A Stanford-led labor analysis tied to ADP payroll data continues to show an employment decline for workers aged 22 to 25 in the most AI-exposed occupations, even after skeptics questioned earlier results. Erik Brynjolfsson’s team first published the finding last August using a large-scale, high-frequency administrative dataset, and now reports updated evidence through the Canaries Dashboard partnership with ADP Research. The latest dashboard covers roughly 4.6 million workers across more than 730 occupations and is designed to track AI labor market effects in near real time. Brynjolfsson says the pattern has not faded and remains detectable after controlling for other shocks. The new reporting also addresses critics who attributed weaker entry-level hiring to factors like interest rates or remote-work distortions, arguing instead for ongoing disruption tied to exposure level. For universities, the data point supports renewed attention to work-based learning, career reskilling, and early-career placement support.