In this long-awaited sequel (eight years after her last appearance), Craig welcomes back Becky Allen — education researcher, co-founder of Teacher Tap, co-author of The Teacher Gap, and now a consultant to the US-based Alpha School chain — for a deep dive into AI in education, with a particular focus on AI as a personal tutor. Becky is a self-confessed AI optimist who uses LLMs for almost everything (with a fervent endorsement of WhisperFlow voice transcription as a game-changer for giving models richer context). She walks through what she's been seeing inside Alpha School, where students do roughly two hours a day on AI-powered learning apps and spend the rest of their time on project-based learning, sports, and life skills. Her clearest examples of where AI tutoring genuinely shines are in generative prerequisite-knowledge conversations and in forcing students to engage step-by-step with worked examples — pulling them out of the passive eye-darting that kills most textbook learning. From there, Craig walks her through a battery of common sceptical pushbacks (screen time, scalability, Alpha's wealthy demographic, motivation without an audience, the Khanmigo flop, applicability to the Global South, and the future of subject-specialist teachers) and Becky pushes back on each with characteristic nuance. Her core thesis: AI won't transform mainstream schools much — they're too operationally complex to bend — but it will enable a parallel world of micro-schools, alternative provision, and remote subject specialists, particularly for the growing population of persistently absent and home-educated children. The conversation closes with reflections on whether AI will take her own job (and what to advise her children) and a prediction that the most concrete thing AI will fix in mainstream schools is marking. View the show notes here: podcast.mrbartonmaths.com/222-ai-in-education-with-becky-allen