Nobel Laureate Philippe Aghion, Professor Ajay Agrawal, and leading researchers join Google’s AI & Economy program to expand our scientific understanding of AI’s impact on economic activity worldwide.
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We recently launched the AI & Economy ATLAS v1.0 and its interactive open-access site to understand how people are using Google’s AI tools at work and in their daily lives. But tracking adoption patterns is only the beginning. As artificial intelligence reshapes jobs, businesses, and everyday lives, navigating this shift requires a multidisciplinary approach that unites fine-grained data with rigorous economic inquiry.
To further help organizations, workers, researchers, and policymakers make sense of this complex transition, we are expanding our AI & Economy Research Program, and welcoming world-class economists to help build and lead this work.
Technological shifts are rarely instantaneous. Our program measures and analyzes this evolution in real time, focusing on core areas including the future of work, productivity and growth, global technology diffusion, and AI’s impact on scientific discovery.
Executing a research agenda of this scope requires deep collaboration among academia, industry leaders, and policymakers. To expand our scientific capacity and engage more deeply with these diverse stakeholders, we are bringing together leading external advisors, visiting scholars, and dedicated research program leadership. Joining us as Academic Advisors and Visiting Fellows:
To steer empirical projects and integrate insights across our agenda, we are also introducing two renowned researchers as Directors of Google’s AI & Economy Research Program:
Anu Madgavkar and Daniel Rock will lead Google's AI & Economy Research Program alongside Alex Imas, Director of AGI Economics at Google DeepMind, and Zanna Iscenko, AI & Economy Lead, in Google's Chief Economist's Office.
Maximizing AI’s economic opportunity while mitigating disruption requires sustained partnership. This expanded team of experts will serve as a scientific bridge, directly informing future ATLAS updates and empirical research.
Together, we will focus on identifying the organizational practices, public policy frameworks, and training programs needed to ensure AI upskills workers, democratizes expertise, and drives broadly shared prosperity.
To learn more, read our latest research publications, and interact with our latest global data, visit ai.google/economy.
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