Scholars and academic leaders are calling for a structural redesign of the professoriate to respond to rapidly advancing AI, fiscal constraints, changing student behaviors, and the postdoc bottleneck. Thought leaders argue that AI now automates tasks once reserved for faculty—grading, tutoring, and literature synthesis—creating pressure to redefine roles, tenure expectations, and workload models. University governance groups and associations are warning boards and presidents that failure to adapt faculty pipelines, reward systems, and reskilling programs will leave institutions exposed to talent gaps and mission drift. What to know: institutional leaders should develop targeted workforce strategies—reskilling, redeployment, and revised promotion metrics—to align faculty roles with AI‑augmented teaching and research.