A Stanford-led research update is reinforcing earlier claims that generative AI adoption coincides with declines for young workers in AI-exposed occupations. Economist Erik Brynjolfsson and collaborators updated their analysis using a high-frequency administrative dataset from ADP, now embedded in the Stanford Digital Economy Lab’s Canaries Dashboard and expanding to approximately 4.6 million workers across more than 730 occupations. The latest framing continues to show a widening split by age and exposure level even after criticisms that earlier results were driven by interest rates, hiring distortions, or other labor-market noise. The dashboard indicates that, while aggregate employment effects appear muted, the most AI-exposed occupations still show contraction for workers aged 22 to 25. The effort—positioned as near-real-time evidence—adds pressure on universities and workforce-development partners to align career services, credential pathways, and employer partnerships with faster labor-market shifts tied to AI.