The escalating fear among college students regarding the automation of labor by artificial intelligence reveals the direct impact of capital's relentless drive for efficiency on the future working class. Approximately 70% of college students view AI as a threat to their job prospects, according to a 2025 poll by the Institute of Politics at the Harvard Kennedy School, forcing many to abandon chosen fields in a desperate attempt to secure employment.
Josephine Timperman, 20, at Miami University in Ohio, switched her major from business analytics to marketing, citing her belief that "basic skills such as statistical analysis and coding can now easily be automated." Timperman articulated a widespread concern, stating, "Everyone has a fear that entry-level jobs will be taken by AI."
Timperman emphasized the need to cultivate "critical thinking and interpersonal skills," asserting, "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." This highlights the devaluation of technical skills by automation, pushing workers towards less quantifiable human attributes.
The Shifting Landscape of Labor
Recent Gallup polling further confirms that U.S. workers are increasingly concerned about being replaced by new technologies, underscoring the pervasive anxiety across the labor force. This uncertainty is particularly concentrated among students pursuing degrees in technology and vocational areas, where the imperative to develop AI expertise clashes with the fear of being rendered obsolete by the very technology they are trained to use.
Many students now perceive the act of selecting an “AI-proof” major as "shooting at a moving target," acknowledging the fundamental instability of a job market that could be drastically altered by the time they graduate. This instability is a direct consequence of capital's continuous restructuring of production processes to maximize surplus extraction.
A recent Quinnipiac poll found that the vast majority of Americans believe it is "very" or "somewhat" important for college and university students to be taught how to use AI, even as Gallup Workforce polling indicates AI is getting adopted in technology-related fields at higher rates. This contradictory demand places additional pressure on students to adapt to an uncertain future, while fields like health care and natural sciences may be less impacted by AI overhauls, according to Gallup.
Education's Inadequate Response
The education system, tasked with preparing the future workforce, appears ill-equipped to address this structural crisis. Courtney Brown, a vice president at Lumina, an education nonprofit focused on increasing the number of students who seek education beyond high school, noted the unprecedented nature of the current trend, stating, "The fact that so many students say it’s because of AI — that is startling." Brown characterized students' predicament as navigating "without a GPS," revealing the system's failure to provide guidance in the face of capitalist technological disruption.
This systemic inadequacy was evident last month at Stanford University, where leaders of prominent universities convened for a panel discussion on the future of higher education. Brown University President Christina Paxson admitted the collective uncertainty, stating, "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." Paxson's suggestion that "The fundamentals of a liberal education are probably more important than learning how to code in Java right now" represents a liberal reform proposal that sidesteps the core economic forces driving automation.
Human Cost of Automation
The immediate consequences for graduates are already apparent. Ben Aybar, 22, a computer science major who graduated last spring from the University of Chicago, applied for approximately 50 software engineering jobs without securing a single interview. He has since pivoted to a master's degree in computer science and found part-time work in AI consulting, illustrating the rapid shift in required skills and the precarity of even highly specialized labor. Aybar noted, "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."
Ava Lawless, a data science major at the University of Virginia, expressed a profound sense of despair, stating, "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?" Lawless is considering switching to studio art, her minor, articulating a choice between unemployment in a technical field or pursuing a passion despite likely unemployment: "If I’m going to be unemployed, I might as well do something I love." This reflects the human cost of a system that prioritizes capital accumulation over stable, meaningful employment for the working class.
A recent Gallup poll of Generation Z youth and adults, between the ages of 14 and 29, found increasing skepticism and concerns about AI, with about half, 48%, of Gen Z workers stating the risks of AI in the workforce outweigh the possible benefits. The Associated Press, which reported on these developments, stated that its education coverage receives financial support from multiple private foundations. This disclosure highlights the pervasive influence of private capital interests on the dissemination of information, even when reporting on the very contradictions generated by the capitalist system.