Carnegie Mellon’s Tepper School of Business is embedding AI across curriculum with 10 custom-built Interactive Learning Labs designed to use generative systems as Socratic coaches, stakeholder personas and environment simulators. The labs log student prompts and decisions to support debriefs and assessment, reframing AI as a structured pedagogical tool rather than an ad hoc tutor. Complementing campus-level experiments, new higher-education AI playbooks advise institutional leaders on governance, data use, infrastructure and learning design—urging boards and presidents to move from abstract caution to operational oversight. The guidance emphasizes staff training, student integrity policies, and pilot governance to scale AI without eroding academic standards. The twin developments mark a pivot from policy debate to implementation: institutions are moving quickly to codify AI roles in teaching, assessment, and campus services while simultaneously wrestling with oversight, faculty training, and ethical guardrails.