Universities are expanding access to generative artificial intelligence just as vendors are starting to shift more services from predictable per-user subscriptions to consumption-based pricing. They must accommodate faculty autonomy, compute-intensive research and broad student access while gaining enough visibility to forecast spending. As AI use expands, inefficient prompting, repeated agentic workflows and automatic use of premium models can become unpredictable operating expenses spread across academic departments, research programs and administrative units. Institutions are responding with different combinations of approved tools, access controls and campuswide coordination.
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