As of October 2026 AI shows no economy-wide job displacement; the measurable effect is a narrowing entry rung. US workers aged 22 to 25 in AI-exposed occupations are about 19% below where they would be had they kept pace with less-exposed peers, through reduced hiring rather than layoffs. Attribution to AI is contested: remote work and pre-ChatGPT trends explain part of it, and Nordic population data shows little or no effect.

Evidence 7 passages

• groundsUntitled source

  We find no evidence of widespread, economy-wide job displacement.

• groundsUntitled source

  However, employment of young workers (ages 22–25) in AI-exposed occupations now stands 19% below where it would be had it kept pace with that of their less-exposed peers; experienced workers show no comparable gap.

• groundsUntitled source

  It operates primarily through reduced hiring of young workers rather than increased separations.

• qualifiesUntitled source

  The best current evidence supports a narrow claim: AI may already be affecting the hiring margin for junior white-collar roles most exposed to AI, but this attribution is contested, and aggregate labor-market disruption has yet to appear in the data.

• qualifiesUntitled source

  Nordic population-wide data doesn’t detect adverse effects of AI exposure on young people’s employment levels, but doesn’t feature more rapidly changing hiring flows.

• qualifiesUntitled source

  Young workers, often cast as the first victims of artificial intelligence, are doing just fine: the gap between unemployment among 20-24-year-olds and the overall rate is close to a multi-decade low.

• backsUntitled source

  Hiring in professional and business services is running about 10% below the average in 2015-19.

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