Three years into widespread availability of generative AI, many K‑12 and higher‑education instructors remain hesitant to adopt it, citing inadequate professional development, unclear policies, and usability concerns. EdWeek research and interviews with district and college educators reported widespread experimentation but limited systematic implementation. Practitioners described AI as a time‑saving assistant for tasks like grading and lesson design, but they said institutions lack coherent governance, training pipelines, and cross‑unit data integration to scale benefits. Campus IT and learning‑experience teams warned that piling on point tools without integrative design leaves learners with fragmented experiences. For colleges and universities training future teachers and building campus ed‑tech stacks, the findings underscore the need for sustained PD, interoperable systems, and clearer guidelines on ethics and assessment. Institutions that invest in coordinated training and learner‑centered technology architectures are better positioned to mainstream AI safely and effectively.