Overview
- The Yale University Budget Lab and Brookings Institution report finds no discernible economy-wide shift in U.S. employment since ChatGPT’s 2022 debut, with AI exposure levels stable across job categories.
- The analysis aligns with signs of concentrated harm for younger workers, citing Stanford research showing a 13% employment drop for ages 22–25 in the most AI-exposed occupations.
- Senate Democrats’ HELP Committee projects up to roughly 100 million U.S. jobs at risk over the next decade and backs remedies including a 32-hour workweek, profit-sharing and a robot tax.
- OpenAI’s new GDPval evaluation names 44 roles where frontier models often match or beat professionals, highlighting higher model win rates in retail and sales tasks and underscoring uneven vulnerability across occupations.
- Corporate signals are mixed: Walmart plans a flat headcount as it pursues AI efficiencies, Starbucks is funding more human-centered in-store service, and executives offer divergent forecasts ranging from augmentation to large entry-level white-collar losses.