Altman, Amodei Reverse AI Job-Loss Warnings as 50% White-Collar Cut Fears Fade
Updated
Updated · Fortune · May 26
Altman, Amodei Reverse AI Job-Loss Warnings as 50% White-Collar Cut Fears Fade
9 articles · Updated · Fortune · May 26
Sam Altman said he was “pretty wrong” to expect faster entry-level white-collar job losses, while Dario Amodei shifted from warning AI could erase 50% of such jobs to arguing automation may expand work.
Their reversal follows limited labor-market evidence so far: Yale Budget Lab found no significant shift in occupational mix or unemployment duration in high-AI-exposure jobs since ChatGPT’s 2022 launch.
The picture is still mixed, with tech layoffs topping 115,000 through May 2026 and Meta, Amazon and Snap among companies citing AI as a factor in cuts.
Goldman Sachs CEO David Solomon, who had rejected apocalypse forecasts, says U.S. history shows disruption creates new work; he cited 145% civilian employment growth since 1962 and 200,000 data-center jobs added since 2022.
The emerging view among executives and economists is that AI may lower costs and raise demand rather than shrink employment outright, echoing Jevons paradox and productivity-driven labor expansion.
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2026 AI Job Impact: From Apocalypse Fears to Workforce Transformation and Policy Response
Overview
In May 2026, AI leaders Sam Altman and Dario Amodei reversed their earlier warnings from 2025 about massive white-collar job losses due to AI. Previously, they predicted up to 50% of jobs could be eliminated, with high unemployment rates, and argued that big AI investments would require significant job cuts. Now, Altman points to AI’s current limits in replacing complex human tasks, while Amodei believes automation can actually create new roles. Despite substantial tech layoffs and some companies citing AI as a factor, the overall job market has not experienced the predicted crisis, showing a more balanced impact of AI on employment.