Universities are moving beyond pilots to embed AI literacy, governance, and infrastructure at scale. Faculty training programs and bold initiatives like Ohio State’s AI fluency mandate show how higher education is treating AI not as an add-on, but as a core academic competency.
Institutions are moving beyond experimentation and into structured adoption of AI. Rice University’s new AI Hub and degree programs, paired with the AI Academy’s replicable faculty training model, show how infrastructure and literacy can be aligned. At the same time, global policies — from UNESCO’s guidance to India’s doctoral AI-use rules — highlight the urgency of building both trust and transparency. The lesson is clear: successful AI in higher education depends on linking strategy, faculty development, and governance into one coherent path forward.
