According to researchers at Stanford University's Institute for Economic Policy Research, AI is causing significant entry-level job losses for younger workers in some fields, while older workers appear largely unaffected.
What Happened
The August 2026 edition of "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence" updates and revises a paper with the same name published last year. The researchers classified occupations as "AI-exposed" based on estimates of which roles face the greatest potential for automation or augmentation by current AI systems, including fields such as data entry, certain customer service functions, basic coding tasks, and content moderation. To measure the employment gap, the economists compared labor force participation rates and job placement levels between workers aged 22 to 25 in the most exposed occupations against their peers in fields with lower AI exposure. They find that employment levels for workers in the highest-exposure roles are now 19 percent below those of their less-exposed peers, up from a 13 percent gap measured just one year prior. The paper states that this widening disparity appears concentrated among recent graduates and early-career professionals, while workers over 30 in similar fields have not experienced comparable declines.
Why It Matters
The growing employment gap between AI-exposed and unexposed young workers signals a structural shift in how automation is affecting the labor market. According to researchers, older established workers appear insulated from these effects—likely due to accumulated job tenure, industry relationships, and roles requiring context or judgment that current AI systems cannot replicate. For younger professionals just entering fields where AI capabilities are expanding rapidly, this trend could delay career progression, increase competition for remaining entry-level positions, and reshape expectations for entire industries. The paper suggests policymakers and educators should consider how training programs and degree pathways align with a job market where AI exposure may determine early-career outcomes.
The Bottom Line
The Stanford economists report that entry-level job losses attributed to AI exposure are persisting and expanding. The study tracks a specific age cohort—workers 22 to 25—in occupations with high AI exposure, showing the employment gap between exposed and unexposed workers grew from 13 percent to 19 percent over one year.