In business education, faculty described how AI is changing what learning should look like—shifting from memorizing facts to using tools under pressure, while cautioning against “cognitive surrender.” At the Wharton School, marketing professor Stefano Puntoni said students worry about job-market impacts but faculty plan to reframe learning around decision-making and tool use rather than fundamental-truth instruction. Puntoni and Wharton colleagues emphasized that learning requires friction: when AI removes all friction, it also removes the effort that produces understanding. The discussion also referenced classroom AI approaches such as chatbot tutors built from lecture recordings, raising additional questions about privacy and data governance. For universities, the immediate takeaway is the need to update pedagogy, assessment, and privacy safeguards to align AI-enabled instruction with learning goals and institutional compliance requirements.