble, minimum wage unemployment, Nomadland, Ocado, operation paperclip, Panamax, Pearl River Delta, planetary scale, pneumatic tube, polynesian navigation, post-Panamax, random stow, ride hailing / ride sharing, robot derives from the Czech word robota Czech, meaning slave, Rodney Brooks, rubber-tired gantry crane, scientific management, self-driving car, sensor fusion, Shenzhen special economic zone , Shoshana Zuboff, Silicon Valley, six sigma, skunkworks, social distancing, South China Sea, special economic zone, spinning jenny, standardized shipping container, Steve Jobs, supply-chain management, surveillance capitalism, TED Talk, the scientific method, Tim Cook: Apple, Toyota Production System, traveling salesman, Turing test, two-sided market, Uber and Lyft, Uber for X, uber lyft, Upton Sinclair, vertical integration, warehouse automation, warehouse robotics, workplace surveillance

By being a gigantic, highly visible company that offers above-market wages, plus health-care benefits starting on day one, Amazon is able to attract huge numbers of applicants. And because it relentlessly pursues automation to make the jobs of its workers ever simpler and more error-proof, it can attract and productively employ huge numbers of potential associates regardless of their level of skill or education. The genius of ride-sharing companies Uber and Lyft (not to mention delivery start-ups Postmates and Instacart) is that thanks to two-sided marketplaces run by software, route-planning algorithms, and GPS, all you need to know to work for these companies is how to drive a car. In the same way, the genius of Amazon is that all you need to possess in order to work in one of its warehouses are sensorimotor skills most people acquired by the time they’re in grade school.


pages: 396 words: 113,613

Chokepoint Capitalism by Rebecca Giblin, Cory Doctorow

Aaron Swartz, AltaVista, barriers to entry, Berlin Wall, Bernie Sanders, Big Tech, big-box store, Black Lives Matter, book value, collective bargaining, commoditize, coronavirus, corporate personhood, corporate raider, COVID-19, disintermediation, distributed generation, Fairchild Semiconductor, fake news, Filter Bubble, financial engineering, Firefox, forensic accounting, full employment, gender pay gap, George Akerlof, George Floyd, gig economy, Golden age of television, Google bus, greed is good, green new deal, high-speed rail, Hush-A-Phone, independent contractor, index fund, information asymmetry, Jeff Bezos, John Gruber, Kickstarter, laissez-faire capitalism, low interest rates, Lyft, Mark Zuckerberg, means of production, microplastics / micro fibres, Modern Monetary Theory, moral hazard, multi-sided market, Naomi Klein, Network effects, New Journalism, passive income, peak TV, Peter Thiel, precision agriculture, regulatory arbitrage, remote working, rent-seeking, ride hailing / ride sharing, Robert Bork, Saturday Night Live, shareholder value, sharing economy, Silicon Valley, SoftBank, sovereign wealth fund, Steve Jobs, Steven Levy, stock buybacks, surveillance capitalism, Susan Wojcicki, tech bro, tech worker, The Chicago School, The Wealth of Nations by Adam Smith, TikTok, time value of money, transaction costs, trickle-down economics, Turing complete, Uber and Lyft, uber lyft, union organizing, Vanguard fund, vertical integration, WeWork

In California, the fight to enshrine worker misclassification in law hit a peak in 2020, when gig economy companies spent an unprecedented $200 million to pass Proposition 22—outspending nearly all the races for actual seats in the state legislature combined.11 Predictably, California businesses started firing their “essential” workers within weeks of its passage, replacing them with scabs whose boss was an app.12 As we go to press, Uber and Lyft are leading a charge to spend $100 million to put a Prop 22–style measure on the ballot in Massachusetts for the 2022 mid-term elections (one spot of good news: a drafting error in California’s Prop 22 led to a court’s invalidating the measure, though the state Supreme Court was yet to rule on the appeal as we went to press).


pages: 402 words: 126,835

The Job: The Future of Work in the Modern Era by Ellen Ruppel Shell

"Friedman doctrine" OR "shareholder theory", 3D printing, Abraham Maslow, affirmative action, Affordable Care Act / Obamacare, Airbnb, airport security, Albert Einstein, AlphaGo, Amazon Mechanical Turk, basic income, Baxter: Rethink Robotics, big-box store, blue-collar work, Buckminster Fuller, call centre, Capital in the Twenty-First Century by Thomas Piketty, Clayton Christensen, cloud computing, collective bargaining, company town, computer vision, corporate governance, corporate social responsibility, creative destruction, crowdsourcing, data science, deskilling, digital divide, disruptive innovation, do what you love, Donald Trump, Downton Abbey, Elon Musk, emotional labour, Erik Brynjolfsson, factory automation, follow your passion, Frederick Winslow Taylor, future of work, game design, gamification, gentrification, glass ceiling, Glass-Steagall Act, hiring and firing, human-factors engineering, immigration reform, income inequality, independent contractor, industrial research laboratory, industrial robot, invisible hand, It's morning again in America, Jeff Bezos, Jessica Bruder, job automation, job satisfaction, John Elkington, John Markoff, John Maynard Keynes: Economic Possibilities for our Grandchildren, Joseph Schumpeter, Kickstarter, knowledge economy, knowledge worker, Kodak vs Instagram, labor-force participation, low skilled workers, Lyft, manufacturing employment, Marc Andreessen, Mark Zuckerberg, means of production, move fast and break things, new economy, Norbert Wiener, obamacare, offshore financial centre, Paul Samuelson, precariat, Quicken Loans, Ralph Waldo Emerson, risk tolerance, Robert Gordon, Robert Shiller, Rodney Brooks, Ronald Reagan, scientific management, Second Machine Age, self-driving car, shareholder value, sharing economy, Silicon Valley, Snapchat, Steve Jobs, stock buybacks, TED Talk, The Chicago School, The Theory of the Leisure Class by Thorstein Veblen, Thomas L Friedman, Thorstein Veblen, Tim Cook: Apple, Uber and Lyft, uber lyft, universal basic income, urban renewal, Wayback Machine, WeWork, white picket fence, working poor, workplace surveillance , Y Combinator, young professional, zero-sum game

Starting with the economic meltdown and continuing through the recovery, the number of Americans working for contract agencies rose to sixteen million—a faster rate of growth than that of overall employment. Such statistics make clear what reported labor numbers do not: that the economic recovery brought a dramatic rise in temporary contracts (at an average duration of about three months) as well as a growth in independent contractors tied to labor platforms like Uber and Lyft. The pay for these “alternative” gigs typically averages about $17 an hour, compared with the US average of $24.57 an hour. Often they are part time, occasional, or seasonal. In Irving, contract employees working at Amazon received about $8 an hour, minus a portion retained by the employment agency for transportation and check-cashing fees.


