Universities are racing to adapt classroom and assessment infrastructure to AI-enabled academic misconduct and changing learning models. Recent reporting highlights proctoring adoption (Princeton) and increased public-facing AI literacy initiatives (Indiana University), while other campus decisions show universities are rethinking how they deliver instruction and measure learning. At the same time, higher education providers are moving toward AI-supported and hybrid learning environments, including classroom technology upgrades that support lecture capture and flexible spaces. The combined effect is that institutions must ensure integrity, privacy, and accessibility while modernizing learning experiences. Sector leaders also face a staffing and compliance reality: education systems are under pressure to deliver measurable outcomes even as federal enforcement capacity and assessment debates remain unsettled. Overall, the cluster points to higher ed moving from experimentation toward operational governance for AI—spanning both student learning access and exam integrity controls.