Don't Let AI Eat Your Students' Brains

Watch the webinar: Future-Ready Learning — AI, Pedagogy and the Human Experience

There's a moment in this webinar where Dr. Neil Hopkin says something that stops you in your tracks.

"AI isn't going to come and eat your job," he tells the panel. "But if schools don't get ahead of this, it's going to come and eat your kids' brains."

It's a provocation — but it's also a diagnosis. And it's one that four of the world's leading voices on AI and education spend the next hour unpacking with remarkable candour, warmth, and practical wisdom.

What this conversation is really about:

This isn't a webinar about tools. There are no product demos, no five-step frameworks, no breathless talk of disruption. What you'll find instead is a genuinely rare thing: a group of experienced educators who have been working at the intersection of AI and learning since day one, thinking aloud together about what it actually means to do this well.

Darren Coxon, who was one of the first school leaders to bring ChatGPT into the classroom — gathering his students together just weeks after it launched — talks about what it means for schools to be intentional rather than reactive. Stephanie, Director of Teaching and Learning at DSB International School in Mumbai, describes how she spent a full year embedding metacognitive practice before introducing AI to students at all. Russell Cailey draws on his extraordinary experience running a nomadic school across twelve countries to ask a deceptively simple question: what are schools actually for? And Neil Hopkin frames the whole thing around a tension that every educator will recognise — the tension between compression and depth, between speed and the kind of slow, friction-rich thinking that actually builds a mind.

Why it's worth an hour of your time:

Because the conversation goes somewhere most AI-in-education discussions don't. It goes to questions of equity — who will learn to leverage AI and who will merely consume it, and what that gap means for the children in our schools right now. It goes to questions of purpose — what we lose when we remove the effort from learning, and what the analogy of Ozempic can teach us about outsourcing our cognitive appetite. And it goes, at the end, to something genuinely hopeful: a set of simple, practical starting points for any teacher who wants to build their AI literacy without being overwhelmed.

The panel also covers the moment each of them knew AI wasn't going away, the real reason most schools aren't seeing the efficiency gains they expected, and why one A-level student's 37 iterative prompts might be the most encouraging thing anyone said all webinar.

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