Stanford Graduate School of Business leads a cross-school analysis of AI course offerings among top MBA programs, with 30 identified AI-related courses—nearly double the count at the second-ranked school. The analysis, published April 14 by GMAT Panda founder Graeme O’Connor, cataloged 191 named AI-related courses across U.S., Europe, and Asia. Darden ranked second with 25 courses, while Wharton followed with 15, reflecting its newly launched MBA major in artificial intelligence for business. The dataset also showed that AI adoption is structurally shaped by electives: 157 of 166 courses classified with medium or high confidence were electives, and only nine were in required core. The report underscores a curriculum shift that is fast but uneven across schools, noting that Harvard Business School identified five AI courses, including a required 2025 DSAIL (Data Science and AI for Leaders) course. Schools like Chicago Booth and Yale SOM appeared in the lower tier. For deans and curriculum committees, the key governance detail is how learning outcomes are being built—largely through optional pathways rather than mandatory exposure for every student.