pages: 497 words: 123,778

The People vs. Democracy: Why Our Freedom Is in Danger and How to Save It by Yascha Mounk

Abraham Maslow, affirmative action, Affordable Care Act / Obamacare, An Inconvenient Truth, Andrew Keen, basic income, battle of ideas, Black Lives Matter, Boris Johnson, Branko Milanovic, Bretton Woods, business cycle, Capital in the Twenty-First Century by Thomas Piketty, carried interest, Cass Sunstein, central bank independence, centre right, classic study, clean water, cognitive bias, conceptual framework, critical race theory, David Brooks, deindustrialization, demographic transition, desegregation, disinformation, Donald Trump, en.wikipedia.org, Evgeny Morozov, fake news, Francis Fukuyama: the end of history, gentrification, German hyperinflation, gig economy, Gini coefficient, Herbert Marcuse, Home mortgage interest deduction, housing crisis, income inequality, invention of the printing press, invention of the steam engine, investor state dispute settlement, Jeremy Corbyn, job automation, Joseph Schumpeter, land value tax, low skilled workers, Lyft, manufacturing employment, Mark Zuckerberg, mass immigration, microaggression, mortgage tax deduction, Naomi Klein, new economy, offshore financial centre, open borders, Parag Khanna, plutocrats, post-materialism, price stability, ride hailing / ride sharing, rising living standards, Ronald Reagan, Rosa Parks, Rutger Bregman, secular stagnation, sharing economy, Steve Bannon, Thomas L Friedman, Tyler Cowen, Tyler Cowen: Great Stagnation, Uber and Lyft, uber lyft, universal basic income, upwardly mobile, World Values Survey, zero-sum game

For a good overview, see Valerio De Stefano, “The Rise of the ‘Just-in-Time Workforce’: On-Demand Work, Crowdwork, and Labor Protection in the ‘Gig-Economy,’” Comparative Labor Law and Policy Journal 37, no. 3 (2016): 471–503. Note that even robust political approaches to the regulation of the gig economy, like a recent speech by Senator Elizabeth Warren that was widely portrayed as hostile to Uber and Lyft, seek to regulate rather than to fight these new industries. Elizabeth Warren, “Strengthening the Basic Bargain for Workers in the Modern Economy,” Remarks, New American Annual Conference, May 19, 2016, https://www.warren.senate.gov/files/documents/2016-5-19_Warren_New_America_Remarks.pdf. 9.


User Friendly by Cliff Kuang, Robert Fabricant

A Pattern Language, Abraham Maslow, Airbnb, anti-communist, Any sufficiently advanced technology is indistinguishable from magic, Apple II, augmented reality, autonomous vehicles, behavioural economics, Bill Atkinson, Brexit referendum, Buckminster Fuller, Burning Man, business logic, call centre, Cambridge Analytica, Chuck Templeton: OpenTable:, cognitive load, computer age, Daniel Kahneman / Amos Tversky, dark pattern, data science, Donald Trump, Douglas Engelbart, Douglas Engelbart, driverless car, Elaine Herzberg, en.wikipedia.org, fake it until you make it, fake news, Ford Model T, Frederick Winslow Taylor, frictionless, Google Glasses, Internet of things, invisible hand, James Dyson, John Markoff, Jony Ive, knowledge economy, Kodak vs Instagram, Lyft, M-Pesa, Mark Zuckerberg, mobile money, Mother of all demos, move fast and break things, Norbert Wiener, Paradox of Choice, planned obsolescence, QWERTY keyboard, randomized controlled trial, replication crisis, RFID, scientific management, self-driving car, seminal paper, Silicon Valley, skeuomorphism, Skinner box, Skype, smart cities, Snapchat, speech recognition, Steve Jobs, Steve Wozniak, tacit knowledge, Tesla Model S, three-martini lunch, Tony Fadell, Uber and Lyft, Uber for X, uber lyft, Vannevar Bush, women in the workforce

The number was arbitrary, and the goal essentially meaningless. But for the goal to work, it didn’t have to mean anything. It just had to be slightly out of reach—much like how the final reel on a slot machine will slow down to make you think you’re just about to hit three cherries, then slip by at the last moment. Uber and Lyft both tantalize drivers with another feature, which Uber calls “forward dispatch,” that queues up the next drive before the present one has ended—much like Netflix queues up the next episode of a series. “It requires very little effort to binge on Netflix; in fact, it takes more effort to stop than keep going,” noted the scholars Matthew Pittman and Kim Sheehan.


pages: 431 words: 129,071

Selfie: How We Became So Self-Obsessed and What It's Doing to Us by Will Storr

Abraham Maslow, Adam Curtis, Alan Greenspan, Albert Einstein, autonomous vehicles, banking crisis, bitcoin, classic study, computer age, correlation does not imply causation, Donald Trump, Douglas Engelbart, Douglas Engelbart, Elon Musk, en.wikipedia.org, gamification, gig economy, greed is good, intentional community, invisible hand, job automation, John Markoff, Kevin Roose, Kickstarter, Lewis Mumford, longitudinal study, low interest rates, Lyft, Menlo Park, meta-analysis, military-industrial complex, Mont Pelerin Society, mortgage debt, Mother of all demos, Nixon shock, Peter Thiel, prosperity theology / prosperity gospel / gospel of success, QWERTY keyboard, Rainbow Mansion, rising living standards, road to serfdom, Robert Gordon, Ronald Reagan, selective serotonin reuptake inhibitor (SSRI), Sheryl Sandberg, Silicon Valley, Silicon Valley startup, Steve Bannon, Steve Jobs, Steven Levy, Stewart Brand, synthetic biology, tech bro, tech worker, The Future of Employment, The Rise and Fall of American Growth, Tim Cook: Apple, Travis Kalanick, twin studies, Uber and Lyft, uber lyft, War on Poverty, We are as Gods, Whole Earth Catalog

We began talking about the role of government, and collective projects for the common good, and it quickly became clear he was deeply sceptical. ‘It’s kind of a weird thing, when people say we need to do things for the common good,’ he said. ‘Tech companies made it so that I could get a ride anywhere in the city for five dollars, door to door, and split it with two people. San Francisco would be impossible without Uber and Lyft. And then the city come here and fine me because people put graffiti on my windows.’ ‘They fine you?’ I said. I could see why that would be annoying. ‘There are times where some of us have said, “Can you imagine where we did an experiment where Google took over what City Hall does now?”’ he said.


pages: 515 words: 126,820

Blockchain Revolution: How the Technology Behind Bitcoin Is Changing Money, Business, and the World by Don Tapscott, Alex Tapscott

