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Hiring for entry-level software developers has slowed, and college enrollment in computer science is declining.
Faith Maeba, a psychology major at Virginia Commonwealth University, initially hesitated to study artificial intelligence but now pursues an AI minor to gain an edge in graduate psychology programs, which are increasingly influenced by machine learning. This trend emerges as hiring for entry-level software developers has slowed due to AI, and college enrollment in traditional computer science programs declines. Universities nationwide are adapting to this shift by integrating AI education across various majors, recognizing the necessity of AI literacy for all new graduates. Peter Stone, chair of computer science at the University of Texas at Austin, emphasizes the need to 'democratize' AI knowledge, comparing it to fundamental skills like math and reading. Institutions like VCU are creating AI minors for non-computer science students, Purdue University has an AI graduation requirement, Harvard teaches large language models and AI ethics in writing classes, and Ohio State University mandates AI fluency workshops. Furthermore, dedicated AI undergraduate and graduate degrees are becoming more common.
At Northwestern University, the computer science department, which had previously expanded to meet high demand, is now seeing a decrease in incoming computer science majors. Consequently, faculty are redirecting their efforts to teach a broader range of students from other disciplines. The university is enhancing its popular AI minor and introducing a new AI major, while also simplifying prerequisites to improve accessibility for non-majors interested in AI and machine learning courses. Despite increasing demand for AI-related instruction, the department is actively seeking to hire additional computer science professors. This pivot extends beyond core technical fields; for example, Northwestern’s Bienen School of Music now offers a certificate in music and artificial intelligence. Nationally, enrollment in computer and information sciences at four-year institutions dropped over 8% from spring 2025, correlating with a decline in software developer job postings. This has led to a surge of interest in AI-enhanced coding and foundational computer science skills across diverse majors, with music students, for instance, utilizing AI tools for tasks like editing and generating drum tracks. Benjamin Guerrero, an assistant music professor at Eastern Mennonite University, is co-teaching an interdisciplinary AI class for arts and technology students, viewing AI as a transformative tool akin to historical musical innovations. While STEM majors have long used computer science for data research, new AI tools have lowered the learning curve, though Murtaza Ali, a University of Washington doctoral candidate, warns that over-reliance on AI for coding could lead to a superficial understanding of core field concepts among graduates.
The rapid integration of AI into higher education stands out in a sector typically slow to change, as noted by Paul LeBlanc, a visiting scholar at Harvard’s Graduate School of Education. He acknowledges the challenge of keeping pace with technology, a struggle faced by organizations worldwide. Community colleges, with less bureaucratic approval processes, are particularly agile in offering non-credit AI courses, such as Johnson County Community College’s “vibe-coding” class for non-tech individuals. This institution also provides an AI certificate and plans to develop specialized AI classes for professions like human resources and medical careers, demonstrating how AI can bridge the gap between novices and experts. VCU’s Senior Vice Provost of Academic Affairs, Andrew Arroyo, highlights a significant acceleration in course development, with new programs now taking months or even weeks to implement. This year, VCU is launching an online graduate certificate in applied AI. Professors are tasked with preparing students for varied applications of AI in their careers. For instance, VCU students like Althea Pappas (music composition) are exploring AI for philosophical inquiries into the nature of life, while aspiring neurologist Makenzie Stovall (biology) is drawn to AI's attempts to emulate the brain's complex mechanisms, seeing it as relevant to her goal of optimizing human brain function.