When Josephine Timperman started college two years ago, she was confident about her academic path. The 20-year-old Miami University student chose business analytics as her major, believing the specialized technical skills would give her a competitive advantage when entering the workforce.
However, the rapid advancement of artificial intelligence technology has forced her to reconsider that strategy. The fundamental abilities she was developing in areas like statistical analysis and programming are increasingly being handled by automated systems. “Everyone has a fear that entry-level jobs will be taken by AI,” said the Ohio university student.
Just weeks ago, Timperman made the decision to change her major to marketing. Her revised approach focuses on developing critical thinking abilities and people skills — capabilities where humans maintain a competitive advantage over machines.
“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,” Timperman explained. She plans to keep analytics as a secondary focus and pursue advanced study in the field through a master’s program.
Current university students describe choosing an “AI-proof” academic concentration as aiming at a constantly shifting target, as they prepare for employment opportunities that may look completely different upon graduation.
This uncertainty is driving widespread academic changes. The Institute of Politics at Harvard Kennedy School found in a 2025 survey that approximately 70% of college students view artificial intelligence as a danger to their career prospects. Recent Gallup research shows American workers are growing more worried about technological displacement.
The anxiety appears strongest among students in technology and technical training programs, where learners must balance gaining AI expertise while fearing replacement by these same systems. A Quinnipiac survey revealed most Americans believe AI education is “very” or “somewhat” essential for college students, while Gallup workplace data shows technology sectors are adopting AI at accelerated rates. Students in healthcare and natural sciences may face less disruption from AI changes, according to Gallup findings.
“We see students all the time change majors. That’s not new or different. But it’s usually for a ton of different reasons,” explained Courtney Brown, a vice president at education nonprofit Lumina, which works to expand post-secondary education access. “The fact that so many students say it’s because of AI — that is startling.”
Recent Gallup polling of Generation Z individuals aged 14 to 29 reveals growing doubt and anxiety about artificial intelligence. While half of Gen Z adults use AI at least weekly and teenagers report even higher usage rates, many in this demographic recognize negative aspects of the technology and express concern about AI’s effects on mental capabilities and employment prospects. Nearly half — 48% — of Gen Z workers believe AI workplace risks exceed potential advantages.
A significant challenge for college students is the lack of guidance from traditional sources. Academic advisors, faculty members, and parents cannot provide clear direction in this unprecedented situation. “Students are having to navigate this on their own, without a GPS,” Brown noted.
This confusion was apparent during a recent Stanford University gathering where leaders from major universities discussed higher education’s future. Participants addressed concerns about the AI transformation affecting student learning and forcing educational methodology changes.
“We need to think really hard about what students need to learn to be successful in the job market in 10, 20, 30 years,” stated Brown University President Christina Paxson.
“And none of us know. We don’t know the answer to that,” Paxson continued. “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 graduate Ben Aybar, 22, completed his University of Chicago degree last spring and submitted applications for approximately 50 positions, primarily in software development, without receiving any interviews. He shifted to pursuing a master’s degree in computer science while taking on part-time AI consulting work for businesses.
“People who know how to use AI will be very valuable,” Aybar observed, noting emerging positions requiring AI expertise, especially for individuals who can communicate technical complexities in accessible language. “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 student Ava Lawless questions whether her chosen field remains viable but struggles to find definitive guidance. While some advisors suggest data scientists will remain secure because they develop AI systems, she continues encountering discouraging employment reports suggesting otherwise.
“It makes me feel a bit hopeless for the future,” Lawless shared. “What if by the time I graduate there’s not even a job market for this anymore?”
She is contemplating switching to studio art, currently her minor field of study.
“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,” she said. “Because if I’m going to be unemployed, I might as well do something I love.”