"World Economic Forum" Davos, Airbnb, altcoin, Alvin Toffler, asset-backed security, autonomous vehicles, barriers to entry, behavioural economics, bitcoin, Bitcoin Ponzi scheme, blockchain, Blythe Masters, Bretton Woods, business logic, business process, buy and hold, Capital in the Twenty-First Century by Thomas Piketty, carbon credits, carbon footprint, clean water, cloud computing, cognitive dissonance, commoditize, commons-based peer production, corporate governance, corporate social responsibility, creative destruction, Credit Default Swap, crowdsourcing, cryptocurrency, currency risk, decentralized internet, digital capitalism, disintermediation, disruptive innovation, distributed ledger, do well by doing good, Donald Trump, double entry bookkeeping, driverless car, Edward Snowden, Elon Musk, Erik Brynjolfsson, Ethereum, ethereum blockchain, failed state, fiat currency, financial innovation, Firefox, first square of the chessboard, first square of the chessboard / second half of the chessboard, future of work, Future Shock, Galaxy Zoo, general purpose technology, George Gilder, glass ceiling, Google bus, GPS: selective availability, Hacker News, Hernando de Soto, Higgs boson, holacracy, income inequality, independent contractor, informal economy, information asymmetry, information security, intangible asset, interest rate swap, Internet of things, Jeff Bezos, jimmy wales, Kickstarter, knowledge worker, Kodak vs Instagram, Lean Startup, litecoin, Lyft, M-Pesa, Marc Andreessen, Mark Zuckerberg, Marshall McLuhan, means of production, microcredit, mobile money, money market fund, Neal Stephenson, Network effects, new economy, Oculus Rift, off grid, pattern recognition, peer-to-peer, peer-to-peer lending, peer-to-peer model, performance metric, Peter Thiel, planetary scale, Ponzi scheme, prediction markets, price mechanism, Productivity paradox, QR code, quantitative easing, radical decentralization, ransomware, Ray Kurzweil, renewable energy credits, rent-seeking, ride hailing / ride sharing, Ronald Coase, Ronald Reagan, Salesforce, Satoshi Nakamoto, search costs, Second Machine Age, seigniorage, self-driving car, sharing economy, Silicon Valley, Skype, smart contracts, smart grid, Snow Crash, social graph, social intelligence, social software, standardized shipping container, Stephen Hawking, Steve Jobs, Steve Wozniak, Stewart Brand, supply-chain management, systems thinking, TaskRabbit, TED Talk, The Fortune at the Bottom of the Pyramid, The Nature of the Firm, The Soul of a New Machine, The Wisdom of Crowds, transaction costs, Turing complete, Turing test, Tyler Cowen, Uber and Lyft, uber lyft, unbanked and underbanked, underbanked, unorthodox policies, vertical integration, Vitalik Buterin, wealth creators, X Prize, Y2K, Yochai Benkler, Zipcar

Blockchain technology will accelerate this process. As the Internet of Things takes hold, these trends will go into hyperdrive. THE FUTURE: FROM UBER TO SUBER We’ve covered a lot of ground in this chapter. Now let’s pull all the strands of innovation together in just one scenario. Consider service aggregators like Uber and Lyft. Uber is an app-based ride-sharing network of drivers who are willing to give other people a lift for a fee. To use Uber, you download the Uber app, create an account, and provide Uber with your credit card information. When you use the app to request a car, it asks you to select the type of car you want and marks your location on a map.


pages: 504 words: 129,087

The Ones We've Been Waiting For: How a New Generation of Leaders Will Transform America by Charlotte Alter

"Hurricane Katrina" Superdome, "World Economic Forum" Davos, 4chan, affirmative action, Affordable Care Act / Obamacare, basic income, Berlin Wall, Bernie Sanders, Big Tech, Black Lives Matter, carbon footprint, carbon tax, clean water, collective bargaining, Columbine, corporate personhood, correlation does not imply causation, Credit Default Swap, crowdsourcing, data science, David Brooks, deepfake, deplatforming, disinformation, Donald Trump, double helix, East Village, ending welfare as we know it, fake news, Fall of the Berlin Wall, feminist movement, Ferguson, Missouri, financial deregulation, Francis Fukuyama: the end of history, gentrification, gig economy, glass ceiling, Glass-Steagall Act, Google Hangouts, green new deal, Greta Thunberg, housing crisis, illegal immigration, immigration reform, income inequality, Intergovernmental Panel on Climate Change (IPCC), job-hopping, Kevin Kelly, knowledge economy, Lyft, mandatory minimum, Marc Andreessen, Mark Zuckerberg, mass incarceration, McMansion, medical bankruptcy, microaggression, move fast and break things, Nate Silver, obamacare, Occupy movement, opioid epidemic / opioid crisis, passive income, pre–internet, race to the bottom, RAND corporation, Ronald Reagan, sexual politics, Sheryl Sandberg, side hustle, Silicon Valley, single-payer health, Snapchat, Social Justice Warrior, Steve Bannon, TaskRabbit, tech bro, too big to fail, Uber and Lyft, uber lyft, universal basic income, unpaid internship, We are the 99%, white picket fence, working poor, Works Progress Administration

When big purchases such as homes and cars were out of the question, many millennials figured they might as well spend their money on things like specialty cronuts and fancy coffees. They tended to prefer experiences over possessions. And a generation steeped in social networks became increasingly comfortable renting things instead of owning them: millennials rented rides (with Uber and Lyft), rented clothes (through Rent The Runway), and rented labor (through TaskRabbit). They also began to look to the gig economy for side hustles to supplement their meager incomes. By 2018, more than 40 percent of eighteen- to thirty-four-year-olds worked as freelancers. For almost half of the largest generation of workers, the traditional work structure that had defined twentieth-century professional life just wasn’t available anymore.


pages: 475 words: 134,707

The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health--And How We Must Adapt by Sinan Aral

