KPMG’s global risk leadership is urging boards to redesign AI oversight as AI moves from novelty to core enterprise activity. In its guidance, the firm argues that governance models are no longer fit for purpose, and that directors need enough AI fluency to challenge assumptions, understand dependencies, and see where risk accumulates. The report emphasizes that AI oversight should shift from monitoring efficiency claims to focusing on strategic governance, capital allocation, risk management, and resilience. It also highlights the need to prevent “AI slop” and ensure human accountability remains embedded in decision workflows. For higher education governance—trustees, system boards, and academic leadership—the takeaway is operational: clearer policies are needed on procurement, third-party tools, data handling, and accountability when AI is used in student services, research support, and learning technologies.