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AI job disruption has not materialized at scale, Stanford finds
A Stanford Institute for Economic Policy Research analysis says unemployment rose by 0.8 percentage points for the most AI-exposed workers since 2022, versus 0.9 points for the least exposed.
The Guardian Business reports that economists say the widely predicted AI-driven jobs apocalypse has not arrived, even as AI capabilities advance and some companies cite automation risk in layoffs.
The outlet points to a recent Stanford Institute for Economic Policy Research analysis, which found that since the launch of ChatGPT in 2022, the unemployment rate for workers most exposed to AI rose by 0.77 percentage points, compared with a 0.85 percentage-point increase for workers least exposed.
The report also notes that the unemployment rate for recent graduates reached 5.6%, above a national average of 4.2% earlier this year, with the analysis pointing to other contributors such as remote work and the unwind of pandemic-era overhiring.
Erika McEntarfer, a fellow and co-author of the Stanford report, said employment trends in the occupations where impacts would be expected first are largely stable, adding that it took decades for the computer revolution to fully transform labor.