Can institutions of higher education fully harness the potential of artificial intelligence without the collective support of their entire campus community? This is the pressing concern for IT leaders as AI emerges as a transformative force across educational landscapes. As AI integrates into the technology infrastructure of colleges and universities, IT departments are actively seeking ways to foster trust and collaboration among all stakeholders.
According to the latest CDW Artificial Intelligence Research Report, a significant 88% of respondents from the education sector indicated that they have either completed or are in the process of developing a documented AI strategy. However, about 13% identified a lack of adequate staffing and skills as the primary barrier to successful AI project implementation, making it the most frequently cited challenge.
Students are increasingly demanding AI education to help prepare for their future careers, necessitating that educators are equipped with the necessary skills to deliver this content. The 2025 EDUCAUSE AI Landscape Study revealed that higher education IT leaders consistently highlight training programs aimed at enhancing faculty and staff AI competencies as a key component of their AI initiatives.
Nonetheless, many participants in the CDW survey expressed that garnering support from administration, faculty, and staff remains a major obstacle when planning, executing, and completing AI projects.
Click below to access the complete CDW Artificial Intelligence Research Report.
Building Support for AI in Higher Education: The Role of Training
Securing stakeholder and end-user buy-in when introducing new technology often hinges on providing education and reassurance regarding its safety and ethical implications.
“Guidelines foster innovation,” remarks Elizabeth Reilley, the executive director of AI acceleration for ASU Enterprise Technology at Arizona State University. “Without proper guidance on what’s considered safe, there’s a tendency for people to remain hesitant.”
The University of Texas at Austin aims to alleviate these concerns by providing training through a collaboration with Grammarly. “Two years ago, we recognized the importance of striking a balance between promoting AI utilization and ensuring responsible adoption on campus while supporting our faculty,” states Julie Schell, assistant vice provost and director of the Office of Academic Technology. Following a thorough exploration of what responsible usage means, the university has effectively incorporated generative AI and developed a faculty guide for its classroom applications.
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Amarda Shehu, George Mason University‘s chief AI officer, emphasizes that higher education institutions must lead in technological advancements to maintain their competitive edge. “Technological disruptions will continually occur, whether we choose to engage with them or not,” she adds.
As AI continues to penetrate various domains—from IT departments to classrooms and administrative offices—it is increasingly essential to provide your campus with the resources needed to remain proactive and ahead of the curve.
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