Airbnb, Albert Einstein, algorithmic bias, AlphaGo, Any sufficiently advanced technology is indistinguishable from magic, AOL-Time Warner, augmented reality, behavioural economics, Bernie Sanders, Big Tech, bitcoin, Black Lives Matter, Cambridge Analytica, carbon footprint, Cass Sunstein, computer vision, contact tracing, coronavirus, correlation does not imply causation, COVID-19, crowdsourcing, cryptocurrency, data science, death of newspapers, deep learning, deepfake, digital divide, digital nomad, disinformation, disintermediation, Donald Trump, Drosophila, Edward Snowden, Elon Musk, en.wikipedia.org, end-to-end encryption, Erik Brynjolfsson, experimental subject, facts on the ground, fake news, Filter Bubble, George Floyd, global pandemic, hive mind, illegal immigration, income inequality, Kickstarter, knowledge worker, lockdown, longitudinal study, low skilled workers, Lyft, Mahatma Gandhi, Mark Zuckerberg, Menlo Park, meta-analysis, Metcalfe’s law, mobile money, move fast and break things, multi-sided market, Nate Silver, natural language processing, Neal Stephenson, Network effects, performance metric, phenotype, recommendation engine, Robert Bork, Robert Shiller, Russian election interference, Second Machine Age, seminal paper, sentiment analysis, shareholder value, Sheryl Sandberg, skunkworks, Snapchat, social contagion, social distancing, social graph, social intelligence, social software, social web, statistical model, stem cell, Stephen Hawking, Steve Bannon, Steve Jobs, Steve Jurvetson, surveillance capitalism, Susan Wojcicki, Telecommunications Act of 1996, The Chicago School, the strength of weak ties, The Wisdom of Crowds, theory of mind, TikTok, Tim Cook: Apple, Uber and Lyft, uber lyft, WikiLeaks, work culture , Yogi Berra

People who have had average experiences aren’t compelled to review them. So ratings oversample good and bad experiences and sample good experiences at a higher rate than bad ones. Another contributing factor occurs when we agree to mutually beneficial outcomes with our transaction partners. For example, a simple trick enables riders and drivers on Uber and Lyft to collude to give each other good ratings. As you’re leaving an Uber, you ask, “Five for five?” meaning “I’ll give you five stars if you return the favor,” a practice that contributes to ratings inflation. Finally, as we saw in our ratings experiment, social influence bias favors positive herding over negative herding.


pages: 524 words: 130,909

The Contrarian: Peter Thiel and Silicon Valley's Pursuit of Power by Max Chafkin

3D printing, affirmative action, Airbnb, anti-communist, bank run, Bernie Sanders, Big Tech, bitcoin, Black Lives Matter, Black Monday: stock market crash in 1987, Blitzscaling, Boeing 747, borderless world, Cambridge Analytica, charter city, cloud computing, cognitive dissonance, Cornelius Vanderbilt, coronavirus, COVID-19, Credit Default Swap, cryptocurrency, David Brooks, David Graeber, DeepMind, digital capitalism, disinformation, don't be evil, Donald Trump, driverless car, Electric Kool-Aid Acid Test, Elon Musk, Ethereum, Extropian, facts on the ground, Fairchild Semiconductor, fake news, Ferguson, Missouri, Frank Gehry, Gavin Belson, global macro, Gordon Gekko, Greyball, growth hacking, guest worker program, Hacker News, Haight Ashbury, helicopter parent, hockey-stick growth, illegal immigration, immigration reform, Internet Archive, Jeff Bezos, John Markoff, Kevin Roose, Kickstarter, Larry Ellison, life extension, lockdown, low interest rates, Lyft, Marc Andreessen, Mark Zuckerberg, Maui Hawaii, Max Levchin, Menlo Park, military-industrial complex, moral panic, move fast and break things, Neal Stephenson, Nelson Mandela, Network effects, off grid, offshore financial centre, oil shale / tar sands, open borders, operational security, PalmPilot, Paris climate accords, Patri Friedman, paypal mafia, Peter Gregory, Peter Thiel, pets.com, plutocrats, Ponzi scheme, prosperity theology / prosperity gospel / gospel of success, public intellectual, QAnon, quantitative hedge fund, quantitative trading / quantitative finance, randomized controlled trial, regulatory arbitrage, Renaissance Technologies, reserve currency, ride hailing / ride sharing, risk tolerance, Robinhood: mobile stock trading app, Ronald Reagan, Sam Altman, Sand Hill Road, self-driving car, sharing economy, Sheryl Sandberg, Silicon Valley, Silicon Valley billionaire, Silicon Valley ideology, Silicon Valley startup, skunkworks, social distancing, software is eating the world, sovereign wealth fund, Steve Bannon, Steve Jobs, Steven Levy, Stewart Brand, surveillance capitalism, TaskRabbit, tech billionaire, tech worker, TechCrunch disrupt, techlash, technology bubble, technoutopianism, Ted Kaczynski, TED Talk, the new new thing, the scientific method, Tim Cook: Apple, transaction costs, Travis Kalanick, Tyler Cowen, Uber and Lyft, uber lyft, Upton Sinclair, Vitalik Buterin, We wanted flying cars, instead we got 140 characters, Whole Earth Catalog, WikiLeaks, William Shockley: the traitorous eight, Y Combinator, Y2K, yellow journalism, Zenefits

But, of course, Airbnb and Lyft also had implications beyond neighborliness. They were projects designed to reshape labor markets, removing the protections that workers had enjoyed since the New Deal, which was among the worst developments in American political history, as far as Thiel was concerned. Uber and Lyft drivers, TaskRabbit and Postmates workers, and the part-time hoteliers of Airbnb were not employees and couldn’t be by definition. That meant the app companies they worked for—Thiel’s portfolio companies—were under no obligation to provide for their health insurance or retirement or to negotiate with unions that represented them.


pages: 439 words: 131,081

The Chaos Machine: The Inside Story of How Social Media Rewired Our Minds and Our World by Max Fisher

2021 United States Capitol attack, 4chan, A Declaration of the Independence of Cyberspace, Airbnb, Bellingcat, Ben Horowitz, Bernie Sanders, Big Tech, Bill Gates: Altair 8800, bitcoin, Black Lives Matter, call centre, centre right, cloud computing, Comet Ping Pong, Computer Lib, coronavirus, COVID-19, crisis actor, crowdsourcing, dark pattern, data science, deep learning, deliberate practice, desegregation, disinformation, domesticated silver fox, Donald Trump, Douglas Engelbart, Douglas Engelbart, end-to-end encryption, fake news, Filter Bubble, Future Shock, game design, gamification, George Floyd, growth hacking, Hacker Conference 1984, Hacker News, hive mind, illegal immigration, Jeff Bezos, John Perry Barlow, Jon Ronson, Joseph Schumpeter, Julian Assange, Kevin Roose, lockdown, Lyft, Marc Andreessen, Mark Zuckerberg, Max Levchin, military-industrial complex, Oklahoma City bombing, Parler "social media", pattern recognition, Paul Graham, Peter Thiel, profit maximization, public intellectual, QAnon, recommendation engine, ride hailing / ride sharing, Rutger Bregman, Saturday Night Live, Sheryl Sandberg, side project, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, Snapchat, social distancing, Social Justice Warrior, social web, Startup school, Stephen Hawking, Steve Bannon, Steve Jobs, Steve Wozniak, Steven Levy, Stewart Brand, Susan Wojcicki, tech billionaire, tech worker, Ted Nelson, TED Talk, TikTok, Uber and Lyft, uber lyft, Whole Earth Catalog, WikiLeaks, Y Combinator

