In my 2026 version of “Did a Robot Write this Report?”, I walk through what AI cheating actually looks like in real classrooms now, and what we can do about it without turning school into a surveillance program. I start with a practical academic integrity overview, then dig into the impact AI can have on student thinking when it replaces the struggle (instead of supporting it). From there, I spend time defining what “cheating with AI” means—because if our expectations aren’t clear, students are going to fill in the gaps for us. The heart of the session is how to adjust assignments so the easy “copy/paste from AI” path is less tempting, while the positive, learning-focused uses of AI are more natural. I also share ways to encourage transparency and proper citation of AI help, plus tools and techniques to monitor AI usage (with a big emphasis on good teaching and good task design over “magic” detectors). Finally, I point you to resources for building AI guidelines and for explicitly teaching students how to use AI responsibly so we’re setting them up for success, not just catching mistakes.