A Stanford-backed research update continues to support concerns about AI’s impact on entry-level employment, according to the article. The piece centers on a team led by Stanford economist Erik Brynjolfsson and expanded work using ADP Research payroll data. It recounts earlier findings from last August that showed employment declines for workers ages 22 to 25 in AI-exposed occupations after controlling for other shocks. The latest update references a partnership via Stanford’s Digital Economy Lab and ADP Research, using payroll data covering roughly one in six American workers. The article notes that across all workers the aggregate effect appears muted, but it emphasizes a “widening fault line” by age and AI exposure. Brynjolfsson’s stance is that the problem is not fading, countering critics who attributed earlier trends to interest rates, hiring distortions, or pandemic noise. For higher education, the research adds pressure to align career services, curriculum, and internship pipelines with the changing structure of entry-level roles under AI adoption.