Economy, Markets
How AI is driving economic growth and creating new markets.
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.
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.
All Work Published on Economy, Markets
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.
Erik Brynjolfsson
Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, advocates for humans as an end and not just a means to an end, emphasizing augmentation of human tasks for true economic gains.
Erik Brynjolfsson, HAI Senior Fellow and Director of the Stanford Digital Economy Lab, advocates for humans as an end and not just a means to an end, emphasizing augmentation of human tasks for true economic gains.
Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.
Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.
The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.
The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.
