AI in education requires national strategy

"While other countries are executing on national infrastructure projects for the AI era and treating it as an economic imperative, here in the United States, we can't seem to move past a narrative of how AI makes it easier for students to cheat. Where is the enthusiasm for how AI and other emerging technologies can support our education system?"

"What I quickly realized is that what we're calling 'AI in education' bears almost no resemblance to how it's being implemented in Shanghai. There, it's not merely the adoption of technology in classrooms; it's a philosophical and systemic adoption. While we treat AI education as another curriculum topic or tool adoption challenge, they view it as critical national infrastructure, akin to their high-speed rail system."

Global AI companies including xAI, OpenAI, and Microsoft are implementing AI tutoring systems across multiple countries, treating artificial intelligence as essential national infrastructure for education. Meanwhile, the United States remains fixated on AI-related cheating risks rather than exploring how AI can enhance learning. Shanghai and China view AI adoption in education as a comprehensive philosophical and systemic transformation comparable to major infrastructure projects like high-speed rail. This contrasts sharply with the U.S. approach, which treats AI as a curriculum topic or isolated tool adoption challenge. The disparity reflects fundamentally different priorities: other nations are investing in AI-based educational infrastructure as an economic imperative, while American discourse remains centered on potential risks and misuse rather than innovation and opportunity.

Read at Fast Company