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In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.

In the last year, AI models have rapidly improved on public benchmarks measuring their ability to carry out research tasks autonomously. Such performance suggests that models may be capable of automating parts of the AI R&D process itself, thereby accelerating the pace of AI progress.
This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.

This talk will cover key insights from the third AI100 report, AI Goes Mainstream: The Scaling Era and the Rise of Generative AI, set for release in November 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.

Sessions run Wednesdays from 4:30–5:30 PM in CoDa E160. Each session features a different Stanford speaker; talk titles are announced by the organizers.
HAI Faculty Associate Director Susan Athey and new incoming HAI senior fellow Erik Brynjolfsson invited researchers working on AI and labor markets across the Stanford community to come together in a virtual event on May 18th, to present and discuss ongoing research and build ties for future collaborations.
How is AI impacting the labor market? How is it changing labor demand and supply, occupations, hiring, labor mobility, firm organization, and behavior? Various groups from different disciplines across campus ranging from Economics, Business, Management Science and Engineering, Politics, Sociology or Computer Science are working on these important questions from different angles, with different lenses and methodologies. The workshop aimed to bring the working group together to enable cross-disciplinary discussions and inspire future research collaborations.