Universities are accelerating discussions about AI literacy and infrastructure. Jay Rothman, president of the University of Wisconsin System, urged campuses to integrate AI into curricula and to prepare students with durable skills—critical thinking and problem solving—while the Board of Regents scheduled robust sessions on governance and strategy. At the same time, IT leaders are focused on practical capacity issues: storage, compute and cloud contracts must be reconfigured to handle AI workloads. Recent guidance for higher‑education IT teams outlines steps to optimize storage and compute—right‑sizing clusters, negotiating flexible cloud terms, and prioritising GPU access—to make institutions AI‑ready without locking into unsustainable costs. The confluence of faculty training and technical investment is reshaping capital plans and faculty development priorities across campuses.