Computer Says Maybe

The Gig is Up: How Uber Ruined Wage Labor with Veena Dubal

Computer Says Maybe

Show Notes

In 2013, taxi drivers were beginning to notice something unusual: unmarked, black cars were cutting them off in taxi lines and picking up their passengers. Little did these drivers know that those black cars were the start of Uber — and it wasn’t just going to destroy the taxi industry, but wage labor as we knew it. More like this: REAL Resistance — Against Automated Governments

In this episode, Alix Dunn sits down with Veena Dubal, one of the leading experts on gig labor and Professor of Law at the University of California, Irvine School of Law. Veena shares with us her firsthand account of the Uberization of everything from the beginning to now. She breaks down how this seemingly-innocuous ride sharing app would lead to algorithmic wage fixing around the world and the gamblification of workers’ lives.

Further reading & resources: On Algorithmic Wage Discrimination — Veena Dubal AI Shouldn’t Be Setting Prices or Wages. States Need to Push Back. — Veena Dubal, 2026 How artificial intelligence uncouples hard work from fair wages through ‘surveillance pay’ practices—and how to fix it — Veena Dubal, Wilneida Negrón Algorithms of Exploitation — Human Rights Watch Join The Maybe Collective to explore the politics of technology through fresh ideas that you won't hear anywhere else. Sign up for monthly insights, access to exclusive digital events, and real ways to get more involved on issues you care about. Computer Says Maybe is produced by Georgia Iacovou, Kushal Dev, Marion Wellington, Sarah Myles, Van Newman, and Zoe Trout

More from Computer Says Maybe

Oct 23, 2026

The AI industry is so unpopular that it has started paying for the support it can’t earn. So what does it take for people to turn that mistrust into power that the industry can’t just buy off? More like this: Flock Shock: How Local Fights Over Surveillance Are Reshaping American Politics w/ Sarah Hamid & Anthony Ralphs

Oct 16, 2026

You may have seen the viral clip of a man in a full Darth Vader costume protesting Flock at a San Diego City Council meeting. The man behind the mask was Anthony Ralphs, who spent months trying to get the city to reconsider its contract with the surveillance tech company. After repeatedly raising concerns with the council, he turned to political theater - and got national attention. His protest is part of a growing backlash against Flock, bringing people across the political spectrum together to challenge surveillance tech and demand more say in how it’s used.

Oct 9, 2026

Tech companies keep telling us that the answer to solving climate change lies in AI. Meanwhile, the data centers required to power AI are keeping coal plants open longer, bringing in gas turbines, and driving plans for power stations bigger than anything we’ve built before. More like this: The Colossus Crossroads: Fighting for the Future of Memphis w/ KeShaun Pearson

Oct 2, 2026

When a tech executive says AI will be doing your job next year, it sounds like a forecast. Dr. Carissa Véliz argues it's something else: a command, delivered in advance, that works only if enough of us obey it. If you believe the prediction, you buy the product, reorganize your company, and bet the economy on it, and the prediction comes true because you made it so. So who gets to make predictions that stick? And what would it take to stop treating them as news and start hearing them as orders? More like this: AGI is Scientifically Impossible w/ Adam Becker In this episode, Alix Dunn talks with Carissa Véliz, associate professor at Oxford's Institute for Ethics in AI and author of Prophecy: Prediction, Power, and the Fight for the Future, From Ancient Oracles to AI. Carissa explains why a prediction is a command disguised as a description, how powerful people use algorithms to fulfill their own forecasts, and why the alternative just might be being relying on preparation over prediction. Further reading & resources: Prophecy: Prediction, Power, and the Fight for the Future, From Ancient Oracles to AI — Carissa Véliz Beware the Power of Prediction — Carissa Véliz, TED Talk The Origins of Totalitarianism — Hannah Arendt The Dangerous Ideas of “Longtermism” and “Existential Risk” — Émile P. Torres, Current Affairs

Sep 25, 2026

Almost everyone studying kids’ safety online agrees that a blanket social media ban won't work. And nearly every government moving on the issue is passing one anyway. This week, a researcher and a policy lawyer dig into why - and what could actually work instead. More like this: When Kids Can’t Consent: The Case Against Tech in the Classroom w/ Andrew Liddell

See all episodes →