If governments or journalists objected, it was just the old incumbents clinging to authority that was no longer theirs. This sense of divine mission drove the angel investors of Generation PayPal who selected the startups and founders to remake the world around their vision. They called it disrupting incumbents. Uber and Lyft would not just offer a new way to hail taxis, they would abolish and replace the old one. Airbnb would disrupt short-term housing. All three were PayPal alumni investees. Many others pursued the same violent displacement. Amazon and physical retail, Napster and music. Only a few, like Thiel, seriously suggested doing to global governance what Uber had done to ridesharing.


pages: 598 words: 134,339

Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World by Bruce Schneier

23andMe, Airbnb, airport security, AltaVista, Anne Wojcicki, AOL-Time Warner, augmented reality, behavioural economics, Benjamin Mako Hill, Black Swan, Boris Johnson, Brewster Kahle, Brian Krebs, call centre, Cass Sunstein, Chelsea Manning, citizen journalism, Citizen Lab, cloud computing, congestion charging, data science, digital rights, disintermediation, drone strike, Eben Moglen, Edward Snowden, end-to-end encryption, Evgeny Morozov, experimental subject, failed state, fault tolerance, Ferguson, Missouri, Filter Bubble, Firefox, friendly fire, Google Chrome, Google Glasses, heat death of the universe, hindsight bias, informal economy, information security, Internet Archive, Internet of things, Jacob Appelbaum, James Bridle, Jaron Lanier, John Gilmore, John Markoff, Julian Assange, Kevin Kelly, Laura Poitras, license plate recognition, lifelogging, linked data, Lyft, Mark Zuckerberg, moral panic, Nash equilibrium, Nate Silver, national security letter, Network effects, Occupy movement, operational security, Panopticon Jeremy Bentham, payday loans, pre–internet, price discrimination, profit motive, race to the bottom, RAND corporation, real-name policy, recommendation engine, RFID, Ross Ulbricht, satellite internet, self-driving car, Shoshana Zuboff, Silicon Valley, Skype, smart cities, smart grid, Snapchat, social graph, software as a service, South China Sea, sparse data, stealth mode startup, Steven Levy, Stuxnet, TaskRabbit, technological determinism, telemarketer, Tim Cook: Apple, transaction costs, Uber and Lyft, uber lyft, undersea cable, unit 8200, urban planning, Wayback Machine, WikiLeaks, workplace surveillance , Yochai Benkler, yottabyte, zero day

We used to pay with coins at a tollbooth, subway turnstile, or parking meter. Now we use automatic payment systems, such as EZPass, that are connected to our license plate number and credit card. Taxis used to be cash-only. Then we started paying by credit card. Now we’re using our smartphones to access networked taxi systems like Uber and Lyft, which produce data records of the transaction, plus our pickup and drop-off locations. With a few specific exceptions, computers are now everywhere we engage in commerce and most places we engage with our friends. Last year, when my refrigerator broke, the serviceman replaced the computer that controls it.


pages: 655 words: 156,367

The Rise and Fall of the Neoliberal Order: America and the World in the Free Market Era by Gary Gerstle

2021 United States Capitol attack, A Declaration of the Independence of Cyberspace, affirmative action, Affordable Care Act / Obamacare, air traffic controllers' union, Airbnb, Alan Greenspan, Alvin Toffler, anti-communist, AOL-Time Warner, Bear Stearns, behavioural economics, Bernie Sanders, Big Tech, Black Lives Matter, blue-collar work, borderless world, Boris Johnson, Brexit referendum, British Empire, Broken windows theory, business cycle, Capital in the Twenty-First Century by Thomas Piketty, Cass Sunstein, collective bargaining, Cornelius Vanderbilt, coronavirus, COVID-19, creative destruction, crony capitalism, cuban missile crisis, David Brooks, David Graeber, death from overwork, defund the police, deindustrialization, democratizing finance, Deng Xiaoping, desegregation, Dissolution of the Soviet Union, Donald Trump, Electric Kool-Aid Acid Test, European colonialism, Ferguson, Missouri, financial deregulation, financial engineering, Francis Fukuyama: the end of history, Frederick Winslow Taylor, full employment, future of work, Future Shock, George Floyd, George Gilder, gig economy, Glass-Steagall Act, global supply chain, green new deal, Greenspan put, guns versus butter model, Haight Ashbury, Henry Ford's grandson gave labor union leader Walter Reuther a tour of the company’s new, automated factory…, Ida Tarbell, immigration reform, informal economy, invention of the printing press, invisible hand, It's morning again in America, Jeff Bezos, John Perry Barlow, Kevin Kelly, Kitchen Debate, low interest rates, Lyft, manufacturing employment, market fundamentalism, Martin Wolf, mass incarceration, Menlo Park, microaggression, Mikhail Gorbachev, military-industrial complex, millennium bug, Modern Monetary Theory, money market fund, Mont Pelerin Society, mortgage debt, mutually assured destruction, Naomi Klein, neoliberal agenda, new economy, New Journalism, Northern Rock, obamacare, Occupy movement, oil shock, open borders, Peter Thiel, Philip Mirowski, Powell Memorandum, precariat, price stability, public intellectual, Ralph Nader, Robert Bork, Ronald Reagan, scientific management, Seymour Hersh, sharing economy, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, social distancing, Steve Bannon, Steve Jobs, Stewart Brand, Strategic Defense Initiative, super pumped, technoutopianism, Telecommunications Act of 1996, The Bell Curve by Richard Herrnstein and Charles Murray, The Chicago School, The Rise and Fall of American Growth, The Wealth of Nations by Adam Smith, Thomas L Friedman, too big to fail, Uber and Lyft, uber lyft, union organizing, urban decay, urban renewal, War on Poverty, Washington Consensus, We are all Keynesians now, We are the 99%, white flight, Whole Earth Catalog, WikiLeaks, women in the workforce, Works Progress Administration, Y2K, Yom Kippur War

