Arizona State University’s W.P. Carey School of Business has rolled out a mandatory AI training program for professors and will require faculty use of AI tools starting this fall as part of a broader four‑pillar strategy to embed AI in curriculum, research and operations. Dean Ohad Kadan said the school moved quickly to add an MS in Artificial Intelligence in Business and expects AI to be integral to pedagogy and degree offerings. Separately, higher‑education institutions are adopting AI-driven retention tools aimed at identifying at‑risk students and personalizing interventions; vendors and campuses report early wins in proactive advising, 24/7 student support and predictive analytics. These systems, which use institutional data to flag signals of disengagement, are being tested to reduce the roughly 30% non‑completion rate that plagues many colleges. The parallel developments highlight two management imperatives for academic leaders: invest in faculty upskilling and governance for classroom AI, while simultaneously building the data infrastructure, privacy frameworks and evaluation metrics required to test retention‑focused AI interventions. Transparency to students and vendor auditability remain core institutional risks.