EY says a major barrier to effective AI rollout isn’t just adoption but what it calls the “tempo gap,” where machine speed outpaces human comprehension. In work with enterprise clients, EY Americas AI Strategy Leader John Dubois and colleagues argue that AI increasingly moves beyond responding to requests and begins generating recommendations and taking action before users fully process what’s happening. The firm says the experience can remain “technically correct” while still feeling unreliable, creating hesitation and double-checking. EY cites examples such as canceled flights automatically rebooking, financial applications accepting terms quickly, and patient forms where sensitive fields are auto-populated without sufficient context. EY frames the implication for campuses and higher education administrators that deploy AI tools in enrollment, learning analytics, or student services: systems design should prioritize pacing, transparency, and user review moments rather than maximizing automation speed. For IT governance and responsible use of AI, the “tempo gap” concept can be used to justify interface requirements, documentation, and human-in-the-loop controls that reduce errors and improve user trust.