New data from a Stanford-led economics dashboard continues to show measurable employment declines concentrated among AI-exposed entry-level roles, reinforcing earlier findings that generated intense debate. The report points to work by Stanford economist Erik Brynjolfsson, whose team previously published results using ADP administrative payroll data showing a relative decline in employment for workers ages 22 to 25 in the most AI-exposed occupations after the adoption of generative AI. The update expands an ongoing partnership with ADP Research through the Canaries Dashboard. The dashboard processes payroll data covering about 4.6 million workers across more than 730 occupations and is designed to track AI’s effects on near real time. While the aggregate contraction is small across all workers, the update emphasizes a widening “fault line” between AI-exposed and less-exposed occupations. For higher education stakeholders, the findings matter because they directly influence the return-on-education narrative for students entering the workforce, and they raise pressure for universities to adjust career services, internship pathways, and curriculum to match evolving job requirements.