Campus technology leaders are increasingly questioning whether AI spending is delivering measurable value while simultaneously heightening cybersecurity concerns. A 2026 survey of CTOs found nearly half say the pace of technology change is unsustainable without additional resources, and almost all expect IT costs to rise over the next two years. The survey also found that by 2030 the top institutional risks include recruiting and retaining IT talent, cybersecurity threats, and cost trajectories. Reliance on AI is growing, but many leaders remain concerned about value realization, academic integrity, and the possibility that AI adoption expands the attack surface. In parallel, the findings point to persistent learning-management-system dependence and experimentation with alternatives. That tension—between innovation and risk—has become acute as campuses rely on complex platforms like LMS systems for instruction, grading, and student access. For university executives and boards, the message is that governance expectations for AI and digital learning tools are now inseparable from IT resourcing, security planning, and operational continuity.