Wired, September 14, 2018, https://www.wired.co.uk/article/what-is-the-gig-economy-meaning-definition-why-is-it-called-gig-economy, accessed September 8, 2021; Jill Lepore, “What’s Wrong with the Way We Work,” New Yorker, January 11, 2021, https://www.newyorker.com/magazine/2021/01/18/whats-wrong-with-the-way-we-work, accessed June 28, 2021; E. Tammy Kim, “The Gig Economy Is Coming for Your Job,” New York Times, January 10, 2020, https://www.nytimes.com/2020/01/10/opinion/sunday/gig-economy-unemployment-automation.html, accessed September 8, 2021; Aarian Marshall, “With $200 Million, Uber and Lyft Write Their Own Labor Law,” Wired, April 11, 2020, https://www.wired.com/story/200-million-uber-lyft-write-own-labor-law/, accessed September 8, 2021. For the origins of Uber and Airbnb specifically, see Brad Stone, The Upstarts: Uber, Airbnb and the Battle for the New Silicon Valley (London: Corgi, 2018); Leigh Gallagher, The Airbnb Story: How to Disrupt an Industry, Make Billions of Dollars . . . and Plenty of Enemies (London: Virgin Books, 2018); Mike Isaac, Super Pumped: The Battle for Uber (New York: W.


pages: 569 words: 165,510

There Is Nothing for You Here: Finding Opportunity in the Twenty-First Century by Fiona Hill

2021 United States Capitol attack, active measures, Affordable Care Act / Obamacare, algorithmic bias, barriers to entry, Berlin Wall, Bernie Sanders, Big Tech, Black Lives Matter, blue-collar work, Boris Johnson, Brexit referendum, British Empire, business climate, call centre, collective bargaining, company town, coronavirus, COVID-19, crony capitalism, cuban missile crisis, David Brooks, deindustrialization, desegregation, digital divide, disinformation, Dissolution of the Soviet Union, Donald Trump, Fall of the Berlin Wall, financial independence, first-past-the-post, food desert, gender pay gap, gentrification, George Floyd, glass ceiling, global pandemic, Great Leap Forward, housing crisis, illegal immigration, imposter syndrome, income inequality, indoor plumbing, industrial cluster, industrial research laboratory, informal economy, Jeff Bezos, Jeremy Corbyn, Kickstarter, knowledge economy, lockdown, low skilled workers, Lyft, Martin Wolf, mass immigration, meme stock, Mikhail Gorbachev, new economy, oil shock, opioid epidemic / opioid crisis, Own Your Own Home, Paris climate accords, pension reform, QAnon, ransomware, restrictive zoning, ride hailing / ride sharing, Right to Buy, Ronald Reagan, self-driving car, Silicon Valley, single-payer health, statistical model, Steve Bannon, The Chicago School, TikTok, transatlantic slave trade, Uber and Lyft, uber lyft, University of East Anglia, urban decay, urban planning, Washington Consensus, WikiLeaks, Winter of Discontent, women in the workforce, working poor, Yom Kippur War, young professional

Service jobs that depended directly on consumer spending by America’s affluent were dramatically cut by wealthy households forgoing cleaning, child care, eating out, and sports and entertainment during locally imposed lockdowns—or simply because people were concerned about contracting the virus and decided to self-isolate. Ride-share services like Uber and Lyft, which had offered part-time and supplemental opportunities for many workers on the bottom rung of the employment ladder, who were juggling several jobs at once to earn a decent income, were also hard-hit. Although the pandemic expanded the idea of “essential workers” to frontline employees in online shopping warehouses and delivery services, grocery stores, and food production—many of whom retained their jobs and had their pay increased—COVID-19 had a huge negative impact on their already precarious health.


pages: 829 words: 187,394

The Price of Time: The Real Story of Interest by Edward Chancellor

"World Economic Forum" Davos, 3D printing, activist fund / activist shareholder / activist investor, Airbnb, Alan Greenspan, asset allocation, asset-backed security, assortative mating, autonomous vehicles, balance sheet recession, bank run, banking crisis, barriers to entry, Basel III, Bear Stearns, Ben Bernanke: helicopter money, Bernie Sanders, Big Tech, bitcoin, blockchain, bond market vigilante , bonus culture, book value, Bretton Woods, BRICs, business cycle, capital controls, Capital in the Twenty-First Century by Thomas Piketty, Carmen Reinhart, carried interest, cashless society, cloud computing, cognitive dissonance, collapse of Lehman Brothers, collateralized debt obligation, commodity super cycle, computer age, coronavirus, corporate governance, COVID-19, creative destruction, credit crunch, Credit Default Swap, credit default swaps / collateralized debt obligations, crony capitalism, cryptocurrency, currency peg, currency risk, David Graeber, debt deflation, deglobalization, delayed gratification, Deng Xiaoping, Detroit bankruptcy, distributed ledger, diversified portfolio, Dogecoin, Donald Trump, double entry bookkeeping, Elon Musk, equity risk premium, Ethereum, ethereum blockchain, eurozone crisis, everywhere but in the productivity statistics, Extinction Rebellion, fiat currency, financial engineering, financial innovation, financial intermediation, financial repression, fixed income, Flash crash, forward guidance, full employment, gig economy, Gini coefficient, Glass-Steagall Act, global reserve currency, global supply chain, Goodhart's law, Great Leap Forward, green new deal, Greenspan put, high net worth, high-speed rail, housing crisis, Hyman Minsky, implied volatility, income inequality, income per capita, inflation targeting, initial coin offering, intangible asset, Internet of things, inventory management, invisible hand, Japanese asset price bubble, Jean Tirole, Jeff Bezos, joint-stock company, Joseph Schumpeter, junk bonds, Kenneth Rogoff, land bank, large denomination, Les Trente Glorieuses, liquidity trap, lockdown, Long Term Capital Management, low interest rates, Lyft, manufacturing employment, margin call, Mark Spitznagel, market bubble, market clearing, market fundamentalism, Martin Wolf, mega-rich, megaproject, meme stock, Michael Milken, Minsky moment, Modern Monetary Theory, Mohammed Bouazizi, Money creation, money market fund, moral hazard, mortgage debt, negative equity, new economy, Northern Rock, offshore financial centre, operational security, Panopticon Jeremy Bentham, Paul Samuelson, payday loans, peer-to-peer lending, pensions crisis, Peter Thiel, Philip Mirowski, plutocrats, Ponzi scheme, price mechanism, price stability, quantitative easing, railway mania, reality distortion field, regulatory arbitrage, rent-seeking, reserve currency, ride hailing / ride sharing, risk free rate, risk tolerance, risk/return, road to serfdom, Robert Gordon, Robinhood: mobile stock trading app, Satoshi Nakamoto, Satyajit Das, Savings and loan crisis, savings glut, Second Machine Age, secular stagnation, self-driving car, shareholder value, Silicon Valley, Silicon Valley startup, South Sea Bubble, Stanford marshmallow experiment, Steve Jobs, stock buybacks, subprime mortgage crisis, Suez canal 1869, tech billionaire, The Great Moderation, The Rise and Fall of American Growth, The Wealth of Nations by Adam Smith, Thorstein Veblen, Tim Haywood, time value of money, too big to fail, total factor productivity, trickle-down economics, tulip mania, Tyler Cowen, Uber and Lyft, Uber for X, uber lyft, Walter Mischel, WeWork, When a measure becomes a target, yield curve

