AI & Analytics at Wharton
AI & Analytics Initiative at Wharton
Elevating the impact of business research in AI and analytics
The scope of AI and analytics in business is quickly expanding: big data now cuts across disciplines, industries, and economies. With the formation of the Wharton AI & Analytics Initiative (WAIAI), the School has committed to growing its AI and analytics research, curriculum, and in-the-field engagement. Led by Vice Dean Eric T. Bradlow, AI & Analytics at Wharton unites the School’s trail-blazing AI and analytics programs to create the next generation of business leaders who use data and real-world experiences to improve decision-making.
Areas of Focus
Bringing Academia
to Practice
Transforming business by partnering with our thought leaders.
Investing in the
Next Big Idea
Drive innovation with Wharton’s expertise in AI and analytics.
Learning
by Doing
Preparing the next generation of AI leaders.
Harnessing the
Power of AI for Good
Create a brighter future in AI and analytics.
Research Insights
As the undisputed leader in published academic business research, Wharton delivers tangible solutions that transform business practices and grow economic opportunities for all.
Knowledge at Wharton
AI & Analytics
Dive into topical articles, podcasts, and videos through Wharton’s online business journal.
The Different Philosophies Driving AI Regulation Today
Wharton’s Cornelia Walther explains how different countries are approaching AI regulation and what that means for business leaders.Read More
Transforming Health Care Logistics With Low-Cost AI
By forecasting demand and correcting for missing data, researchers from Wharton and Penn Engineering developed a low-cost AI tool that helps get life-saving medicines to the communities in Sierra Leone that need them most.Read More
The NFL’s Biggest 2026 Questions
Aaron Schatz, national NFL analyst at ESPN and chief analytics officer at FTN Fantasy, breaks down 2026 NFL projections, the teams poised to rise, and the factors that shape a season forecast.Read More
Can AI Companies Regulate Themselves?
Wharton professor of legal studies and business ethics Kevin Werbach explains why AI governance is so difficult, why companies can’t be left to regulate themselves, and what governments need to do as AI becomes more powerful.Read More
Centers & Labs
Recent Research From Pillar Faculty
Meet some of the Wharton faculty doing impactful work for AI and Analytics.
Eric T. Bradlow
Vice Dean of AI & Analytics at Wharton
The K.P. Chao Professor
Professor of Marketing
Chairperson, Wharton Marketing Department
Professor of Economics; Professor of Education; Professor of Statistics and Data Science
Ethan Mollick
Management
Lynn Wu
Operations, Information and Decisions
