Higher education institutions are increasingly being pushed to formalize AI governance, risk oversight, and privacy controls as adoption spreads across campus functions. An AGB OnBoard piece argues that boards need faster, structure-first governance rather than waiting for perfect information, noting that AI is already being used informally by staff and embedded in third-party tools. Separately, the broader AI management risk conversation is tightening around ROI and accountability as organizations move away from crude performance metrics like token usage and toward measurable outcomes. The emerging point of emphasis is that AI governance should connect oversight, cybersecurity and privacy ownership, and board-level accountability. For universities, these dynamics translate into higher compliance expectations: clearer decision rights, evidence-based controls for vendor AI, and governance documentation that can withstand both internal review and external scrutiny.