As one tech analyst commented: ‘The rise in unprofitable IPOs reflects the general preference in both public and private markets for growth over profitability.’18 Silicon Valley’s unicorns attracted higher valuations at each funding round, even as losses outpaced sales. A fortunate few, such as Uber and Lyft, made it to the public markets, where they jostled for attention with another company that had long promised, or rather over-promised, the imminent arrival of self-driving cars. In 2017, the market capitalization of Elon Musk’s Tesla Inc. accelerated past General Motors.19 Three years later, Tesla was valued at more than Toyota, even though the Japanese car maker produced over twenty times as many vehicles.


pages: 716 words: 192,143

The Enlightened Capitalists by James O'Toole

"Friedman doctrine" OR "shareholder theory", "World Economic Forum" Davos, Abraham Maslow, activist fund / activist shareholder / activist investor, anti-communist, Ayatollah Khomeini, benefit corporation, Bernie Madoff, Bletchley Park, book value, British Empire, business cycle, business logic, business process, California gold rush, carbon footprint, City Beautiful movement, collective bargaining, company town, compensation consultant, Cornelius Vanderbilt, corporate governance, corporate social responsibility, Credit Default Swap, crowdsourcing, cryptocurrency, desegregation, do well by doing good, Donald Trump, double entry bookkeeping, end world poverty, equal pay for equal work, Frederick Winslow Taylor, full employment, garden city movement, germ theory of disease, glass ceiling, God and Mammon, greed is good, high-speed rail, hiring and firing, income inequality, indoor plumbing, inventory management, invisible hand, James Hargreaves, job satisfaction, joint-stock company, Kickstarter, knowledge worker, Lao Tzu, Larry Ellison, longitudinal study, Louis Pasteur, Lyft, Marc Benioff, means of production, Menlo Park, North Sea oil, passive investing, Ponzi scheme, profit maximization, profit motive, Ralph Waldo Emerson, rolodex, Ronald Reagan, Salesforce, scientific management, shareholder value, Silicon Valley, Social Responsibility of Business Is to Increase Its Profits, Socratic dialogue, sovereign wealth fund, spinning jenny, Steve Jobs, Steve Wozniak, stock buybacks, stocks for the long run, stocks for the long term, The Fortune at the Bottom of the Pyramid, The Wealth of Nations by Adam Smith, Tim Cook: Apple, traveling salesman, Uber and Lyft, uber lyft, union organizing, Vanguard fund, white flight, women in the workforce, young professional

And I have not even mentioned the looming negative effects of automation on tomorrow’s workforce, nor dealt with the problem of foreign outsourcing. And, to offer a specific example, I have failed to examine the consequences for former taxi drivers of the upheaval in their lives caused by the advent of Uber and Lyft. Many of those men and women had been members of long-standing worker cooperatives offering health insurance and a sense of community. Then there is the unsettling fact that most new jobs being created today are in low-paying industries—in hotels, restaurants, and discount retailing—where worker skills are seldom developed and such benefits as health insurance are rare.2 Taken together, these trends threaten to leave countless people in Britain and America without meaningful employment in traditional organizations.


The Code: Silicon Valley and the Remaking of America by Margaret O'Mara

A Declaration of the Independence of Cyberspace, accounting loophole / creative accounting, affirmative action, Airbnb, Alan Greenspan, AltaVista, Alvin Toffler, Amazon Web Services, An Inconvenient Truth, AOL-Time Warner, Apple II, Apple's 1984 Super Bowl advert, autonomous vehicles, back-to-the-land, barriers to entry, Ben Horowitz, Berlin Wall, Big Tech, Black Lives Matter, Bob Noyce, Buckminster Fuller, Burning Man, business climate, Byte Shop, California gold rush, Californian Ideology, carried interest, clean tech, clean water, cloud computing, cognitive dissonance, commoditize, company town, Compatible Time-Sharing System, computer age, Computer Lib, continuous integration, cuban missile crisis, Danny Hillis, DARPA: Urban Challenge, deindustrialization, different worldview, digital divide, Do you want to sell sugared water for the rest of your life?, don't be evil, Donald Trump, Doomsday Clock, Douglas Engelbart, driverless car, Dynabook, Edward Snowden, El Camino Real, Elon Musk, en.wikipedia.org, Erik Brynjolfsson, Fairchild Semiconductor, Frank Gehry, Future Shock, Gary Kildall, General Magic , George Gilder, gig economy, Googley, Hacker Ethic, Hacker News, high net worth, hockey-stick growth, Hush-A-Phone, immigration reform, income inequality, industrial research laboratory, informal economy, information retrieval, invention of movable type, invisible hand, Isaac Newton, It's morning again in America, Jeff Bezos, Joan Didion, job automation, job-hopping, John Gilmore, John Markoff, John Perry Barlow, Julian Assange, Kitchen Debate, knowledge economy, knowledge worker, Larry Ellison, Laura Poitras, Lyft, Marc Andreessen, Mark Zuckerberg, market bubble, Mary Meeker, mass immigration, means of production, mega-rich, Menlo Park, Mikhail Gorbachev, military-industrial complex, millennium bug, Mitch Kapor, Mother of all demos, move fast and break things, mutually assured destruction, Neil Armstrong, new economy, Norbert Wiener, old-boy network, Palm Treo, pattern recognition, Paul Graham, Paul Terrell, paypal mafia, Peter Thiel, pets.com, pirate software, popular electronics, pre–internet, prudent man rule, Ralph Nader, RAND corporation, Richard Florida, ride hailing / ride sharing, risk tolerance, Robert Metcalfe, ROLM, Ronald Reagan, Salesforce, Sand Hill Road, Second Machine Age, self-driving car, shareholder value, Sheryl Sandberg, side hustle, side project, Silicon Valley, Silicon Valley ideology, Silicon Valley startup, skunkworks, Snapchat, social graph, software is eating the world, Solyndra, speech recognition, Steve Ballmer, Steve Jobs, Steve Wozniak, Steven Levy, Stewart Brand, Strategic Defense Initiative, supercomputer in your pocket, Susan Wojcicki, tacit knowledge, tech billionaire, tech worker, technoutopianism, Ted Nelson, TED Talk, the Cathedral and the Bazaar, the market place, the new new thing, The Soul of a New Machine, There's no reason for any individual to have a computer in his home - Ken Olsen, Thomas L Friedman, Tim Cook: Apple, Timothy McVeigh, transcontinental railway, Twitter Arab Spring, Uber and Lyft, uber lyft, Unsafe at Any Speed, upwardly mobile, Vannevar Bush, War on Poverty, Wargames Reagan, WarGames: Global Thermonuclear War, We wanted flying cars, instead we got 140 characters, Whole Earth Catalog, WikiLeaks, William Shockley: the traitorous eight, work culture , Y Combinator, Y2K

