Changsha AI+ plan maps six priority tracks through 2035

Changsha’s AI+ blueprint is a good snapshot of how second‑tier Chinese cities are operationalizing Beijing’s “AI + real economy” slogan. Rather than talking about abstract AGI, the plan is all about embedding models into manufacturing, city management, services, and governance, with explicit phase targets for 2027, 2030 and 2035. That matters for the AGI race because it shows where real usage – and therefore real data, feedback loops and revenue – will come from: highly instrumented local economies, not just consumer chatbots. ([hn.chinanews.com.cn](https://www.hn.chinanews.com.cn/news/sxdt/2025/1225/521107.html?utm_source=openai))

If Changsha hits even part of its goals, it will produce a large, labeled corpus of industrial, logistics and public‑service data tuned to Chinese conditions. That sort of structured, longitudinal data is gold for training robust agentic systems and task‑specific copilots. The broader pattern is that provincial and city governments in China are becoming quasi‑customers and quasi‑investors in AI ecosystems, willing to underwrite infrastructure and first deployments in exchange for growth and prestige. For global labs, this doesn’t directly change compute frontiers, but it does raise the floor on applied capability—and it intensifies competitive pressure on cities elsewhere to offer similarly attractive proving grounds for advanced AI.