New experts join Google’s AI & Economy team
New experts join Google’s AI & Economy team
新专家加入谷歌“人工智能与经济”团队
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. 诺贝尔奖得主菲利普·阿吉翁（Philippe Aghion）、阿贾伊·阿格拉瓦尔（Ajay Agrawal）教授及多位顶尖研究人员加入谷歌“人工智能与经济”（AI & Economy）项目，旨在深化我们对人工智能在全球经济活动中影响的科学认知。
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. 我们近期发布了“人工智能与经济 ATLAS v1.0”及其交互式开放访问网站，旨在了解人们如何在工作和日常生活中使用谷歌的 AI 工具。但追踪采用模式仅仅是个开始。随着人工智能重塑工作、商业和日常生活，驾驭这一变革需要一种结合细粒度数据与严谨经济学研究的多学科方法。
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. 为了进一步帮助组织、劳动者、研究人员和政策制定者理解这一复杂的转型，我们正在扩大“人工智能与经济研究项目”，并欢迎世界级的经济学家加入，以协助构建和领导这项工作。
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. 技术变革很少是一蹴而就的。我们的项目实时测量并分析这一演变过程，重点关注工作未来、生产力与增长、全球技术扩散以及人工智能对科学发现的影响等核心领域。
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. 扩大科学专业知识与参与度：执行如此规模的研究议程需要学术界、行业领袖和政策制定者之间的深度合作。为了扩大我们的科学能力并与这些多元化的利益相关者进行更深入的互动，我们汇集了顶尖的外部顾问、访问学者以及专门的研究项目领导团队。
Joining us as Academic Advisors and Visiting Fellows: 加入我们的学术顾问与访问学者包括：
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. 菲利普·阿吉翁（学术顾问）：阿吉翁教授是 2025 年诺贝尔经济学奖得主，也是欧洲工商管理学院（INSEAD）和法兰西公学院（Collège de France）的 Kurt Björklund 讲席教授。他将与诺贝尔奖得主迈克尔·斯彭斯（Michael Spence）及剑桥大学的戴安·科伊尔（Dame Diane Coyle）爵士一同加入我们的顾问小组，运用他在创新驱动增长和“创造性破坏”方面的开创性研究，为人工智能的长期宏观经济轨迹建模。
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. 阿贾伊·阿格拉瓦尔（访问学者）：阿格拉瓦尔教授加入我们的访问学者项目，并将与现任研究员、麻省理工学院经济系主任大卫·奥托（David Autor）密切合作。阿格拉瓦尔教授担任多伦多大学罗特曼管理学院的 Geoffrey Taber 创业与创新讲席教授及战略管理教授，他将推进我们在人工智能与科学发现经济学、人工智能与机器人技术，以及人工智能如何拓展人类福祉边界等方面的核心研究。
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: 为了指导实证项目并整合我们议程中的见解，我们还引入了两位知名研究人员担任谷歌“人工智能与经济研究项目”的总监：
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. 阿努·马德加夫卡（Anu Madgavkar）：马德加夫卡曾任麦肯锡全球研究院（MGI）合伙人，在领导劳动力市场、技术采用和结构性经济转型方面的全球研究拥有二十年经验。她经常为全球政府、多边机构和商业领袖提供咨询，并定期为世界经济论坛和联合国做出贡献。在谷歌，她将领导关于全球人工智能扩散、小企业生态系统以及生成式人工智能对劳动力影响的实证研究。
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. 丹尼尔·洛克（Daniel Rock）：洛克教授来自宾夕法尼亚大学沃顿商学院，是人工智能与劳动力领域的顶尖经济学家，曾合著多篇关于技术转型的基础性论文。作为 AI2050 早期职业研究员和麻省理工学院数字研究员，他将领导谷歌的实证研究，通过将前沿模型遥测技术与严谨的计量经济学相结合，分析企业生产力、劳动力重组和科学发现。
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. 阿努·马德加夫卡和丹尼尔·洛克将与谷歌 DeepMind AGI 经济学总监亚历克斯·伊马斯（Alex Imas）以及谷歌首席经济学家办公室“人工智能与经济”负责人赞娜·伊申科（Zanna Iscenko）共同领导谷歌的“人工智能与经济研究项目”。