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Labor·P Space·Evidence-backed problem·Published 2026-08-13

AI was supposed to destroy jobs. Where’s the carnage?

Abstract: The prediction was stark: artificial intelligence advancements would wipe out jobs en masse. “Half” of all entry-level white collar jobs would vanish, Anthropic’s CEO, Dario Amodei, said in May 2025. A month later, OpenAI’s CEO, Sam Altman, went further, foreseeing the end of “certain job categories”. Companies began citing AI in their layoffs. Workers organized. And students reconsidered their future careers. But a year later, the mass carnage hasn’t shown up. Even as AI capabilities have rapidly advanced and A…

TRV-2026-0740JournalismPermanent record — cite & verify
AI was supposed to destroy jobs. Where’s the carnage?
The quick read

A year after predictions that AI would wipe out half of entry-level white-collar jobs, a Guardian report on 12 August 2026 cites a Stanford Institute for Economic Policy Research analysis finding no major displacement since 2022, with the most AI-exposed workers seeing a 0.77 point unemployment rise versus 0.85 for the least-exposed.

The finding matters because it reframes the labor debate from immediate job destruction to skills-matching and hiring standards, but uncertainty remains due to measurement gaps, the possible disproportionate effect on recent graduates at 5.6% unemployment, and economists' inability to predict timing and scale of longer-term shifts.

Main points
  • Stanford Institute for Economic Policy Research analysis found unemployment for the 20% most AI-exposed workers rose 0.77 points since 2022, less than 0.85 points for least-exposed.
  • ZipRecruiter survey found 74% of employers consider AI skills a strong advantage or requirement, with 13% requiring them company-wide.
  • Recent graduates' unemployment hit 5.6% versus 4.2% national average earlier this year, with AI as one possible factor alongside remote work and pandemic overhiring unwind.
Problem

Companies began citing AI in layoffs and recent graduates faced 5.6% unemployment, with AI identified as a possible contributing factor.

The rundown

The piece contrasts May-June 2025 predictions from Anthropic and OpenAI CEOs about mass white-collar job loss with 2026 data showing no mass carnage, noting CEOs now frame AI as augmenting workers.

It details how work is changing rather than disappearing: roles consolidating, hiring bar rising for AI skills, and long-term shift toward freelance and contract work as firms reassess needed skills.

Sources

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