Across higher education, artificial intelligence is too often being governed as though it were primarily an academic integrity issue. It is clearly not just that. AI is already reshaping how universities teach, advise, recruit, admit, communicate, assess risk, and make decisions. Yet many institutions continue to approach it through fragmented policies, uneven faculty guidance, and conversations narrowly focused on misuse in student work. That is a strategic gap our industry will soon regret. AI is rapidly moving beyond the classroom and into the core of institutional operations. This important shift demands attention not only from faculty, but from within senior leadership and governing boards. Universities that fail to establish a coherent, enterprise-wide AI strategy, supported by appropriate technical architecture, risk more than policy inconsistency.
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