College students are increasingly changing their majors in search of degrees that are resistant to artificial intelligence, yet experts admit that no one can predict which fields will remain safe from automation.
Students Rethink Career Paths Amid AI Fears
Two years ago, Josephine Timperman entered Miami University in Ohio with a plan to major in business analytics, hoping to acquire niche skills that would lead to a good job after graduation. However, the rapid advancement of artificial intelligence has disrupted those expectations. The basic statistical analysis and coding skills she was learning can now be easily automated. “Everyone has a fear that entry-level jobs will be taken by AI,” said the 20-year-old. A few weeks ago, she switched her major to marketing, aiming to build critical thinking and interpersonal skills—areas where humans still have an edge. “You don’t just want to be able to code. You want to be able to have a conversation, form relationships and be able to think critically,” she explained, noting that she is keeping analytics as a minor and plans to pursue a master’s degree in the subject.
Today’s college students say that picking a major that is “AI-proof” feels like shooting at a moving target, as they prepare for a job market that could be fundamentally different by the time they graduate. According to a 2025 poll by the Institute of Politics at the Harvard Kennedy School, about 70% of college students view AI as a threat to their job prospects. Recent Gallup polling also indicates that U.S. workers are increasingly concerned about being replaced by new technologies.
Uncertainty Concentrated in Tech and Vocational Fields
The uncertainty appears most concentrated among students pursuing degrees in technology and vocational areas, where they feel a need to develop AI expertise but also fear being replaced by it. A Quinnipiac poll found that the vast majority of Americans believe it is important for college students to be taught how to use AI, while Gallup reports that AI adoption is higher in technology-related fields. Meanwhile, students studying healthcare and natural sciences may be less impacted by AI overhauls, according to Gallup.
“We see students all the time change majors. That’s not new or different. But the fact that so many students say it’s because of AI—that is startling,” said Courtney Brown, a vice president at Lumina, an education nonprofit. A recent Gallup poll of Gen Z youth and adults found that 48% of Gen Z workers believe the risks of AI in the workforce outweigh the possible benefits. Many students are navigating this uncertainty without guidance from experts, as advisers, professors, and parents lack clear answers. “Students are having to navigate this on their own, without a GPS,” Brown added.
University Leaders Acknowledge the Challenge
At a panel discussion at Stanford University, leaders from prominent universities discussed the AI revolution transforming education. Brown University President Christina Paxson stated, “We need to think really hard about what students need to learn to be successful in the job market in 10, 20, 30 years. And none of us know. I think it’s communication, it’s critical thought. The fundamentals of a liberal education are probably more important than learning how to code in Java right now.”
Computer science major Ben Aybar, 22, graduated from the University of Chicago last spring and applied for about 50 software engineering jobs without receiving a single interview. He is now pursuing a master’s degree in computer science and working part-time in AI consulting. “People who know how to use AI will be very valuable,” he said, emphasizing that the ability to communicate complex ideas in layman's terms is more valuable than ever.
At the University of Virginia, data science major Ava Lawless is considering switching to studio art, her minor, after hearing conflicting advice about job prospects. “It makes me feel a bit hopeless for the future,” she said. “What if by the time I graduate there’s not even a job market for this anymore? I’m at a point where I’m thinking if I can’t get a job being a data scientist, I might as well pursue art. Because if I’m going to be unemployed, I might as well do something I love.”
