Higher education leaders discussed AI implementation priorities and risks at the ASU+GSV Summit in San Diego, underscoring a key operational constraint: AI is pushing faculty to redesign courses faster than traditional academic update cycles. Several presidents emphasized the need to pair AI adoption with the human capabilities that remain central to learning and employability. Bret Danilowicz, president of Radford University, said the speed of curriculum redevelopment could require changes to faculty workloads if updates move to yearly or semesterly cycles. Lisa Marsh Ryerson, president of Southern New Hampshire University, warned against treating AI as a licensing purchase and instead framed implementation around improving learner outcomes. The discussion also highlighted AI’s promise for students who struggle academically or face hiring barriers, with leaders arguing that structured AI skills can raise workforce readiness when paired with ethical guidance and practical training.