College students wary of the job market are changing majors to focus on fields they believe are less likely to be affected by artificial intelligence. The pressure is coming from a labor market already warped by technology, where students are being forced to guess which skills the bosses will still bother paying for by the time they graduate.
Josephine Timperman, 20, at Miami University in Ohio, said she declared a major in business analytics two years ago, but recently switched to marketing because she believed basic skills such as statistical analysis and coding can now easily be automated. She said, “Everyone has a fear that entry-level jobs will be taken by AI.” Timperman said she wants to build critical thinking and interpersonal skills, adding, “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, because at the end of the day, that’s the thing that AI can’t replace.” She is keeping analytics as a minor and plans to dive deeper into the subject for a one-year master’s program.
Who Pays for the Tech Shuffle
The article said many students now see picking an “AI-proof” major as shooting at a moving target as they prepare for a job market that could be fundamentally different by the time they graduate. That moving target is not some abstract academic puzzle. It is the result of an economy where workers are told to keep adapting while the structure around them keeps changing the rules.
About 70% of college students see AI as a threat to their job prospects, according to a 2025 poll by the Institute of Politics at the Harvard Kennedy School, while recent Gallup polling found U.S. workers are increasingly concerned about being replaced by new technologies. The uncertainty appears most concentrated among students pursuing degrees in technology and vocational areas of study, where students feel a need to develop expertise in AI but also fear being replaced by it.
A recent Quinnipiac poll found the vast majority of Americans believe it is “very” or “somewhat” important for college and university students to be taught how to use AI, as Gallup Workforce polling found AI is getting adopted in technology-related fields at higher rates. Students studying health care and natural sciences may be less impacted by AI overhauls, Gallup found. The message from above is clear enough: learn the tool, survive the transition, and hope the machine does not eat your lane next.
Students Navigating Without a Map
Courtney Brown, a vice president at Lumina, an education nonprofit focused on increasing the number of students who seek education beyond high school, said, “We see students all the time change majors. That’s not new or different. But it’s usually for a ton of different reasons. The fact that so many students say it’s because of AI — that is startling.” Brown said students are having to navigate this on their own, “without a GPS.”
The nonprofit angle matters here too. Lumina is described as an education nonprofit focused on increasing the number of students who seek education beyond high school, and Brown’s comments make plain that students are left to sort through the fallout themselves. The institutions may talk about guidance, but the actual experience described is one of isolation and uncertainty.
A recent Gallup poll of Generation Z youth and adults, between the ages of 14 and 29, found increasing skepticism and concerns about AI. Although half of Gen Z adults use AI at least weekly, and teenagers report higher use, many in this generation see drawbacks to the technology and worry about AI's impact on their cognitive abilities and job prospects. About half, 48%, of Gen Z workers say the risks of AI in the workforce outweigh the possible benefits.
The Job Market as a Moving Target
The uncertainty was evident last month at Stanford University, where leaders of several prominent universities gathered for a panel discussion on the future of higher education. Topics of concern included the AI revolution transforming how students learn and forcing educators to rethink pedagogy. Brown University President Christina Paxson said, “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 added, “And none of us know. We don’t know the answer to that. 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.”
That is the reformist scramble in plain view: universities, administrators, and education nonprofits trying to retrofit a system that keeps producing insecurity. The students are told to become flexible, communicative, and critical, while the labor market remains a machine that can discard them before they even arrive.
Computer science major Ben Aybar, 22, graduated last spring from the University of Chicago and applied for about 50 jobs, mostly in software engineering, without getting a single interview. He pivoted to a master's degree in computer science and meanwhile has found part-time work doing AI consulting for companies. Aybar said, “People who know how to use AI will be very valuable,” and added, “Being able to talk to people and interact with people in a very human way I think is more valuable than ever.”
At the University of Virginia, data science major Ava Lawless said she is wondering if her major is worthwhile but cannot get concrete answers. Some advisers feel that data scientists will be safe because they are the ones building AI models, but she keeps seeing gloomy job reports that indicate the contrary. Lawless said, “It makes me feel a bit hopeless for the future. What if by the time I graduate there’s not even a job market for this anymore?” She is considering switching to studio art, which is her minor. She said, “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.”
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