Campus leaders and faculty are adapting pedagogy in response to generative AI. NYU Stern professor Panos Ipeirotis told colleagues he moved to AI‑resistant oral exams after written assignments began to resemble polished consultancy memos with little student understanding. That practical pivot mirrors wider sector planning: higher‑education analysts and educators published five predictions for how AI will shape teaching, assessment, administration, and credentialing in 2026, emphasizing measurable ROI, governance, and new assessment modalities. Institutions are accelerating investments in faculty development, examination redesign and academic integrity systems—shifts that will affect program design, accreditation reporting, and hiring for teaching‑focused roles as AI blurs lines between student work and tool-generated outputs.