AI and advanced data capabilities are expanding across higher education, but the real bottleneck is often trust—both in technology and in how institutions manage sensitive information. Separate reporting highlights how consumers and organizations are increasingly anxious about data access and leakage, which can influence whether people adopt new processes. While not higher-ed policy alone, the broader signal is relevant to campus data governance: when users fear personal data exposure, they delay actions and rely on least-risk alternatives. Translating this into higher education means institutions need to pair AI and automation with transparent security controls, user-facing data hygiene practices, and clear mechanisms for consent and deletion. The pressure is likely to intensify as colleges expand online services, integrate AI assistance into workflows, and face heightened compliance scrutiny around data handling and third-party vendor systems.