What if I’m wrong? What are my blind spots?

Those two questions frame our latest AIR | GPT episode, and they’re worth sitting with. The catalyst was Matt Schumer’s viral claim that AI is on the verge of mass-deleting jobs, possibly imminently. It racked up 85 million views and jumped from social media into CNN, The New York Times, and Bloomberg. And yet in education circles, it was met largely with crickets. Which itself raises a question worth sitting with.

Ruben Puentedura, Caroline Kurban, Liz Kolb, Helen Crompton, and I agreed Schumer was about half right. The harder question is what the other half looks like for education. The conversation that followed was candid, unscripted, and left room for genuine disagreement. Not everyone in the group sees the urgency the same way, and that tension is precisely what makes the discussion worth hearing.

The episode doesn’t resolve the uncertainty. But it models something valuable: sitting with that uncertainty honestly, rather than reaching prematurely for confidence in either direction. As our producer Errol St. Clair Smith put it, the pivotal divide may not be between those who think AI will replace jobs and those who don’t. It’s between those who realize they might be wrong, and those who haven’t considered it yet.

AIR | GPT: What If the Most Disruptive Thing About AI Is How Confident We Are About It?

Below is a list of all the episodes of AIR | GPT

1. The Creators of SAMR, TPACK, Triple E, SETI, and GenAI-U Launch New Podcast With a Review of NoteBook LM
2. Para-social Relationships: The Pros and Cons of Falling in Love With Generative AI
3. 2024 Mic Drop on the AIR GPT Podcast
4. AI Schools Are Catching On: What They Get Wrong, What They Get Right, What They Are Teaching Us About Teaching
5. Some Think More Deeply With Gen AI, Some Less: Here’s What’s Behind The Emerging Critical Thinking Divide
6. The Science and Art of Teaching Creativity in the Age of Gen AI: What Every Educator Needs to Understand
7. The Blindspots in AI Guardrails, Guidelines, and Good Intentions: What We Need, What We Don’t, and Why
8. All Gen AI Studies Are Not Created Equal: What These Two Highly Cited Studies Overlooked, Why It Matters
9. Grok This: When AI Goes Off the Rails, What Educators Need To Know About the Root Causes
10. Three Years of Gen AI: The Lessons We’ve Learned, What We Plan to Do Differently As We Head Back to School
11. Pedagogical Debt: What We Owe Our Students in an AI World
12. Cheating? Forget About It! Asking the Right Questions About Agentic AI and Education
13. What If the Most Disruptive Thing About AI Is How Confident We Are About It?