KPMG’s global risk chief outlined a governance framework for boards facing the AI era, arguing that oversight models have not kept pace with AI’s shift from experimentation to core strategy and operations. The piece describes the need for basic AI fluency among directors and warns against treating AI as a fringe technology. The article emphasizes board responsibility for understanding dependencies and emerging risks as AI becomes embedded in vendors, third-party tools, and automated workflows. It also calls for human accountability—suggesting that governance must address how organizations redesign work so people remain responsible for meaningful decisions. For institutions, the framework maps directly onto higher education priorities like data privacy, risk controls, and academic integrity as universities scale AI use across admissions support, learning analytics, advising, and administrative automation. The reporting implies that governance questions are moving from procurement checklists to operational oversight—an area that is likely to intersect with accreditation expectations and internal audit structures.