Faculty across the sector report deep concern that generative AI is eroding critical thinking, shortening attention spans and increasing academic‑integrity risks in undergraduate and graduate programs. An AAC&U survey and related reporting show widespread faculty anxiety about students’ overreliance on AI and a belief that institutions are not yet adequately preparing students or staff to use the technology responsibly. At the same time, AI’s footprint in research has produced concrete integrity issues: an analysis of NeurIPS 2025 proceedings identified dozens of papers with AI‑hallucinated citations, raising questions about peer review and authorship practices. Together, these developments point to an urgent need for institutions to invest in faculty training, clear AI‑use policies, robust assessment redesign, and strengthened peer‑review standards to preserve scholarly rigor and teaching quality.