We lately launched the AI & Economy ATLAS v1.0 and its interactive open-access site to grasp how persons are utilizing Google’s AI instruments at work and of their every day lives. However monitoring adoption patterns is just the start. As synthetic intelligence reshapes jobs, companies, and on a regular basis lives, navigating this shift requires a multidisciplinary method that unites fine-grained information with rigorous financial inquiry.
To additional assist organizations, staff, researchers, and policymakers make sense of this complicated transition, we’re increasing our AI & Economy Research Program, and welcoming world-class economists to assist construct and lead this work.
Technological shifts are hardly ever instantaneous. Our program measures and analyzes this evolution in actual time, specializing in core areas together with the way forward for work, productiveness and development, world expertise diffusion, and AI’s impression on scientific discovery.
Increasing our scientific experience and engagement
Executing a analysis agenda of this scope requires deep collaboration amongst academia, business leaders, and policymakers. To increase our scientific capability and interact extra deeply with these numerous stakeholders, we’re bringing collectively main exterior advisors, visiting students, and devoted analysis program management. Becoming a member of us as Tutorial Advisors and Visiting Fellows:
- Philippe Aghion, Tutorial Advisor: Professor Aghion, 2025 Nobel Laureate in Economics and the Kurt Björklund Chaired Professor at INSEAD and the Collège de France, joins our advisory group alongside Nobel Laureate Michael Spence and Cambridge’s Dame Diane Coyle, making use of his pioneering work on innovation-led development and artistic destruction to mannequin AI’s long-term macroeconomic trajectory.
- Ajay Agrawal, Visiting Fellow: Professor Agrawal joins our Visiting Fellows program, the place he’ll collaborate intently with David Autor, a present Fellow and head of MIT’s Division of Economics. Professor Agrawal, who holds the Geoffrey Taber Chair in Entrepreneurship and Innovation and is a Professor of Strategic Administration on the College of Toronto’s Rotman Faculty of Administration, will advance our core analysis on the economics of AI and scientific discovery, AI and robotics, and the way AI can increase the frontier of human welfare.
To steer empirical initiatives and combine insights throughout our agenda, we’re additionally introducing two famend researchers as Administrators of Google’s AI & Financial system Analysis Program:
- Anu Madgavkar: Previously a Associate on the McKinsey International Institute (MGI), Madgavkar joins Google following a two-decade profession main world analysis on labor markets, expertise adoption, and structural financial transitions. She has continuously suggested governments, multilateral establishments, and enterprise leaders worldwide, contributing commonly to the World Financial Discussion board and the United Nations. At Google, she’s going to lead empirical analysis on world AI diffusion, small enterprise ecosystems, and the workforce impacts of generative AI.
- Daniel Rock: Becoming a member of from the Wharton Faculty of the College of Pennsylvania, Professor Rock is a number one economist on AI and labor, having co-authored foundational papers on technological transitions. An AI2050 Early Profession Fellow and MIT Digital Fellow, he’ll lead Google’s empirical analysis, bridging frontier mannequin telemetry with rigorous econometrics to investigate enterprise productiveness, labor restructuring, and scientific discovery.
Anu Madgavkar and Daniel Rock will lead Google’s AI & Financial system Analysis Program alongside Alex Imas, Director of AGI Economics at Google DeepMind, and Zanna Iscenko, AI & Financial system Lead, in Google’s Chief Economist’s Workplace.
Shaping future analysis and collective impression
Maximizing AI’s financial alternative whereas mitigating disruption requires sustained partnership. This expanded group of consultants will function a scientific bridge, straight informing future ATLAS updates and empirical analysis.
Collectively, we are going to give attention to figuring out the organizational practices, public coverage frameworks, and coaching applications wanted to make sure AI upskills staff, democratizes experience, and drives broadly shared prosperity.
To be taught extra, learn our newest analysis publications, and work together with our newest world information, go to ai.google/economy.
