AI@GSB Initiative: Founding Scholars Panel
Stanford Graduate School of Business
Origins of the initiative 0:07
Sarah’s listening tour found students anxious about AI, their job prospects, and how fast the field was changing. Jenny said many were teaching themselves in dorm rooms and wanted Stanford to give them structure, not just headlines. That shaped AI at GSB around three needs: learn the tools, understand how AI was changing industries, and hear from outside thinkers such as Derek Thompson on whether AI was a bubble.
Students as teachers 6:02
Celeste said the program was built to be hands-on. Students learned specific tools, thought about when software should be used, and discussed the risks of probabilistic models. Practitioners also came in to talk about mistakes and fixes. A third thread focused on ethics, inclusion, and wider effects. Students then taught one another, which pushed them to think more carefully and let them apply what they learned to their own work.
Teaching and adaptation 14:30
The discussion turns to how the school’s human training matters more than ever. Leadership, management, and interpersonal skills help you read what motivates people, decide what to build, and think ahead about what AI will change. One speaker says the first question students ask is usually not about technology but about talent. Another says the best answer to fear about AI is to treat it like health: brush your teeth every day, keep learning, and make a daily commitment to the future. The message is simple. AI demands steady habits, not one big event.
AI-generated summary. It can be wrong or incomplete - check anything that matters against the original.

