Higher education IT leaders face a “stability paradox” as campuses push faster adoption of AI and digital transformation while still relying on core systems that must not fail, according to a new industry briefing. ListEdTech reports that universities are prioritizing investments in data and storage, identity and access management, and core learning and student-facing platforms—yet governance and security requirements can slow experimentation. The central risk: AI-driven workflows often depend on stable identity, registration, and learning systems. The framing highlights how AI innovation plans can conflict with uptime and compliance requirements, particularly when student data, authentication, and grading systems are involved. The issue matters for higher education because AI rollouts increasingly touch regulated systems, and failures can quickly affect enrollment processing, access to instruction, and student support operations.