Colleges and universities face steep obstacles when buying artificial intelligence tools, according to EDUCAUSE QuickPoll findings. The central challenge stems from murky AI governance frameworks and the velocity at which AI capabilities evolve, outpacing institutional decision-making timelines.
EDUCAUSE surveyed procurement professionals across higher education institutions about their experiences acquiring AI systems. Respondents identified governance complexity as their primary barrier. Many institutions lack clear policies for evaluating, purchasing, and deploying AI solutions. This gap forces procurement teams to navigate purchases without established institutional standards, creating confusion about which tools align with organizational needs and values.
The rapid development cycle of AI compounds this problem. Technologies mature and shift within months. By the time procurement processes conclude, specifications may no longer match current market offerings or institutional requirements. Vendors frequently update their systems and capabilities, adding uncertainty to long-term contracts and implementation plans.
EDUCAUSE recommends two concrete strategies for procurement success. First, institutions should anchor AI purchases to a documented institutional AI strategy. Schools that articulate clear goals, risk tolerances, and use cases before procurement conversations close the alignment gap between buying decisions and campus priorities. Second, procurement teams should work exclusively with vendors demonstrating commitment to transparency. This means providers willing to clearly explain how their AI systems function, what data they process, what biases may exist in their models, and how institutions can audit performance over time.
The timing of this guidance matters. Many colleges rushed to adopt AI tools over the past two years without adequate governance structures. Now facing budget constraints and governance questions, institutions recognize the need for systematic approaches to AI procurement.
Higher education procurement professionals should treat AI purchases differently than legacy software contracts. Traditional vendor selection emphasizes features and price. AI procurement requires deeper due diligence on governance alignment, vendor transparency practices, and ongoing vendor support for emerging regulatory requirements. Institutions that treat procurement as a strategic governance function rather than a transactional activity position