A new education-technology Q&A emphasized that leadership across higher education and K-12 must build AI and data literacy before scaling edtech and AI adoption. The expert said institutions face infrastructure readiness gaps, including compute, cybersecurity, and device/connectivity requirements, and that “vision without infrastructure” slows adoption. Leaders are increasingly prioritizing AI readiness, cybersecurity, and online safety while seeking trusted partners to integrate AI into learning outcomes and operations without introducing inequities. The guidance also highlighted workforce-oriented investments such as device technician initiatives and AI-focused training programs. For colleges and universities, the immediate takeaway is that AI procurement and rollout decisions are now inseparable from risk management and professional development capacity.