As AI rapidly reshapes higher education, many institutions are struggling to move from experimentation to sustainable, campuswide impact. This paper explores how colleges and universities can build the secure, scalable infrastructure needed to support AI for teaching, research and routine tasks. Drawing on expert insights and real-world perspectives, this thought leadership paper outlines practical strategies for balancing cloud and local compute, addressing data privacy and aligning technology with institutional culture.
