News from AI & Analytics at Wharton
How Wharton Is Preparing Students for an AI-Driven Financial Future
In his course, AI and Data Science in Finance, Associate Professor Winston Dou connects cutting-edge research with real-world financial challenges, from autonomous trading to market prediction. Learn how students are building the skills to navigate an AI-driven financial future and how those ideas are helping shape the vision for the Wharton AI in Finance Lab. Read More
Learning by Building: Inside Wharton’s Generative AI Studio
The Wharton Generative AI Labs (GAIL) aims to explore how generative AI is reshaping the way we build, design, and think in the age of AI. Its flagship student program, the Generative AI Studio, offers a different kind of academic experience: one that replaces lectures and exams with prototyping, critique, and weekly iteration.“It’s a creative ...Read More
Wharton AI & Analytics Initiative Welcomes New Advisory Board Members
The Wharton AI & Analytics Initiative (WAIAI) is pleased to announce the addition of seven distinguished leaders to our Advisory Board: Rick Bates, WG’96, Dr. Nisha Chakravarty, C01, W01, GRD22, Brian Householder, Rishi Jain, WG’04, Steven Sarracino, WG’06, Marvin Tien, WG’04, and Lin Yuan, WG’22. Read More
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Research and Insights
The Hidden Financial Risks of the AI Boom
Joao Gomes, Wharton professor of finance and senior vice dean of research, centers, and academic initiatives, explains why the Federal Reserve needs to pay closer attention to how the massive AI boom is being financed.Read More
Should AI Companies Be Supervised Like Banks?
Peter Conti-Brown, professor at the Wharton School, explains how bank-style supervision and stress testing could help manage the risks of increasingly powerful AI companies.Read More
How AI Is Reshaping Quantitative Finance
Wharton’s Nikolai Roussanov and Goldman Sachs’ Ingrid Tierens discuss how AI is transforming quantitative finance, from investment research and data analysis to the future of quantitative investing.Read More
AI Is Producing More Software. Why Isn’t It Being Used?
A Wharton study finds that while AI dramatically speeds up software development, human bottlenecks prevent many of those gains from reaching customers.Read More
