Employment in highly AI-exposed occupations is declining sharply among workers ages 22 to 25, according to an analysis of US payroll data across 730+ job categories. The annual contraction rate now stands at 3.8%.
The data, analyzed across more than 730 occupations, reveals a widening employment gap for early-career professionals in roles vulnerable to artificial intelligence automation. Young workers entering fields with significant AI exposure face a contracting job market, marking a shift from previous hiring patterns.
The analysis builds on research from Stanford economist Erik Brynjolfsson's team, which began examining AI's labor market impact last year. That initial study outlined broad displacement risks; this new data provides concrete evidence of those effects materializing in real-time payroll figures.
The 3.8% annual decline suggests accelerating pressure on entry-level positions in AI-susceptible sectors. While older workers in the same roles show different employment trends, the concentration of losses among 22-to-25-year-olds indicates AI adoption may be reshaping early-career hiring decisions and job availability across multiple industries.
The findings raise questions about workforce development and whether training programs are adequately preparing new graduates for an AI-integrated labor market.
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