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Saved February 14, 2026
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Colleges are seeing a surge in students enrolling in artificial intelligence programs, driven by the growing demand for tech skills and industry investments. While traditional computer science enrollments decline, specialized A.I. majors are attracting thousands of new students eager to enter the field.
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M.I.T.'s new major in "artificial intelligence and decision-making" is attracting significant interest, now ranking as the second-most-popular undergraduate major at the institution. Other universities are also seeing a surge in A.I. programs, with over 3,000 students enrolling in a new A.I. and cybersecurity college at the University of South Florida and 150 first-year students signing up for a similar major at U.C. San Diego. The State University of New York at Buffalo has established a department focused on A.I. and society, offering interdisciplinary degrees like A.I. and policy analysis. This trend largely stems from the rapid growth of A.I. technologies and the substantial investment from major tech companies such as Google and Microsoft, which are aiming to train millions in A.I. skills.
Despite the boom in A.I. majors, traditional computer science programs are facing a decline in enrollment. Recent data shows that 62% of computing programs reported drops in undergraduate numbers, attributed to student concerns about job prospects. Companies like Amazon and others have initiated layoffs, and graduates are struggling to secure roles, especially as A.I. tools become capable of performing tasks traditionally done by entry-level software engineers. This has led to increased interest in specialized A.I. programs, as many students seek to align their education with industry demand.
The shift to A.I. education highlights changing attitudes within the tech job market. While students previously flocked to general computing degrees, they are now gravitating toward specialties that seem more aligned with current and future opportunities. At U.C. San Diego, the new A.I. major incorporates courses on machine learning and the social implications of technology, reflecting a broader recognition of the need for well-rounded, informed graduates who understand both technical and ethical dimensions of A.I. As a first-year student noted, the excitement around A.I. is palpable, even among those who were initially skeptical about its legitimacy as a major.
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