Higher‑education IT leaders are rolling out AI‑risk frameworks to inventory where models run, what student and institutional data they access, and how to govern deployments across campus. The move responds to rapid AI adoption in advising, course design and administrative workflows and to concerns about data privacy and vendor control. Separately, three leading AI models flagged specific higher‑education roles as vulnerable to automation, focusing attention on faculty adjuncting, registrar tasks and some student‑services positions. Institutions are now balancing AI opportunity with workforce planning, governance structures, and investments in reskilling and oversight.