🔍 Read the full analysis: Google’s AI & Economy Team Enlists New Experts To Drive Innovation on ThorstenMeyerAI.com
Get the latest gadgets delivered free — and shop member deals
- Fast, free delivery on millions of items
- Access to Prime Big Deal Days deals on October 6–7
- Prime Video, Amazon Music and more included
TL;DR
Google has appointed prominent economists Philippe Aghion and Ajay Agrawal to its AI & Economy program and named Anu Madgavkar and Daniel Rock as research directors. The move aims to deepen understanding of AI’s effects on productivity, labor markets, and scientific discovery, though project specifics remain undisclosed.
Google has expanded its AI & Economy Research Program by appointing renowned economists Philippe Aghion and Ajay Agrawal as advisors and naming Anu Madgavkar and Daniel Rock as research directors. For more details, see the original analysis. This move aims to enhance the study of AI’s influence on productivity, labor markets, and scientific discovery, although specific project timelines and governance details have not been disclosed.
On September 18, 2026, Google announced the addition of economists Philippe Aghion, a Nobel laureate known for his work on innovation-led growth, and Ajay Agrawal, a leading researcher from the University of Toronto, to its AI & Economy program. Both will serve as academic advisers and visiting fellows, collaborating with Google researchers to analyze AI’s long-term macroeconomic effects, including productivity and technological change.
Simultaneously, Google appointed Anu Madgavkar from McKinsey and Daniel Rock from Wharton as research directors. Madgavkar will focus on AI diffusion, small business impacts, and workforce effects globally, while Rock will study enterprise productivity, labor organization, and scientific progress. These appointments are intended to broaden the program’s empirical research efforts and connect academic insights with industry data.
The expanded team will work alongside Google DeepMind’s Alex Imas and Google’s Chief Economist’s Office’s Zanna Iscenko, aiming to produce new studies and updates to the open-access AI & Economy ATLAS platform. However, Google has not revealed specific research timelines, data access policies, or peer-review procedures, raising questions about independence and transparency.
Implications for AI’s Economic Research and Policy
This expansion signals Google’s strategic investment in understanding AI’s economic impact through high-profile academic collaboration. By integrating top economists and empirical researchers, Google aims to generate data-driven insights on AI adoption, productivity, and labor market shifts. The initiative could influence policy decisions, corporate strategies, and public understanding of AI’s societal effects. However, the reliance on company-controlled data and limited disclosure about research governance raise concerns about the independence, reproducibility, and broader applicability of the findings.
external hard drives for data backup
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Background on Google’s AI & Economy Initiative
Google launched its AI & Economy Research Program with the release of the ATLAS v1.0 platform, an open-access tool showing how users adopt and utilize Google’s AI tools in work and daily life. The program aims to explore AI’s role in productivity, innovation, and economic growth, connecting academic researchers, industry leaders, and policymakers. The recent appointments mark a significant step toward deepening empirical research and expanding the program’s scope, although specific methodologies and data-sharing policies remain unspecified.
Prior to this, Google has been investing in AI research and data collection, but the new hires suggest a more targeted effort to measure AI’s macroeconomic effects. The initiative comes amid broader industry and government interest in regulating AI and understanding its societal impacts, making Google’s research potentially influential but also subject to scrutiny regarding transparency and independence.
“Tracking adoption patterns is only the beginning.”
— Google AI Research
AI research books for professionals
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Unanswered Questions About Research Independence
It remains unclear whether the new researchers will have unrestricted access to Google’s proprietary data or if their work will undergo external peer review. The specifics of research governance, publication rights, and transparency measures have not been disclosed, raising questions about the independence and reproducibility of the findings. Moreover, the scope and frequency of updates to the ATLAS platform, as well as how Google will account for competing AI systems, are still unknown.
productivity software for small businesses
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Next Steps for Google’s AI & Economy Research
Google is expected to publish detailed research questions, methodologies, and datasets in the coming months, with initial empirical results likely to follow. The company may also clarify data access policies and peer-review procedures, which will be critical for assessing research credibility. External scholars and policymakers will be watching for transparency and reproducibility in the upcoming studies, as well as how Google’s findings influence public policy and industry practices.
As an affiliate, we earn on qualifying purchases.
Key Questions
What are the main goals of Google’s expanded AI & Economy program?
The program aims to measure AI’s effects on productivity, labor markets, scientific discovery, and economic growth by combining company data with academic research. It seeks to inform policy, business strategies, and understanding of AI’s societal impacts.
Will the research be independent and peer-reviewed?
Google has not specified whether the research will undergo external peer review or how it will ensure independence. The transparency of data access, methodologies, and publication processes remains unclear.
What data will researchers have access to?
It is not yet clear whether researchers will have unrestricted access to Google’s proprietary usage data or if their work will be limited to aggregated or anonymized datasets. Details on data governance are pending.
How might this research influence AI regulation?
If the research produces credible, transparent insights, it could shape policy debates on AI regulation, workforce training, and innovation incentives. However, questions about data transparency and independence could affect its influence.
When will Google publish the first results from this expanded team?
No specific timeline has been announced. The company indicated that detailed research questions and datasets will be shared in the coming months, with initial findings expected thereafter.
Primary source: Google AI · via ThorstenMeyerAI.com
Fall Picks
fall essentials
As an affiliate, we earn on qualifying purchases.
