As colleges and universities accelerate their adoption of artificial intelligence, some students are questioning whether institutional leaders are prioritizing their interests in decisions about the technology.
At Dartmouth College, students and community members gathered Oct. 15 for a student-organized town hall to discuss AI’s growing presence on campus. According to The Dartmouth, most attendees disagreed with the statements “I trust Dartmouth to make good decisions about how AI is used on campus” and “Dartmouth is actually preparing me for a job market shaped by AI.”
The event drew approximately 26 people, making it a snapshot of campus concerns rather than a representative measure of student opinion. Still, the discussion raises a question facing institutions nationwide: Does enthusiasm for AI adoption translate into student confidence in how colleges are using the technology?
The town hall preceded Dartmouth’s “AI at 70: What Must Remain Human?” conference, scheduled for Oct. 29–31 and expected to bring together administrators, researchers and lawmakers. Organizer Ben Stevenson, a member of the Class of 2027, said student perspectives were not at the forefront of the College’s conference programming.
Attendees raised concerns about institutional priorities, academic integrity, and the pressure to use AI in coursework. Some questioned whether investments in AI were serving students’ needs, while others emphasized the importance of transparency and accountability when faculty and administrators use the technology.
The concerns come as higher education institutions continue to develop AI strategies and integrate tools into their operations. But data suggest institutional momentum may not be matched by unqualified confidence among the people colleges serve.
A 2025 survey conducted by researchers at San Diego State University for the California State University system collected more than 94,000 responses from students, faculty and staff, including more than 80,000 students. The system had invited its more than 470,000 students and 61,000 faculty and staff to participate.
The survey found that 69% of student respondents believed AI would become essential to most professions. At the same time, 82% expressed concern about AI’s impact on job security. The findings illustrate a tension between preparing students for an AI-shaped workforce and addressing their concerns about what that future may hold.
CSU launched a systemwide AI strategy in February 2025, making AI tools and resources available across its universities and offering professional development for faculty. The survey provides a broad view of attitudes within the system, although it does not establish that students distrust CSU leadership specifically.
Meanwhile, a January 2026 report from EDUCAUSE documents the extent of AI’s institutional momentum. The survey included 1,960 higher education employees, primarily managers, directors, and professional staff, along with executive leaders and faculty. It was distributed in partnership with the Association for Institutional Research, the National Association of College and University Business Officers, and the College and University Professional Association for Human Resources.
Among respondents, 81% expressed enthusiasm or a mix of enthusiasm and caution toward AI, and 92% said their institutions had a strategy for work-related AI use. Yet only 13% reported that their institutions measured the return on investment of AI tools used for work.
But faculty concerns about institutional readiness persist, even as institutions rush to quickly adopt the technology.
Together, the findings point to a challenge for college leaders: developing AI strategies requires more than preparing students for a changing workforce or expanding access to new tools. Institutions must also address concerns about accountability, privacy, academic integrity, and the role students play in decisions that affect their education.
