Advancing a More Productive Tech Economy
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.
In collaboration with
Executive Summary
In this response to a request for information by the National Institute of Standards and Technology (NIST) on a study to advance a more productive tech economy, scholars from Stanford HAI and the Digital Economy Lab highlight the importance of this research area as remote work, AI, and other new technologies change the job landscape and the future of the economy. They discuss why productivity has not been sufficiently understood or measured, especially from AI; how AI is still emerging and may help workers and economic growth; and the need for immigration reform to attract and retain top talent.
Related Publications
This brief presents an analysis of Chinese AI startup DeepSeek’s talent base and calls for U.S. policymakers to reinvest in competing to attract and retain global AI talent.
This brief presents an analysis of Chinese AI startup DeepSeek’s talent base and calls for U.S. policymakers to reinvest in competing to attract and retain global AI talent.
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.
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.
Toward Responsible AI in Health Insurance Decision-Making
This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.
This brief proposes governance mechanisms for the growing use of AI in health insurance utilization review.