A fresh look at artificial intelligence’s labor impact challenges predictions of sweeping job losses. Anthropic reports no systematic rise in unemployment among the most AI-exposed workers since late 2022 and says real-world deployment remains limited; productivity has trailed the late-1990s IT boom. Markets are taking note, with AI-fueled tech shares slipping from recent highs. Economists argue task-level automation can boost firm productivity without collapsing overall employment, even as insiders still bet on rapid progress toward more general AI.
Yet the economics and politics are turning tougher. Communities are resisting new data centers, while power needs and capital costs are surging; the IEA expects data-center electricity demand to more than double by 2030. Rapid model obsolescence clouds returns. The upshot: AI’s promise remains significant, but a jobs apocalypse looks distant—and the price of broad transformation may be higher than society is willing to pay.
Related articles:
Generative AI at Work: Evidence from a call center
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models




























