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Features a key executive from a leading AI lab discussing AI's broad economic and scientific implications.
Science, Innovation, and Economic Growth: OpenAI’s Ronnie Chatterji
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On the Me, Myself, and AI podcast, OpenAI chief economist Ronnie Chatterji discusses AI's impact on science and the economy. He outlines AI's near-term economic boost from infrastructure and long-term productivity gains. Chatterji explores how AI can accelerate scientific research by helping scientists test ideas faster, integrate cross-disciplinary insights, and make better decisions on research priorities.
This episode explains how AI can speed up scientific discoveries and boost the economy. It covers how AI helps researchers test ideas quickly and combine knowledge from different fields, making innovation faster and more effective for everyone.
This episode offers insights into AI's economic implications, from infrastructure spending to enterprise integration. It's for business leaders and economists interested in AI's value creation potential. Chatterji's perspective connects to current frontier lab efforts in developing and deploying AI for productivity and scientific advancement, highlighting the economic drivers behind AI development.
- HostSam Ransbotham
- HostShervin Khodabandeh
- GuestRonnie ChatterjiChief Economist, OpenAI
- Guest: Ronnie Chatterji, OpenAI's Chief Economist
- Show: Me, Myself, and AI
- Length: 30 minutes
- Economic Impacts: Near-term infrastructure boost, longer-term productivity gains
- Research Benefits: Faster idea testing, cross-disciplinary insights, better problem selection
On this episode, OpenAI’s chief economist Ronnie Chatterji describes how artificial intelligence is reshaping both the economy and scientific innovation. Ronnie discusses the dual economic impacts of AI — the near-term boost from infrastructure investments like chips and data centers, and the longer-term productivity gains as AI tools integrate into enterprises and consumer life. Beyond consumer convenience, he notes, the key question for economists and corporate leaders alike is when — and how — AI will unlock sustained economic value inside organizations.
Tune in for Ronnie's perspective on how AI can help researchers test ideas faster, combine insights across disciplines, and make better choices about which problems to pursue. Read the episode transcript here.
Guest bio:
Aaron (Ronnie) Chatterji is OpenAI’s first chief economist. He is also the Mark Burgess & Lisa Benson-Burgess Distinguished Professor at Duke University. He served in the Biden administration to implement the CHIPS and Sciences Act and was acting deputy director of the National Economic Council. Before that, he was chief economist at the Department of Commerce and a senior economist at the White House Council of Economic Advisers. He also previously taught at Harvard Business School, worked at Goldman Sachs, and was a term member of the Council on Foreign Relations. Chatterji is on leave as a research associate at the National Bureau of Economic Research. He holds a Ph.D. from University of California, Berkeley and a B.A. in economics from Cornell University.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
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- productivity gains
- Ronnie Chatterji
- doing more with the same amount of work or resources
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Questions people ask
- What are the two economic impacts of AI discussed?
- AI offers a near-term boost from infrastructure investments like chips and data centers, and longer-term productivity gains as AI tools integrate into businesses and daily life.
- How can AI help scientific research?
- AI can help researchers test ideas faster, combine insights across different disciplines, and make better choices about which problems to pursue.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to MIT Sloan Management Review.






