A significant trend emerged at University of California campuses this fall: for the first time since the dot-com era, computer science enrollment experienced a decline. System-wide, it decreased by 6% this year, following a 3% drop in 2024, as reported last week by the San Francisco Chronicle. This contrasts sharply with a 2% increase in overall national college enrollment, according to January data from the National Student Clearinghouse Research Center, suggesting students are increasingly moving away from traditional CS degrees.
The notable exception to this trend is UC San Diego, which stands as the only UC campus to introduce a dedicated AI major this fall.
While this phenomenon might seem like a fleeting issue tied to recent reports of fewer computer science graduates securing immediate employment, it more likely signifies a foundational future direction, one that China is embracing with considerably more enthusiasm. As MIT Technology Review reported last July, Chinese universities have heavily prioritized AI literacy, viewing artificial intelligence not as a threat but as essential infrastructure. Nearly 60% of Chinese students and faculty now utilize AI tools multiple times daily, with institutions like Zhejiang University making AI coursework mandatory, and top universities such as Tsinghua establishing entirely new, interdisciplinary AI colleges. In China, proficiency in AI is no longer optional; it is a fundamental requirement.
American universities are now striving to catch up. Over the past two years, dozens have launched AI-specific programs. MIT, for example, states that its “AI and decision-making” major is now the second-largest on campus. According to a New York Times report in December, the University of South Florida enrolled over 3,000 students in its new AI and cybersecurity college during the fall semester. Last summer, the University at Buffalo inaugurated a new “AI and Society” department, offering seven specialized undergraduate degree programs and attracting more than 200 applicants prior to its opening.
However, this transition has not been uniformly smooth. In an October conversation, UNC Chapel Hill Chancellor Lee Roberts described a spectrum of faculty engagement, noting some were “leaning forward” with AI while others had “their heads in the sand.” Roberts, a former finance executive who joined from outside academia, has been a strong advocate for AI integration despite faculty resistance. A week earlier, UNC had announced its plan to merge two schools to create an AI-focused entity, a decision that prompted faculty pushback. Roberts had also appointed a vice provost specifically for AI. He stated, “No one’s going to say to students after they graduate, ‘Do the best job you can, but if you use AI, you’ll be in trouble,’ Yet we have faculty members effectively saying that right now.”
Parents are also playing a role in this challenging transition. David Reynaldo, who operates the admissions consultancy College Zoom, informed the Chronicle that parents who previously encouraged their children toward computer science are now reflexively guiding them toward other majors perceived as more resilient to AI automation, including mechanical and electrical engineering.
Nonetheless, the enrollment data suggests students are actively choosing their paths. An October survey by the nonprofit Computing Research Association, whose membership includes computer science and computer engineering departments from a wide array of universities, indicated that 62% of respondents reported undergraduate enrollment declines in their computing programs this fall. Simultaneously, AI programs are experiencing rapid growth. The University of Southern California is launching an AI degree this coming fall, as are Columbia University, Pace University, and New Mexico State University, among others. The prevailing belief is that students are not abandoning technology entirely; rather, they are opting for programs specifically focused on artificial intelligence.
It is premature to conclude whether this shift represents a permanent change or a temporary reaction. However, it unequivocally serves as a crucial wake-up call for administrators who have spent years deliberating on how to incorporate AI into the classroom. The debate over whether to ban ChatGPT is now largely a relic of the past. The critical question facing American universities is whether they can adapt quickly enough, or if they will continue internal discussions while students transfer to institutions that have already found their answers.
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