Higher-education leaders and professional services staff are pushing institutions to build AI literacy and operationalize AI-assisted workflows. Opinion and guidance pieces call for staff-level AI competence—enough to advise students and reshape services—rather than expecting all employees to be coders. The goal: graduates who can evaluate AI outputs, judge bias and apply human oversight. Practical deployments are appearing on campuses. Faculty and staff can set up AI tutors and custom chat-based tools to provide 24/7 support for reading comprehension, problem solving and skills practice without heavy coding. Those tools promise to scale individualized help and free faculty time for higher-order teaching but require clear guardrails to avoid overreliance and hallucinations. Institutions advancing this approach are focusing on staff training, assessment redesign, and privacy and ethics policies to integrate AI into learning support and career-readiness services.