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How AI is driving economic growth and creating new markets.
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.
HAI Director James Landay discusses historical technological impacts on productivity growth.
HAI Director James Landay discusses historical technological impacts on productivity growth.

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.
Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
Scientific progress is a key driver of economic growth and prosperity. There is great excitement- but also concerns- about the impacts of AI on science, but so far little data. We provide early insights on this from three data sources: a sample of 15 million Gemini interactions, an inventory of over 2,600 specialized AI models across disciplines, and a survey of over 600 scientists.
Director of the Stanford Digital Economy Lab and Senior Fellow at Stanford HAI Erik Brynjolfsson discusses the fallacy of thinking "the only way that you get productivity from A.I. is by removing labor costs,” arguing that business can return larger gains through AI use for employees' productivity, rather than replacing workers.
Director of the Stanford Digital Economy Lab and Senior Fellow at Stanford HAI Erik Brynjolfsson discusses the fallacy of thinking "the only way that you get productivity from A.I. is by removing labor costs,” arguing that business can return larger gains through AI use for employees' productivity, rather than replacing workers.

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.




The annual report reveals a field hitting breakthrough capabilities while raising urgent questions about environmental costs, transparency, and who benefits from the technology.
The annual report reveals a field hitting breakthrough capabilities while raising urgent questions about environmental costs, transparency, and who benefits from the technology.


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.
