About the Event:

Join OpenAI at our research lab headquarters in San Francisco for a look at the cutting-edge tools that will unlock new paths to economic growth – if we think ambitiously and move quickly.

During the AI Economics event in the OpenAI Forum, our Chief Product Officer, Kevin Weil, and Chief Economist Ronnie Chatterji will walk you through new AI capabilities and the economics they could help generate for the country and local communities. Then we’re hoping to hear from you through a series of breakout discussions with other economic, energy and technology experts about the policy areas that are key to AI’s success. When you log into the OpenAI Forum event, you’ll be able to see the running list of RSVP’s.

Fulfilling OpenAI’s mission to create Artificial General Intelligence that benefits all of humanity requires deep, sustained collaboration with experts, which is why the OpenAI Forum exists. Last year, the OpenAI Forum hosted MIT professor David Autor for a conversation on “Expertise, Artificial Intelligence, and the Work of the Future” and LinkedIn Chief Economist Karin Kimbrough for a discussion about her company’s research paper called “Preparing the Workforce for Generative AI: Insights and Implications.” In 2025 we are excited to expand our community efforts in this domain, and co-create a positive future with AGI with you.

About the Speakers:

Ronnie Chatterji, Chief Economist @ OpenAI

Aaron “Ronnie” Chatterji, Ph.D., is OpenAI’s first Chief Economist. He is also the Mark Burgess & Lisa Benson-Burgess Distinguished Professor at Duke University, working at the intersection of academia, policy, and business. He served in the Biden Administration as White House CHIPS coordinator and Acting Deputy Director of the National Economic Council, shaping industrial policy, manufacturing, and supply chains. Before that, he was Chief Economist at the Department of Commerce and a Senior Economist at the White House Council of Economic Advisers. He is on leave as a Research Associate at the National Bureau of Economic Research and previously taught at Harvard Business School. Earlier in his career, he worked at Goldman Sachs and was a term member of the Council on Foreign Relations. Chatterji holds a Ph.D. from UC Berkeley and a B.A. in Economics from Cornell University.

Kevin Weil, Chief Product Officer, OpenAI

Kevin Weil is the Chief Product Officer at OpenAI, where he leads the development and application of cutting-edge AI research into products and services that empower consumers, developers, and businesses. With a wealth of experience in scaling technology products, Kevin brings a deep understanding of both consumer and enterprise needs in the AI space. Prior to joining OpenAI, he was the Head of Product at Instagram, leading consumer and monetization efforts that contributed to the platform's global expansion and success. Kevin's experience also includes a pivotal role at Twitter, where he served as Senior Vice President of Product. He played a key part in shaping the platform’s core consumer experience and advertising products, while also overseeing development for Vine and Periscope. During his tenure at Twitter, he led the creation of the company’s advertising platform and the development of Fabric, a mobile development suite. Kevin holds a B.A. in Mathematics and Physics from Harvard University, graduating summa cum laude, and an M.S. in Physics from Stanford University. He is also a dedicated advocate for environmental conservation, serving on the board of The Nature Conservancy.

Jason Kwon, Chief Strategy Officer @ OpenAI

Jason Kwon is the Chief Strategy Officer at OpenAI, overseeing policy, legal, and social impact research teams. Previously, he was the General Counsel of Y Combinator Continuity, Assistant General Counsel of Khosla Ventures and an associate attorney at Goodwin Procter. He was a software engineer and product manager before practicing law. Jason has a JD from UC Berkeley Law and a BA from Georgetown University.

Erik Brynjolfsson, Professor of Operations, Information & Technology, and Economics @ Stanford University Graduate School of Business

Dr. Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. He is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR) and holds appointments at the Stanford Graduate School of Business, Stanford Department of Economics, and a Research Associate at the National Bureau of Economic Research (NBER). One of the most-cited authors on the economics of information, Brynjolfsson was among the first researchers to measure productivity contributions of IT and the complementary role of organizational capital and other intangibles. He has done pioneering research on digital commerce, the Long Tail, bundling and pricing models, intangible assets and the effects of IT on business strategy, productivity and performance. Brynjolfsson speaks globally and is the author of nine books including, with co-author Andrew McAfee, best-seller The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies, and Machine, Platform, Crowd: Harnessing Our Digital Future as well as over 100 academic articles and five patents. He holds Bachelors and Masters degrees from Harvard University in applied mathematics and decision sciences and a Ph.D. from MIT in managerial economics. His papers can be found here. https://www.brynjolfsson.com/research

Noam Brown, Member of Technical Staff @ OpenAI

Noam Brown is a leading researcher in multi-agent reasoning at OpenAI, known for co-creating the first superhuman AIs for no-limit poker and the first human-level AI for the strategy game Diplomacy. He holds a Ph.D. in Computer Science from Carnegie Mellon University and previously worked as a Senior Research Assistant at the Federal Reserve Board, where he researched algorithmic trading in the foreign exchange market.

Tom Cunningham, Data Scientist @ OpenAI

Tom Cunningham is an economist and data scientist with expertise in strategy, antitrust, advertiser behavior, auction design, and network effects, including experimentation, modeling, and tipping points. He is currently a Data Scientist at OpenAI and has previously held roles at Twitter as a Senior Staff Data Scientist and at Facebook as both an Economist in Core Data Science and a Data Scientist. His academic background includes a Ph.D. in Economics from the London School of Economics, and he has also contributed to research and teaching as an Assistant Professor at Stockholm University and a Visiting Associate at Caltech.