Boston University Questrom is launching an online Master of Science in AI in Business built around business-problem framing rather than starting with tools, positioning “evergreen navigation” from diagnosis to execution. The program is led by Paul Carlile and restructures how students learn AI by teaching descriptive, diagnostic, and predictive reasoning before selecting methods and instruments. The same shift toward AI-aware instruction is spilling into broader business education. A University of Virginia Darden conference—organized with partners including American University’s Kogod School of Business—will convene business school leaders to examine whether the Socratic case method can still drive critical thinking when “knowledge” can be generated instantly by AI. Together, the developments show business schools moving from AI add-ons to changes in learning design—re-centering problem definition, judgment under uncertainty, and dialog-based pedagogy as students increasingly arrive with AI-enabled access to information.