California State University's ambitious $30 million commitment to making artificial intelligence central to higher education is colliding with widespread doubt among the very students and faculty it aims to serve. More than half of CSU's 470,000 students and roughly 60% of faculty say they are skeptical that AI is benefiting education overall, according to a system-wide survey of over 94,000 respondents conducted last fall.
The CSU entered into a $17 million no-bid contract with OpenAI one year and three months ago to provide ChatGPT Edu—a version of the generative AI chatbot designed for educational institutions—across its 22 campuses. The system recently renewed that contract for another $13 million annually for three years, positioning itself as what Chancellor Mildred García described in February 2025 as "the nation's first artificial intelligence-powered institution of its kind."
Yet the survey data reveals a complex picture of ambivalence that complicates the university system's narrative of inevitable technological progress. While large majorities of students and faculty reported using AI regularly for coursework and work-related tasks, their concerns about the technology's broader impacts are substantial and consistent: 83% of students and 82% of faculty worried about AI's impact on creativity; 82% of students and 78% of faculty worried about job security; and 80% of students and 84% of faculty expressed concern about environmental impacts.
The Equity Argument Behind the Investment
CSU officials defend the substantial public investment as a matter of educational equity. Ed Clark, chief information officer for the CSU's office of the chancellor, said the system chose OpenAI because it offered "the most cost-effective option that could make it even possible to bring AI tools to more than a half a million students, faculty and staff." Zach Justus, a communications professor and director of faculty development at California State University, Chico, articulated the equity concern directly: without the system providing these tools to students, "You're just systematically advantaging students with more financial resources, and that's crappy."
This argument carries particular weight given CSU's student demographic. The system serves a student body that is roughly half Hispanic, more than a quarter of undergraduates are the first in their family to attend college, and many students work while they attend school. For students like Sejal Daterao, 30, enrolled in the information systems master's program at California State University, Long Beach, the free access to ChatGPT Edu—which includes features unavailable in the free version—made a tangible difference. "It would be hard for her to pay for a premium subscription" as a graduate student, she explained, adding that "helping students use such technologies firsthand is really a good thing."
Significant Doubts About Learning Outcomes
However, concerns about whether the technology actually serves learning goals run deep. Martha Kenney, a professor and science and technology scholar at San Francisco State University, co-authored a petition calling on the CSU not to renew its contract, arguing that offering a chatbot that allows students to take shortcuts on assignments amounts to "cheating our students out of an education." Kenney said some faculty and students reject the idea that AI in higher education is inevitable and that "refusing this technology needs to be a position that's on the table."
Kenney cited two specific concerns: the environmental impact of generative AI and the use of copyrighted work to train models without compensating creators. These concerns echoed throughout the survey data and in interviews with students. Daterao, despite using the tools, expressed frustration with AI's generation of false information and with "tech companies' use of creative work to train AI models without providing credit and compensation to artists."
H, a fourth-year computer science student at San José State University who asked to be identified only by her first initial due to ongoing job applications, described a troubling pattern of learning erosion. She initially avoided AI tools but eventually began using them for assignments, only to realize: "I found that I was using it more as a crutch instead of actually helping." Her resistance deepened as she learned about the environmental impacts of data centers. She worried that "pushing AI use in coursework would prevent students from learning foundational skills," noting that "trying to use it to learn basics kind of led to just not learning basics, but using it to avoid putting in effort."
Institutional Accountability and Decision-Making
Internal CSU planning documents obtained by NPR one year and five months ago reveal how the university system framed its partnership. One document described the potential partnership with OpenAI as "a huge branding opp[ortunity]." Another document, dated 2025 and titled "Potential follow-up questions on ChatGPT Initiative," advised officials to explain the no-bid contract by saying the deal is "essential for the success of the CSU's AI strategy" and that "after conducting extensive research and evaluating various AI tools and vendors, it was determined that OpenAI is uniquely positioned to meet our needs."
Clark defended the contract's lack of competitive bidding, saying the planning document "demonstrates the extent to which the CSU thoughtfully approached selecting a vendor that could support our commitment to innovation, accessibility and academic excellence."
When confronted with the petition opposing contract renewal, Clark dismissed it, saying the "online petition does not reflect overall sentiment from within our community." He pointed instead to the survey showing that majorities of students and faculty said AI had a positive impact on their learning and work, and noted that the CSU's generative AI advisory committee "unanimously recommended renewing the contract."
David Goldberg, an associate professor at San Diego State University and one of the survey authors, offered important context: "The findings are based on the people who did respond. We don't know the opinions of the people who didn't." He noted that responses represented "a pretty good representation across different fields of study and across different demographics" and emphasized that "the survey showed a tremendous amount of nuance in opinion across all groups."
Faculty Approaches to Navigating the Technology
Faculty members are developing varied strategies to maintain educational integrity while acknowledging AI's presence. Jennifer Trainor, an English professor at San Francisco State University, described her approach: she requires students to brainstorm and draft by hand during class time, allows AI for editing, but requires critical reflection on the changes it made. "I am really trying to get them to do their own writing and thinking," she said. Trainor also noted "a groundswelling of resistance" on campus, with some students refusing to engage with AI altogether, "ethically opposed to the environmental impacts and the bias and the erasure of their jobs and voices and creativity."
Justus acknowledged the broader critique, including "the argument that the system should not spend millions on an AI chatbot when it is facing budget cuts," but maintained that ignoring the technology altogether was not viable. "The most important thing that we tell faculty is that they cannot ignore the technology," he said. "If we ignore it, we are not doing our jobs."
OpenAI's Leah Belsky, vice president of education, said the company shares responsibility to "help students use these tools well… to harness their full potential and succeed in the AI-driven future of work." Clark stated that AI will not be used to teach classes and should supplement learning, not replace it, framing AI literacy as "part of career readiness."
Why This Matters:
The CSU's experience illuminates a critical tension in American higher education: how to ensure equitable access to emerging technologies while protecting the quality and integrity of learning, particularly for students from historically underrepresented and economically disadvantaged backgrounds. The system serves nearly half of all bachelor's degree recipients in California, making its decisions about technology adoption consequential for hundreds of thousands of students. The survey data reveals that concerns about AI's environmental footprint, its use of copyrighted creative work without compensation, and its potential to undermine skill development are not fringe positions but widely held among the academic community. The no-bid nature of the OpenAI contract and the documented internal framing of the partnership as a "branding opportunity" raise questions about transparency in institutional decision-making. Moreover, the gap between official claims of broad support and the substantial skepticism expressed by majorities of students and faculty suggests that even when institutions frame technological adoption as inevitable and beneficial, significant constituencies may experience it as imposed rather than chosen. How CSU resolves these tensions—balancing equity of access, environmental responsibility, creator compensation, and learning outcomes—will likely influence how other university systems approach AI integration.