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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 October 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 October 2026. The report was commissioned by the AI100 standing committee and led by study panel chair Michael Wooldridge.
AI is advancing rapidly at the cognitive tasks that make up knowledge work, raising fears among firms, policymakers, and, not least, workers of a “China shock” for white-collar jobs. Neil Thompson will present new research on whether those fears are warranted.

AI is advancing rapidly at the cognitive tasks that make up knowledge work, raising fears among firms, policymakers, and, not least, workers of a “China shock” for white-collar jobs. Neil Thompson will present new research on whether those fears are warranted.
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.
John H. Cochrane (Stanford), “AI, Society, and Democracy: Just Relax”
Sarah Friar (OpenAI) and Laura Bisesto (OpenAI), “The Potential for AI to Restore Local Community Connectedness, the Bedrock of a Healthy Democracy”
Mona Hamdy (Anomaly and Harvard University), Johnnie Moore (JDA Worldwide and The Congress of Christian Leaders), and E. Glen Weyl (Plural Technology Collaboratory), “Techno-ideologies of the Twenty-first Century”
Reid Hoffman (Greylock) and Greg Beato, “Informational GPS”
Lawrence Lessig (Harvard), “Protected Democracy”
James Manyika (Google and Alphabet), “Getting AI Right: A 2050 Thought Experiment”
Jennifer Pahlka (Niskanen Center and the Federation of American Scientists), “AI Meets the Cascade of Rigidity”
Nathaniel Persily (Stanford), “Misunderstanding AI’s Democracy Problem”
Eric Schmidt (Former CEO and Chairman of Google), “Democracy 2.0”
Divya Siddarth (Collective Intelligence Project), Saffron Huang (Collective Intelligence Project), Audrey Tang (Collective Intelligence Project), “A Vision of Democratic AI”
Lily L. Tsai (MIT) and Alex Pentland (Stanford), “Rediscovering the Pleasures of Pluralism: The Potential of Digitally Mediated Civic Engagement”
Eugene Volokh (Stanford and UCLA), “Generative AI and Political Power”