Preparing Students for an AI Future: What Higher Ed Needs to Know about the K-12 Readiness Gap

Every fall, a new class of freshmen arrives on your campus. Starting now, many will have spent their entire high school career under blanket AI bans. They weren't taught to use AI responsibly or given frameworks for evaluating AI output. They were told not to touch it, but they used it anyway, without guidance or connection to the learning objectives. This is the AI readiness gap, and it is now higher education's problem. This session presents a perspective rarely heard at EDUCAUSE: that of a student who lived within K-12 AI restrictions while building educational platforms and researching human-centered AI design. I'll walk through what AI bans actually produce: students who are either completely untrained or entirely self-taught through unsupervised use, both arriving unprepared for the structured AI engagement your faculty is designing. Attendees will leave with a clear picture of what's coming through the pipeline, strategies for onboarding AI-inexperienced students, and a framework for AI literacy as a continuum that starts before college. You'll hear how bans pushed AI use underground, why detection tools eroded student-teacher trust, and how the gap between school policy and workforce expectations shapes student anxiety. This builds on my guest essay in the Austin American-Statesman, highlighted by The New York Times Morning Newsletter (17M+ subscribers) and catalogued by the Texas Legislative Reference Library.