Stanford: AI Employment Gap for Young Workers in Exposed Sectors Widens to 19%

My take: Stanford's Digital Economy Lab published its August update on AI's employment effects, and the key finding is not the one most people expect. There is no widespread, economy-wide job displacement; what ADP payroll data tracking millions of U.S. workers does show is a gap widening specifically for younger workers: employment among people ages 22 to 25 in highly AI-exposed occupations now stands 19% below where it would be if it had kept pace with less-exposed peers. In July 2025, that same gap was 15%.

This pattern matters because it speaks to labor market access, not layoffs. Experienced workers show no comparable gap; it is those entering the market who face the most resistance. In the fields most exposed to AI — writing, data analysis, administrative work — the technology is raising the floor for entry, not just for staying.

If you are hiring, training, or mentoring early-career professionals, this is the data point most worth acting on. What AI skills do the people on your team need to enter the job market of 2027?