Who Has A Better AI Strategy? Canada vs. New York

In this episode, we examine two very different approaches to AI and students unfolding at the same time: New York City's cautious moratorium on generative AI for younger students, and Canada's ambitious national literacy initiative designed to prepare more than 1 million people to understand and use AI. New York is putting a one-year pause on student-facing generative AI for students in grades 2K through 8th, prioritizing caution and evidence before scaling AI in classrooms. Canada, meanwhile, has launched a comprehensive program targeting 1 million post-secondary students and more than 50,000 K-12 educators, built around a simple progression: understand AI, use AI, and for those who choose, build with AI. One approach says slow down and protect students first. The other says move now and prepare people for the future. But which strategy is actually better for the students? Join us as we break down what New York and Canada are doing, what each approach gets right, and whether the best path forward might actually combine both philosophies. This isn't just about technology in schools. It's about whether we should prove AI improves learning before we scale it, or whether avoiding AI entirely becomes unrealistic as students prepare to graduate into universities and workplaces where these tools are everywhere. The question isn't whether students will interact with AI. They will. The real questions are: at what age, for what purpose, under whose supervision, and what human skills do we need to protect along the way?