Higher education is moving from experimental AI pilots to formal strategy: a sector‑level AI playbook for campuses and concrete classroom deployments like Carnegie Mellon’s Tepper School of Business AI labs. Institutions are codifying governance, pedagogical roles for AI, and infrastructure investments to accelerate AI‑driven instruction and research. Tepper has deployed 10 custom AI‑powered Interactive Learning Labs that position models as coaches, stakeholder personas, and environmental simulators to replicate real‑world ambiguity. The playbook guidance recommends governance for data, model usage, and learning‑integrity safeguards—tactical steps campuses need as AI becomes part of teaching, assessment and administration. Deans and academic leaders are now balancing rapid adoption with faculty training, assessment integrity, and cross‑campus policy to ensure AI augments learning without undermining academic standards.