You're preparing young people to thrive in an AI-driven workforce, so teaching them to use these tools feels like exactly the right move. But knowing where these tools fail takes technical depth that most AI literacy training never reaches. In this interactive session, grounded in research and recent, real-world cases, you'll uncover what current frameworks leave out: large language model vulnerabilities most users aren't aware of (prompt-induced bias, document degradation, sycophancy, and twelve others), the difference between evaluating AI output and verifying it, and the quiet toll these tools take on the durable skills your students need most. These gaps reach every young person and practitioner who turns to AI, with effects that compound across a career. You'll leave with the Ingrained AI Use Framework, ready to apply immediately to the way you teach, model, and build AI literacy for young people, your staff, and yourself.