Cory Doctorow on AI, Work, and Power
Episode
59 min
Read time
2 min
Topics
Career Growth, Investing, Startups
AI-Generated Summary
Key Takeaways
- ✓Centaur vs. Reverse Centaur Framework: When workers control where AI enters their workflow, they become centaurs — human judgment directing machine capability. When management imposes AI to replace workers, the remaining employees become reverse centaurs: conscripted peripherals working at machine pace, absorbing blame for errors, and producing compounding technical debt at scale.
- ✓AI Bubble Unit Economics: Six of the seven companies comprising 35% of the S&P 500 are losing hundreds of billions on AI. Unlike the early web — where each new user improved sector profitability — every additional AI user deepens losses. Each model generation costs more than the last, with no evidence of improving unit economics.
- ✓Automation Blindness Risk: When AI handles 97% of tasks correctly, human reviewers lose the neurological capacity to catch the 3% of failures. This mirrors TSA screeners missing fake weapons in red-team tests. Software engineers reviewing AI-generated code at scale face the same vigilance collapse, making defect detection structurally unreliable.
- ✓Ulysses Pact for Ethical Tech: Developers and founders can pre-commit to user protection by adopting irrevocable open-source licenses, structuring companies as B-corps or worker co-ops, building federated platforms with low switching costs, and guaranteeing data portability APIs — making it structurally expensive to betray users before investor pressure arrives.
- ✓Tech Worker Unionization Path: Organizations including Tech Workers Coalition, Tech Solidarity, and Communications Workers of America are actively organizing tech workers. Established unions hold larger cash reserves than at any point in labor history but are not deploying them toward new organizing — workers should pressure unionized peers to fund expansion into tech shops.
What It Covers
Cory Doctorow joins Software Engineering Daily to discuss his book on AI and labor, explaining why identical AI tools empower some workers while exploiting others, how monopolized markets enable companies to deploy worse-performing workflows, and what software developers can do to reclaim power in an AI-saturated workplace.
Key Questions Answered
- •Centaur vs. Reverse Centaur Framework: When workers control where AI enters their workflow, they become centaurs — human judgment directing machine capability. When management imposes AI to replace workers, the remaining employees become reverse centaurs: conscripted peripherals working at machine pace, absorbing blame for errors, and producing compounding technical debt at scale.
- •AI Bubble Unit Economics: Six of the seven companies comprising 35% of the S&P 500 are losing hundreds of billions on AI. Unlike the early web — where each new user improved sector profitability — every additional AI user deepens losses. Each model generation costs more than the last, with no evidence of improving unit economics.
- •Automation Blindness Risk: When AI handles 97% of tasks correctly, human reviewers lose the neurological capacity to catch the 3% of failures. This mirrors TSA screeners missing fake weapons in red-team tests. Software engineers reviewing AI-generated code at scale face the same vigilance collapse, making defect detection structurally unreliable.
- •Ulysses Pact for Ethical Tech: Developers and founders can pre-commit to user protection by adopting irrevocable open-source licenses, structuring companies as B-corps or worker co-ops, building federated platforms with low switching costs, and guaranteeing data portability APIs — making it structurally expensive to betray users before investor pressure arrives.
- •Tech Worker Unionization Path: Organizations including Tech Workers Coalition, Tech Solidarity, and Communications Workers of America are actively organizing tech workers. Established unions hold larger cash reserves than at any point in labor history but are not deploying them toward new organizing — workers should pressure unionized peers to fund expansion into tech shops.
Notable Moment
Doctorow reveals that Google's internal documents, surfaced during the DOJ antitrust case, show the company deliberately degraded search quality after reaching 90% market share — calculating that users had nowhere else to go — with revenue teams overruling engineers who objected to the strategy.
Episode Transcript
Are you passionate about software development and the tech industry? Software Engineering Daily is looking for a new podcast host to grow its hosting team. In this role, you'll help shape the show's editorial direction and interview engineers, founders, hackers, and tech leaders. Podcasting experience is a plus, but not required. Curiosity, great communication skills, and a genuine interest in the craft of building software are what matter most. If this sounds like you, reach out at editor@softwareengineeringdaily.com. Corey Doctorow is a science fiction author, journalist, and technology activist, and a special adviser to the Electronic Frontier Foundation. He is the author of dozens of books, including the non fiction, Why Everything Suddenly Got Worse and What to Do About It, and the novel Picks and Shovels. His work spans tech policy books like The Internet Con and Chokepoint Capitalism, the solarpunk novels Walkaway and the Lost Cause, and the best selling You Little Brother series. He holds honorary doctorates from York University and Open University, writes the daily blog pluralistic.net, and lives in Los Angeles and London. In this episode, Corey joins Josh Goldberg to talk about his latest book, the reverse centaur's guide to life after AI. They discuss the difference between a centaur and a reverse centaur, why the same AI tools leave some workers empowered and others feeling exploited, why companies impose worse performing workflows anyway, and what workers can do about it. This episode is hosted by Josh Goldberg, front end developer at Sentry and open source maintainer. Josh works on projects in the TypeScript ecosystem, most notably TypeScript ESLint, a powerful static analysis toolset for JavaScript and TypeScript. Josh is also the author of the O'Reilly Learning TypeScript book, a Microsoft MVP for developer technologies, and a cofounder of SquiggleConf, a conference for excellent web developer tooling. Find Josh on Blue Sky, Fostadon, and .com as Joshua k Goldberg. With me today is Corey Dottereaux. Corey is a writer, activist, journalist who has been with the Electronic Frontier Foundation or EFF for nearly twenty five years. Corey, welcome to Software Engineering Daily. Well, thank you for having me on. It's a pleasure. Oh, we're so excited. You got a lot of stuff under your belt. Some people may know you as a sci fi author or author of very many books on society and tech and culture. Other folks may know you as the guy. Would you like to start us off by saying how you got into tech and writing? Oh my gosh. Well, I got into tech because my dad was a computer scientist. So our first computer wasn't even electric. It was mechanical. We had a a computer called a cardiac, a very low powered cardboard touring complete device that was invented at Bell Labs by engineers who were worried that you had an incoming generation post transistor who wouldn't understand how actual, like, logic gates worked and who built a cardboard computer that you printed out while they printed it …
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Books
- AI and LaborBy guest
by Cory Doctorow
“Cory Doctorow joins Software Engineering Daily to discuss his book on AI and labor, explaining why identical AI tools empower some workers while exploiting others”
other
“Organizations including Tech Workers Coalition, Tech Solidarity, and Communications Workers of America are actively organizing tech workers.”
“Organizations including Tech Workers Coalition, Tech Solidarity, and Communications Workers of America are actively organizing tech workers.”
“Organizations including Tech Workers Coalition, Tech Solidarity, and Communications Workers of America are actively organizing tech workers.”
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