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Google Expands AI & Economy Research Program with Top Economists

Google adds Nobel Laureate Philippe Aghion and other leading economists to its AI & Economy Research Program, focusing on AI's impact on jobs…

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What this piece is grounded in

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Google is expanding its AI & Economy Research Program by adding world-class economists and academic advisors.

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Anu Madgavkar and Daniel Rock will lead the program as Directors, focusing on global AI adoption, labor market shifts, and enterprise growth.

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Nobel Laureate Philippe Aghion and Professor Ajay Agrawal are joining as Academic Advisors and Visiting Fellows.

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The program recently launched the AI & Economy ATLAS v1.0 and its interactive open-access site.

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Google Strengthens AI & Economy Research Program

Google is expanding its AI & Economy Research Program by adding world-class economists and academic advisors to better track how artificial intelligence impacts jobs and productivity. The program, which recently launched the AI & Economy ATLAS v1.0 and its interactive open-access site, aims to understand how people are using Google's AI tools at work and in their daily lives. This expansion brings together leading external advisors, visiting scholars, and dedicated research program leadership to deepen collaboration among academia, industry leaders, and policymakers.

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New Directors and Academic Advisors Join the Team

Anu Madgavkar and Daniel Rock will lead Google's AI & Economy Research Program as Directors, working alongside Alex Imas, Director of AGI Economics at Google DeepMind, and Zanna Iscenko, AI & Economy Lead in Google's Chief Economist's Office. The program also welcomes Nobel Laureate Philippe Aghion, Professor Ajay Agrawal, and other leading researchers as Academic Advisors and Visiting Fellows. This multidisciplinary team will focus on core areas including the future of work, productivity and growth, global technology diffusion, and AI's impact on scientific discovery.

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Focus on Real-Time Measurement and Analysis

The expanded program measures and analyzes technological shifts in real time, recognizing that these changes are rarely instantaneous. By uniting fine-grained data with rigorous economic inquiry, the team aims to help organizations, workers, researchers, and policymakers make sense of the complex transition driven by AI. The research will directly inform future ATLAS updates and empirical research, identifying organizational practices, public policy frameworks, and training programs needed to ensure AI upskills workers and democratizes expertise.

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Commitment to Broadly Shared Prosperity

Google's expanded AI & Economy Research Program is designed to maximize AI's economic opportunity while mitigating disruption through sustained partnership. The team of experts will serve as a scientific bridge, focusing on ensuring AI drives broadly shared prosperity. By analyzing how people use AI tools, the program hopes to help businesses and workers adapt to the future, making sure AI helps everyone succeed. The latest data and research publications are available at ai.google/economy.

Questions readers ask

Who are the new directors of Google's AI & Economy Research Program?

Anu Madgavkar and Daniel Rock will lead Google's AI & Economy Research Program as Directors. They will work alongside Alex Imas, Director of AGI Economics at Google DeepMind, and Zanna Iscenko, AI & Economy Lead in Google's Chief Economist's Office. The program also welcomes Nobel Laureate Philippe Aghion and Professor Ajay Agrawal as Academic Advisors and Visiting Fellows.

What is the focus of Google's expanded AI & Economy Research Program?

The program focuses on measuring and analyzing how artificial intelligence impacts jobs, productivity, and economic activity worldwide. Core areas include the future of work, productivity and growth, global technology diffusion, and AI's impact on scientific discovery. The research aims to help organizations, workers, researchers, and policymakers navigate the transition driven by AI.

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