Universities are accelerating the rollout of AI-focused degree programs, with a growing gap between the speed of program creation and researchers’ ability to track curriculum quality. The reporting says that at least 74 AI majors and 89 minors are available on U.S. campuses, citing Northeastern University’s Center for Inclusive Computing. The push reflects both student demand and institutional urgency to appear “essential” in the AI age. Researchers say additional programs are poised to launch, including schools outside traditional tech hubs. For higher-ed governance, the immediate issue is that program growth is outpacing consensus on what AI degrees should teach and how—especially regarding workforce alignment, foundational literacy, ethics, and safe use of AI tools in coursework. Taken together with the broader policy and compliance questions around AI instruction and assessment, the surge in credentialing puts additional pressure on departments to document learning outcomes, update pedagogy, and demonstrate academic integrity safeguards.