Why Students Aren’t All In on AI—And What They Want From Colleges

A recent survey by *Inside Higher Ed* of 1,038 two- and four-year U.S. college students reveals nuanced attitudes toward artificial intelligence. While 85% reported using generative AI for coursework in the past year—primarily for brainstorming, tutoring, and exam prep—many struggle with concerns over over-reliance and career risks. Nearly half worry AI will negatively impact their job prospects, yet only 34% rate their institutions’ AI support as consistent or effective. The majority describe college responses as policies or workshops that fail to integrate AI meaningfully into learning. The data, collected in May from students at 203 public and private nonprofit institutions, shows 30% now use AI more than last year, with 25% maintaining steady usage. Tawnya Means, an AI adviser at Bowling Green State University, notes students aren’t rejecting AI out of fear but because they recognize its influence on their thinking and future. Institutions, however, have largely ignored concerns about dependency, offering vague guidance like ‘use AI responsibly’ without addressing deeper integration into education. Students want AI embedded in their learning process, not just as a tool for assignments but as a resource for skill development. The survey’s findings suggest colleges are falling short, with 21% of respondents calling institutional efforts ‘somewhat poor.’ Means argues that current approaches—policies and isolated workshops—don’t align with students’ needs for practical, adaptive AI training. The disconnect is stark: while 60% see AI’s primary value as learning support, only a fraction feel their colleges are helping them navigate its long-term implications. Experts like Means emphasize the need for institutions to move beyond basic guidelines and develop structured programs that teach AI literacy, ethical use, and career adaptation. Without this shift, students risk feeling unprepared for a workforce increasingly shaped by AI. The survey also highlights generational divides, with younger students more likely to use AI regularly but also more anxious about its role in their academic and professional futures. Colleges that fail to address these concerns risk alienating students who see AI as both a necessity and a threat to their autonomy. The data underscores an urgent need for institutions to rethink their AI strategies to better serve student needs.