Higher education leaders are confronting a computing bottleneck as AI and advanced analytics move from research add-ons to core academic workflows. Reporting focused on Marquette University’s technology leadership describes how high-performance computing needs can quadruple existing campus energy capacity, with infrastructure often not designed for modern large-scale training and scientific computation. The story highlights how limited resources affect pedagogy and research reliability, pointing to a student-built teaching assistant chatbot at Marquette that reportedly produced inaccurate coding assessments after extended training. Executives are weighing new investments in advanced compute for AI-powered labs and classrooms, while managing the cost and operational shift from legacy departmental servers. The development is likely to reshape budgeting for IT, sustainability planning, and curriculum design—especially as prospective students increasingly expect AI competency as part of program differentiators.