Colleges and universities face mounting obstacles when purchasing artificial intelligence tools, according to new EDUCAUSE polling data. Procurement professionals report that AI-related purchasing decisions have grown harder to execute because AI governance frameworks remain underdeveloped and AI technology itself evolves faster than institutional policies can adapt.
The QuickPoll findings identify a core challenge: most schools lack clear governance structures to guide AI procurement decisions. This gap forces purchasing teams to navigate complex vendor relationships, licensing terms, and integration requirements without solid institutional frameworks. The rapid release cycle of new AI models and capabilities outpaces the speed at which most colleges can draft policies, train staff, and establish oversight mechanisms.
EDUCAUSE recommends that procurement professionals anchor their purchasing strategies to institutional AI strategy documents. Schools that have already developed formal AI governance plans, ethics guidelines, and use-case frameworks report smoother procurement processes. The alignment prevents isolated purchasing decisions that conflict with broader campus priorities around data privacy, academic integrity, and responsible AI use.
Transparency from solution providers emerges as a second lever for success. Procurement teams should prioritize vendors willing to disclose how their AI models work, what data they collect, how they handle student information, and what safeguards they include. Vendors that provide clear documentation about bias testing, security audits, and compliance measures allow institutions to make informed decisions.
The polling data reflects a broader tension in higher education: the pressure to adopt AI tools quickly while building the governance infrastructure to use them responsibly. Schools without formal AI strategies often make ad-hoc purchasing decisions that create technical debt and governance headaches later. Others move slowly, risking competitive disadvantage as peer institutions integrate AI into teaching and learning.
EDUCAUSE advises procurement teams to treat AI purchases as strategic decisions tied to institutional values and goals rather than standalone technology acquisitions. This approach requires collaboration between purchasing departments, IT leadership, faculty governance, and administration. Schools that sequence their work