Josephine Timperman arrived at Miami University in Ohio two years ago and declared a major in business analytics. A few weeks ago, she switched to marketing. She is 20 years old, and she already feels like the ground is shifting under her feet.
Her reasoning is blunt and widely shared. As the Associated Press reported, a growing number of college students are reconsidering or outright changing their majors because they fear artificial intelligence will automate the very skills they are paying to learn. The trouble is that no one, not university presidents, not career advisers, not the students themselves, can say with confidence which fields will hold up.
That uncertainty is the real story here. Higher education has spent decades selling a particular bargain: pick the right major, earn the right credential, and a career will follow. AI is exposing just how fragile that promise always was, and how poorly the institutions collecting six-figure tuition bills are prepared to guide students through a labor market that is changing faster than any syllabus can keep up with.
A 2025 poll by the Institute of Politics at the Harvard Kennedy School found that roughly 70 percent of college students view AI as a threat to their job prospects. About half, 48 percent, of Gen Z workers told pollsters the risks of AI in the workforce outweigh the possible benefits, even as half of Gen Z adults report using AI at least weekly.
Those numbers land differently when you attach a name. Ava Lawless, a data science major at the University of Virginia, told the AP she keeps seeing gloomy job reports and is now wondering whether to abandon her major for studio art, her current minor.
Lawless put it plainly:
"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."
That is not the voice of a student who trusts the system to catch her. It is the voice of someone doing cost-benefit analysis in real time, and concluding that the expensive credential she is chasing may be worthless before the ink dries.
Ben Aybar, 22, graduated last spring from the University of Chicago with a computer science degree. He applied for about 50 jobs, mostly in software engineering. He did not get a single interview.
Aybar eventually pivoted to a master's degree in computer science and found part-time work doing AI consulting for companies. He still believes the field has a future, but a different one than the path his undergraduate degree was supposed to open.
As Aybar told the AP:
"People who know how to use AI will be very valuable. Being able to talk to people and interact with people in a very human way I think is more valuable than ever."
Fifty applications, zero interviews, and a fresh pivot to graduate school. That sequence should alarm anyone paying attention to what a four-year degree actually delivers in 2025. The wave of AI-driven restructuring already hitting major employers makes Aybar's experience look less like bad luck and more like a preview.
Last month, leaders of several prominent universities gathered at Stanford University for a panel discussion on the future of higher education. Brown University President Christina Paxson was candid about the knowledge gap.
"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. We don't know the answer to that."
Paxson went on to argue that communication and critical thought, "the fundamentals of a liberal education", are "probably more important than learning how to code in Java right now." That may be true. But it is also the kind of answer that lets universities off the hook. If every major is equally valid because nobody knows what the future holds, then the institution bears no responsibility for outcomes. The student bears all of it.
Courtney Brown, a vice president at Lumina, an education nonprofit focused on increasing the number of students who pursue education beyond high school, noted that students changing majors is nothing new. What is new is the reason.
"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 also described students as navigating the disruption "on their own, without a GPS." That phrase should sting every administrator at every university charging $50,000 or more a year. If the people running these schools cannot provide a GPS, what exactly is the product?
The anxiety is not confined to anecdotes. The New York Post reported that a Harvard Kennedy School survey of 18- to 29-year-olds found 59 percent view AI as a threat to their job prospects. Stanford research cited in the same report found that employment for workers ages 22 to 25 in AI-exposed roles has already fallen 16 percent relative to less-exposed jobs. And enrollment in vocational-focused community colleges has surged nearly 20 percent since 2020, according to National Student Clearinghouse data.
That last number is telling. Young people are not just switching majors within the university system. Some are leaving it entirely, heading for trades and hands-on careers that machines cannot easily replicate. A growing number of young Americans are turning to electrical and other skilled trades precisely because those fields require physical presence, judgment, and adaptability that no chatbot can match.
Ryder Paredes, who left a computer science program for trade school, told the Post: "At first I was in denial. But eventually I had to just face it." Peter Murphy, CEO of Pocket Prep, warned that AI-driven transformation is "going to create a lot of anxiety for people because not everyone's going to get to participate in some of these transformations."
Gallup polling, cited in the AP's reporting, reinforces the trend. U.S. workers are increasingly concerned about being replaced by new technologies. AI adoption is accelerating fastest in technology-related fields. And a recent Gallup poll of Generation Z, covering people between the ages of 14 and 29, found increasing skepticism and concern about AI's role in the workforce.
Meanwhile, 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. The public, in other words, is ahead of many campuses. Voters want schools to prepare students for the world that actually exists, not the one that existed when the curriculum was last updated.
Timperman, the Miami University student who switched from analytics to marketing, is keeping analytics as a minor and plans to pursue a one-year master's program to go deeper. She is hedging her bets, which is sensible. But listen to how she frames the calculation:
"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."
A 20-year-old student at a public university in Ohio has arrived at roughly the same conclusion as the president of Brown University. The difference is that Timperman is the one paying tuition, changing her schedule, and absorbing the risk. Paxson is the one collecting it.
That asymmetry is the heart of the problem. Analysts expect AI to reshape more than half of U.S. jobs within just a few years, and the institutions that are supposed to prepare the next generation for the labor market are openly admitting they have no idea what to tell students. The honest ones, like Paxson, say so out loud. The less honest ones keep cashing checks and hoping the problem resolves itself.
Breitbart's coverage of the same trend noted that education leaders and advisers say uncertainty about AI is pushing students toward human-centered skills, communication, critical thinking, relationship-building. That sounds reasonable in a commencement speech. But it does not answer the question a 20-year-old is actually asking: "Which major gets me hired?"
No one in higher education has a good answer. And the people paying the most for that silence are the students and the families writing the checks.
As voices like Mike Rowe have argued for years, the skilled labor shortage and technological change are transforming the workforce in ways that the traditional four-year-degree pipeline was never designed to handle. The students now scrambling to find an "AI-proof" major are discovering that truth the hard way.
Several important questions remain unresolved. Which specific job categories are shrinking fastest for new graduates? How are universities adjusting curricula, if at all, in response to AI? Are career services offices tracking placement rates in AI-exposed fields and sharing that data with incoming students? And what accountability, if any, do schools face when they charge premium tuition for degrees that lead nowhere?
The debate between official optimism and rising layoff numbers is not going away. Neither is the anxiety of a generation that was told a degree was the ticket, and is now watching the ticket get punched by a machine.
When the people running the universities say they don't know the answer, and the students say they feel hopeless, and the polls say 70 percent see a threat, at some point, the adults in the room need to stop shrugging and start delivering something worth the price of admission.