Faculty in Colorado and California are pushing back against institutional agreements providing students and faculty access to custom AI-powered tools, arguing over governance, academic integrity, and how AI systems are used in instruction. The dispute centers on what universities are paying for and how those tools are deployed across curricula. The conflict appears as higher education spends millions on vendor “education” access and as faculty try to protect how instruction, assessment, and learning outcomes are measured. It also intersects with broader concerns about how AI content can distort learning evidence when students are evaluated. For institutions, the development signals a potential break in the assumed top-down pace of AI adoption, with faculty governance bodies seeking clarity on contracts, data practices, training, and limits on classroom use. The action matters because it can shape not only current tool deployments but also future procurement templates and faculty role in setting AI-related policies.