Economy, Markets
How AI is driving economic growth and creating new markets.
Ashesh Rambachan | From Next-Token Prediction to Automatic Induction of Automata
Sequence data is ubiquitous in economics — job histories in labor economics, diagnosis and treatment sequences in health economics, strategic interactions in game theory. Generative sequence models can learn to predict these sequences well, but their complexity makes it hard to extract interpretable economic insights from their predictions.
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Sequence data is ubiquitous in economics — job histories in labor economics, diagnosis and treatment sequences in health economics, strategic interactions in game theory. Generative sequence models can learn to predict these sequences well, but their complexity makes it hard to extract interpretable economic insights from their predictions.
World leaders focused on ROI over hype this year, discussing sovereign AI, open ecosystems, and workplace change.
World leaders focused on ROI over hype this year, discussing sovereign AI, open ecosystems, and workplace change.
AI will have a profound impact on work, business, and the economy. In this industry brief, we provide a sampling of key research both at HAI and more broadly at Stanford that can help inform the future of work. You will find researchers studying how AI can be used to help teams collaborate, improve workplace culture, promote employee well-being, assist humans in dangerous environments, and more.
AI will have a profound impact on work, business, and the economy. In this industry brief, we provide a sampling of key research both at HAI and more broadly at Stanford that can help inform the future of work. You will find researchers studying how AI can be used to help teams collaborate, improve workplace culture, promote employee well-being, assist humans in dangerous environments, and more.
Stanford scholars respond to a federal RFI regarding a study to advance a more productive tech economy, highlighting why productivity has not been sufficiently understood or measured, especially from AI.
Stanford scholars respond to a federal RFI regarding a study to advance a more productive tech economy, highlighting why productivity has not been sufficiently understood or measured, especially from AI.
Matt Beane | Precision Proactivity: Measuring Cognitive Load in Real-World AI-Assisted Work
Systems like ChatGPT and Claude assist billions through proactive dialogue—offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive load shapes performance in AI assisted knowledge work.
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Systems like ChatGPT and Claude assist billions through proactive dialogue—offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive load shapes performance in AI assisted knowledge work.
All Work Published on Economy, Markets
Inside the 2026 AI Index Report | Stanford HAI
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
Inside the 2026 AI Index Report | Stanford HAI
The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.
HAI Co-Director James Landay and HAI Senior Fellow Erik Brynjolfsson discuss the impacts of AI in 2025 and the future of AI in 2026.
HAI Co-Director James Landay and HAI Senior Fellow Erik Brynjolfsson discuss the impacts of AI in 2025 and the future of AI in 2026.
Policy Strategies for Harnessing Productivity Potential of AI in the U.S.
This brief outlines a set of policy recommendations that could increase productivity growth, make the U.S. more competitive, and reduce income inequality.
This brief outlines a set of policy recommendations that could increase productivity growth, make the U.S. more competitive, and reduce income inequality.
Erik Brynjolfsson
Shana Lynch, HAI Head of Content and Associate Director of Communications, pointed out the "'era of AI evangelism is giving way to an era of AI evaluation,'" in her AI predictions piece, where she interviewed several Stanford AI experts on their insights for AI impacts in 2026.
Shana Lynch, HAI Head of Content and Associate Director of Communications, pointed out the "'era of AI evangelism is giving way to an era of AI evaluation,'" in her AI predictions piece, where she interviewed several Stanford AI experts on their insights for AI impacts in 2026.
In this testimony to the House Committee on the Budget’s hearing on “Machines, Artificial Intelligence, & the Workforce,” Susan Athey highlights AI’s vast promise and calls for continuous worker reskilling to ensure the technology tackles looming economic and societal challenges.
In this testimony to the House Committee on the Budget’s hearing on “Machines, Artificial Intelligence, & the Workforce,” Susan Athey highlights AI’s vast promise and calls for continuous worker reskilling to ensure the technology tackles looming economic and societal challenges.
