구글이 노벨 경제학상 수상자 필립 아기옹과 애제이 아그라왈 교수 등 세계적 석학들을 'AI & 이코노미' 연구 프로그램에 영입했다. 이들은 AI가 일자리, 생산성, 글로벌 기술 확산에 미치는 영향을 실시간 데이터로 분석하며, 기업·노동자·정책입안자가 AI 전환기를 헤쳐나가도록 돕는다. 관련 연구와 데이터는 ai.google/economy에서 공개된다.
번역된 본문
구글은 최근 사람들이 업무와 일상에서 구글의 AI 도구를 어떻게 사용하는지 파악하기 위해 'AI & 이코노미 ATLAS v1.0'과 대화형 오픈액세스 사이트를 출시했다. 하지만 도입 패턴 추적은 시작에 불과하다. 인공지능이 일자리, 기업, 일상을 재편함에 따라 이러한 변화를 탐색하려면 정밀한 데이터와 엄밀한 경제학적 연구를 결합한 학제간 접근이 필요하다. 조직, 노동자, 연구자, 정책입안자가 이 복잡한 전환을 이해하도록 돕기 위해 우리는 AI & 이코노미 연구 프로그램을 확장하고, 세계적 수준의 경제학자들을 영입해 이 작업을 이끌고 있다.
기술의 변화는 순간적으로 일어나는 경우가 드물다. 우리 프로그램은 이러한 진화를 실시간으로 측정·분석하며, 일의 미래, 생산성과 성장, 글로벌 기술 확산, AI의 과학적 발견에 대한 영향 등 핵심 영역에 집중한다.
이러한 규모의 연구 어젠다를 수행하려면 학계, 업계 리더, 정책입안자 간의 깊은 협력이 필요하다. 과학적 역량을 확장하고 다양한 이해관계자와 더 깊이 소통하기 위해 저명한 외부 자문위원, 방문 학자, 전담 연구 프로그램 리더십을 결집하고 있다.
학술 자문위원 및 방문 펠로우로 합류하는 인물은 다음과 같다.
필립 아기옹(Philippe Aghion), 학술 자문위원: 2025년 노벨 경제학상 수상자이자 INSEAD와 콜레주 드 프랑스의 커트 비욕클룬드 석좌 교수인 아기옹 교수는 노벨상 수상자 마이클 스펜스와 케임브리지의 다임 다이앤 코일과 함께 자문단에 합류한다. 혁신 주도 성장과 창조적 파괴에 대한 그의 선구적인 연구를 AI의 장기적 거시경제적 궤적 모델링에 적용하게 된다.
애제이 아그라왈(Ajay Agrawal), 방문 펠로우: 아그라왈 교수는 현재 펠로우이자 MIT 경제학과 학장인 데이비드 오터(David Autor)와 긴밀히 협력하게 된다.
New experts join Google’s AI & Economy team Sep 18, 2026 | x.com Facebook LinkedIn Mail Copy link 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. Scott Strand Head of StratOps and Special Projects, Technology & Society Zanna Iscenko AI & Economy Lead, Chief Economist's Office Share x.com Facebook LinkedIn Mail Copy link Read AI-generated summary 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. New directors Anu Madgavkar and Daniel Rock will lead this effort, focusing on global AI adoption, labor market shifts, and enterprise growth. You can explore their latest data and research publications at ai.google/economy to see how these insights shape future policy and workforce training. Summaries were generated by Google AI. Generative AI is experimental. Google’s "New experts join Google’s AI & Economy team" article details their expanded research program. Google is hiring world-class economists to study how AI changes jobs and the economy. New directors and academic advisors will analyze AI’s impact on productivity and global growth. This team will use real-time data to help workers and policymakers navigate AI shifts. You can explore their latest research and data at ai.google/economy to learn more. Summaries were generated by Google AI. Generative AI is experimental. Google is hiring top economists to study how AI changes our jobs and the economy. These experts will track how people use AI tools to help businesses and workers adapt to the future. By analyzing this data, they hope to make sure AI helps everyone succeed. You can check out their latest research and findings on their website. Summaries were generated by Google AI. Generative AI is experimental. Explore other styles: General summary Bullet points Basic explainer 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. Expanding our scientific expertise and engagement 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: Philippe Aghion, Academic 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, applying his pioneering work on innovation-led growth and creative destruction to model AI's long-term macroeconomic trajectory. Ajay Agrawal, Visiting Fellow: Professor Agrawal joins our Visiting Fellows program, where he will collaborate closely with David Autor, a current Fellow and head of MIT’s Department of Economics. Professor Agrawal, who holds the Geoffrey Taber Chair in Entrepreneurship and Innovation and is a Professor of Strategic Management at the University of Toronto’s Rotman School of Management, will advance our core research on the economics of AI and scientific discovery, AI and robotics, and how AI can expand the frontier of human welfare. 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: Formerly a Partner at the McKinsey Global Institute (MGI), Madgavkar joins Google following a two-decade career leading global research on labor markets, technology adoption, and structural economic transitions. She has frequently advised governments, multilateral institutions, and business leaders worldwide, contributing regularly to the World Economic Forum and the United Nations. At Google, she will lead empirical research on global AI diffusion, small business ecosystems, and the workforce impacts of generative AI. Daniel Rock: Joining from the Wharton School of the University of Pennsylvania, Professor Rock is a leading economist on AI and labor, having co-authored foundational papers on technological transitions. An AI2050 Early Career Fellow and MIT Digital Fellow, he will lead Google's empirical research, bridging frontier model telemetry with rigorous econometrics to analyze enterprise productivity, labor restructuring, and scientific discovery. 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. Shaping future research and collective impact 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 . Get the latest news from Google in your inbox Sign up for our newsletters with product updates, event information, special offers, and more. Done. Just one step more. Check your inbox to confirm your subscription. You can also subscribe with a different email address . Your information will be used in accordance with Google's privacy policy. You may opt out at any time. Posted in: