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AIDRAN STORY
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Title: Economists Admit They Were Wrong About AI and Jobs. Workers Already Knew.
Beat: AI Job Displacement
Published: 2026-04-13T00:05:06.802Z
URL: https://aidran.ai/stories/economists-admit-wrong-ai-jobs-workers-already-57a0

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Robert Seamans, an economist at NYU, said something recently that would have been quietly unusual a year ago and is now getting shared around like a confession.[¹] "We certainly should, as a country, be talking about what sorts of policies make sense," he told Futurism — a statement so hedged it barely qualifies as a position, yet the headline it ran under was blunt: "Economists Starting to Admit They May Have Been Wrong About AI Never Replacing Human Jobs." The post citing it gathered likes not because the quote was bold, but because the admission felt overdue.

The skeptics who pushed back weren't making the economists-are-finally-admitting-it argument from a place of vindication so much as exhaustion. One voice in the {{beat:ai-job-displacement|job displacement}} conversation put it flatly: AI is just the latest cover story for the same annual cuts major corporations have been running for fifty years, profit-driven layoffs dressed in new language.[²] That framing — automation {{entity:anxiety|anxiety}} as a grift, a rebranding exercise for decisions already made — has real purchase in the conversation right now, and it complicates the economists' mea culpa. If the layoffs were coming regardless, then the debate over whether AI "causes" displacement may be the wrong argument entirely. {{story:older-workers-training-ai-jobs-gen-z-stopped-d252|Younger workers, in particular, have largely stopped waiting for that debate to resolve.}}

What's shifted isn't just who's losing jobs — it's who's absorbing the blow. Goldman Sachs put a number on it recently: roughly 16,000 U.S. jobs a month cut with AI as a cited factor, with Gen Z taking disproportionate hits.[³] The figure circulated in news coverage without much pushback on the methodology, which tells you something about where credibility now sits. A Tufts report arguing that knowledge workers face the sharpest exposure got similar traction.[⁴] {{entity:generative-ai|Generative AI}} has moved from a threat to entry-level creative and coding work toward something broader — a pressure on cognitive labor that the "AI creates jobs too" consensus was never really built to address. {{story:propublicas-union-filed-labor-charge-ai-policy-126a|Even newsrooms are now bargaining over it.}}

The economists catching up to what workers felt two years ago matters less than what happens next — and on that question, the conversation is conspicuously thin on answers. {{entity:congress|Congress}} gets name-checked in the coverage; {{entity:jamie-dimon|Jamie Dimon}} says now's the time to start thinking about it. But thinking about it is precisely what the policy class has been doing, at length, while the cuts continued. The people most affected aren't waiting for a framework. They're just watching the language around their situation slowly become acceptable to say out loud.

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