It's not enough just to know how to code
70% of US university students view AI as a threat to employment prospects, with tech majors most concerned about automation of programming and data analysis roles. Students like Josephine Timperman are switching to marketing and humanities, betting that communication, relationship-building, and critical thinking remain irreplaceable by AI systems.
- 70% of US university students view AI as a threat to employment prospects
- Josephine Timperman switched from business analysis to marketing at Miami University
- Ben Aybar sent 50 software engineering applications with no interviews
- Harvard Kennedy School study from 2025 on student AI anxiety
- Technology sectors show fastest AI adoption; healthcare and natural sciences slower
US university students are abandoning technology courses due to fears that AI will automate entry-level positions, shifting toward humanities and skills emphasizing human connection and critical thinking.
College students across America are making a quiet but significant shift in their academic choices, driven by a single persistent worry: that the entry-level jobs they've been trained for will vanish before they graduate. The movement away from technology programs and toward humanities is not a sudden exodus, but a steady current that reflects something deeper than typical career anxiety—it is a generation recalibrating its bets about which skills will remain valuable in a world reshaped by artificial intelligence.
Josephine Timperman, a student at Miami University in Ohio, embodied this calculation when she abandoned her business analysis major. She had watched the market shift, observed how statistical work and coding could be performed by automated systems, and made a decision that felt both pragmatic and unsettling. "Everyone is afraid that entry-level jobs will be replaced by AI," she said. The fear was not abstract. It was rooted in the specific tasks she had been learning to perform—tasks that, she reasoned, machines could do faster and cheaper. So she switched to marketing, betting instead on the irreplaceable human capacities: the ability to communicate clearly, to build relationships, to think through problems that don't have algorithmic solutions. "It's not enough just to know how to code," she explained. "You need to communicate, build relationships, and think critically—because that's what AI can't replace."
Timperman's choice is no longer unusual. A 2025 study from Harvard Kennedy School's Institute of Politics found that roughly seven in ten college students now view artificial intelligence as a genuine threat to their employment prospects. Gallup surveys have tracked a parallel rise in anxiety among American workers more broadly, a spreading unease about technological displacement. But the concern concentrates most sharply among those studying technology itself and in other vocational fields—the very students who might have expected their training to be most valuable.
The paradox is that many of these students recognize the importance of understanding AI tools. They are not rejecting technology outright. Rather, they are making a cold calculation about labor market vulnerability. Data from Gallup Workforce shows that technology sectors are adopting AI most rapidly and most thoroughly. Meanwhile, fields like healthcare and natural sciences have experienced slower technological disruption. The message is clear to students watching these trends: some doors are closing faster than others.
Ben Aybar, a computer science graduate from the University of Chicago, learned this lesson the hard way. He sent roughly fifty applications for software engineering positions and received no interviews. Ava Lawless, studying at the University of Virginia, found herself seriously considering a pivot to visual arts, uncertain whether her original field would offer stable work. These are not hypothetical worries. They are the lived experience of students trying to plan careers in an environment where the ground keeps shifting.
Educators and policy experts are watching this migration with concern. Courtney Brown, vice president of the education organization Lumina, noted that many young people are making major life decisions without clear guidance about how AI will reshape different professions. The uncertainty is the real problem. Students can adapt to change; they struggle when they cannot see the shape of what is coming. Universities designed their programs around stable labor markets and predictable career pathways. That stability has fractured. The shift toward humanities and skills emphasizing human connection is not a rejection of rigor or ambition. It is a rational response to perceived risk—a generation choosing to build their futures on ground they believe will hold.
Notable Quotes
Everyone is afraid that entry-level jobs will be replaced by AI— Josephine Timperman, Miami University student
It's not enough just to know how to code. You need to communicate, build relationships, and think critically—because that's what AI can't replace.— Josephine Timperman
The Hearth Conversation Another angle on the story
Why are students leaving technology when tech companies are hiring more than ever?
They're not seeing the hiring. Ben Aybar sent fifty applications for software engineering jobs and got no interviews. What students see is the speed of automation—that the entry-level work they're training for is being done by AI systems right now, not in some distant future.
But doesn't that mean tech skills are more valuable, not less?
Only if you're already experienced enough to work on the AI itself. Entry-level positions—the ones students are actually qualified for—are the first to be automated. That's the trap. You need experience to get the good jobs, but the jobs that teach you experience are disappearing.
So they're switching to humanities because those jobs are safer?
Not safer exactly. But different. A marketing job requires you to understand people, to persuade, to build relationships. Those things are harder to automate than analyzing a spreadsheet or writing routine code. Students are betting on irreplaceability.
Is that a sound bet?
It's a reasonable one, based on what we know now. But it's also a bet made under uncertainty. Nobody knows how AI will evolve. What feels irreplaceable today might not be in five years.
What happens to universities if this trend continues?
They have to rethink what they're teaching and why. If students are fleeing technical programs out of fear, universities need to either prove those programs lead somewhere, or they need to redesign them. Right now, they're caught between old assumptions and new realities.
And the students who stay in tech?
They're either very confident, or they're betting that being early in AI will protect them. Or they simply don't have the luxury of choice—they need to finish what they started.