US Colleges Race to Launch AI Degrees Amid Industry Uncertainty

The surge in AI-focused curriculum reflects a broader ambition within higher education to remain tethered to an industry that shows no signs of slowing. Researchers at Northeastern University’s Center for Inclusive Computing identify at least 74 majors and 89 minors now available nationwide, with another dozen institutions preparing to launch programs this year. This growth spans far beyond traditional tech hubs, as regional schools attempt to capture demand for specialized talent.

Academic approaches remain inconsistent. Some programs, like the pioneer major at Carnegie Mellon University, emphasize deep theoretical architecture and system design. Others offer curricula that mirror traditional computer science degrees with minimal AI-specific coursework. University leaders acknowledge the tension between urgency and quality. Andrew Armacost, president of the University of North Dakota, noted the necessity of distinguishing between technological substance and marketing glitz as schools scramble to enroll students.

For students, the gamble is personal. Uzezi Olorunmola, a doctoral candidate at the University of North Dakota, acknowledges the possibility of an academic bubble but views early entry as a necessary risk in a changing professional landscape. As hiring needs fluctuate, these graduates serve as the first cohort to test the real-world value of a degree built in the midst of a technological gold rush.