On June 28, 2026, Xinhua profiled how Beijing Middle School’s science campus, a designated municipal AI application benchmark school, is deploying AI “assistant teachers” in regular classes. Students use a suite of AI tools and large‑model applications to turn creative ideas into working projects, from code to interactive media.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
This piece is less about a single product and more about how quickly AI is becoming woven into everyday schooling in China. Beijing isn’t just piloting one chatbot in a computer lab; it has formally designated “AI application benchmark schools” and is turning middle‑school classrooms into testbeds for AI‑augmented learning. When students routinely use large‑model tools to prototype ideas, write code and build interactive projects, they grow up treating AI as a default part of problem‑solving rather than a novelty.
From an AGI perspective, that matters because talent and culture are as important as compute. A generation of students comfortable orchestrating agents and tools will be better positioned to push frontier systems in both research and industry a decade from now. It also normalizes AI‑mediated cognition at an early age, raising new questions about dependence, privacy and the subtle ways models can shape how young people think.
The competitive angle is straightforward: countries that move fastest on high‑quality AI education will have a deeper bench of engineers, red‑teamers and policymakers when AGI‑class systems arrive. China is signalling that it intends to be in that group, and that school systems—alongside elite universities and labs—are part of its national AI strategy.