By the end of 2016, Android phones made up over 80 percent of the global market, and over half of Google’s revenue came from mobile.8 The entry into the phone market was even more profitable for Apple. Ten years after its introduction, over one billion iPhones had been sold worldwide. It was the bestselling consumer product in human history. Having a geolocated, camera-equipped supercomputer in millions of pockets jump-started whole new business categories, such as ride-sharing (Uber and Lyft), local search (Yelp), and short-term rentals (Airbnb). It further spiked the growth of social media, launching born-mobile apps (Instagram, Snapchat) and turning existing networks into even more potent vehicles for advertising and sales. The switch to mobile made Facebook’s user base grow even faster.


pages: 935 words: 197,338

The Power Law: Venture Capital and the Making of the New Future by Sebastian Mallaby

"Susan Fowler" uber, 23andMe, 90 percent rule, Adam Neumann (WeWork), adjacent possible, Airbnb, Apple II, barriers to entry, Ben Horowitz, Benchmark Capital, Big Tech, bike sharing, Black Lives Matter, Blitzscaling, Bob Noyce, book value, business process, charter city, Chuck Templeton: OpenTable:, Clayton Christensen, clean tech, cloud computing, cognitive bias, collapse of Lehman Brothers, Colonization of Mars, computer vision, coronavirus, corporate governance, COVID-19, cryptocurrency, deal flow, Didi Chuxing, digital map, discounted cash flows, disruptive innovation, Donald Trump, Douglas Engelbart, driverless car, Dutch auction, Dynabook, Elon Musk, Fairchild Semiconductor, fake news, family office, financial engineering, future of work, game design, George Gilder, Greyball, guns versus butter model, Hacker Ethic, Henry Singleton, hiring and firing, Hyperloop, income inequality, industrial cluster, intangible asset, iterative process, Jeff Bezos, John Markoff, junk bonds, Kickstarter, knowledge economy, lateral thinking, liberal capitalism, Louis Pasteur, low interest rates, Lyft, Marc Andreessen, Mark Zuckerberg, market bubble, Marshall McLuhan, Mary Meeker, Masayoshi Son, Max Levchin, Metcalfe’s law, Michael Milken, microdosing, military-industrial complex, Mitch Kapor, mortgage debt, move fast and break things, Network effects, oil shock, PalmPilot, pattern recognition, Paul Graham, paypal mafia, Peter Thiel, plant based meat, plutocrats, power law, pre–internet, price mechanism, price stability, proprietary trading, prudent man rule, quantitative easing, radical decentralization, Recombinant DNA, remote working, ride hailing / ride sharing, risk tolerance, risk/return, Robert Metcalfe, ROLM, rolodex, Ronald Coase, Salesforce, Sam Altman, Sand Hill Road, self-driving car, shareholder value, side project, Silicon Valley, Silicon Valley startup, Skype, smart grid, SoftBank, software is eating the world, sovereign wealth fund, Startup school, Steve Jobs, Steve Wozniak, Steven Levy, super pumped, superconnector, survivorship bias, tech worker, Teledyne, the long tail, the new new thing, the strength of weak ties, TikTok, Travis Kalanick, two and twenty, Uber and Lyft, Uber for X, uber lyft, urban decay, UUNET, vertical integration, Vilfredo Pareto, Vision Fund, wealth creators, WeWork, William Shockley: the traitorous eight, Y Combinator, Zenefits

Given these incumbent advantages, blitzscaling that helps insurgents may be a leveler, not a distorter. In ride hailing, for example, the incumbent taxi operators often had municipal regulators in their pockets. Cheap venture dollars served to balance that unfair advantage.[33] “You can make the case that if Uber and Lyft and Airbnb hadn’t blitzscaled, they would have been tied up in bureaucratic red tape, and the future they are trying to build wouldn’t just have happened more slowly. It would never have happened,” O’Reilly himself comments. Theoretically, a really huge amount of venture dollars might represent an overcorrection: when buccaneers like Masayoshi Son are setting the pace, the anti-blitzscaling critique may have merit.


Lonely Planet Iceland by Lonely Planet

Airbnb, banking crisis, capital controls, car-free, carbon footprint, cashless society, centre right, DeepMind, European colonialism, Eyjafjallajökull, food miles, Kickstarter, low cost airline, Lyft, megaproject, Mikhail Gorbachev, New Urbanism, presumed consent, ride hailing / ride sharing, Ronald Reagan, Uber and Lyft, uber lyft

Local bus networks operate in Akureyri, Ísafjörður, and the Reykjanesbær and Eastfjords areas. Taxi Most taxis in Iceland operate in the Reykjavík area, but many of the larger towns also offer services. Outside of Reykjavík, it’s usually wise to prebook. Taxis are metered and can be pricey. Tipping is not expected. At the time of research, there were no Uber and Lyft services in Iceland (yet). Language Behind the Scenes Send Us Your Feedback We love to hear from travellers – your comments keep us on our toes and help make our books better. Our well-travelled team reads every word on what you loved or loathed about this book. Although we cannot reply individually to postal submissions, we always guarantee that your feedback goes straight to the appropriate authors, in time for the next edition.


pages: 1,006 words: 243,928

Lonely Planet Washington, Oregon & the Pacific Northwest by Lonely Planet

Airbnb, big-box store, bike sharing, Boeing 747, British Empire, Burning Man, butterfly effect, car-free, carbon footprint, Chuck Templeton: OpenTable:, Day of the Dead, Frank Gehry, G4S, gentrification, glass ceiling, housing crisis, indoor plumbing, intermodal, Kickstarter, Lyft, Murano, Venice glass, New Urbanism, remote working, restrictive zoning, ride hailing / ride sharing, Tacoma Narrows Bridge, trade route, Uber and Lyft, uber lyft, urban decay, urban planning, urban sprawl, V2 rocket, Works Progress Administration, Zipcar

Taxis charge around $35 to $40 (not including tip) from the airport to downtown. For app-based ride-share service with Uber, Lyft and Wingz, there is a dedicated pick-up zone on the airport’s lower level. Walk outside toward island two, where you’ll find pick-up lines separated by company. With Uber and Lyft, you’ll receive a PIN number in the app upon requesting a ride. When it’s your turn in line, show this PIN to the next available driver, who will enter it into their system and pull up your destination information. PUBLIC TRANSPORTATION Portland has good public transportation that can get you nearly everywhere.