China isn’t just building AI – it’s building the infrastructure to dominate it.
While the US clamps down on chip exports, a new report from SCSP and Strider Technologies details a sweeping state-led surge aimed at long-term AI dominance.
China’s strategy isn’t just about developing models – it’s about owning the computer stack, both on Earth and increasingly in orbit.
The backbone of AI
China’s data center network is the foundation of its AI push. Over 250 data centers are either announced or operational, stretching from Xinjiang to Shanghai.
These high-performance clusters are powered by advanced chips and often strategically located near ports, energy hubs, and manufacturing zones.
They serve as training grounds for large language models (LLMs) and support military surveillance and command systems.
But Beijing’s ambitions aren’t just staying grounded – it’s pushing AI infrastructure into space.
AI leaves Earth
On May 14th, ADA Space and Zhejiang Lab launched the first 12 of a planned 2,800 interconnected supercomputing satellites.
Linked by high-speed lasers, these satellites aim to process data directly in orbit – cutting latency, reducing reliance on ground stations, and enabling autonomous decision-making in real time.
Space-based computing could reshape surveillance, warfare, and the global internet itself.
But despite this, China's heavy government control risks inefficiencies and less innovation flexibility, compared to America's more decentralized model.
Meanwhile, in the US and elsewhere
In contrast, the US is currently more focused on export controls, including chip bans and tariffs aimed at limiting China's access to advanced AI hardware.
Private-sector innovation is pioneering, with companies like Nvidia, OpenAI, Microsoft, and Amazon setting the pace in foundational AI research, model development, and chip design.
While the US and China are in direct competition, there are also developments from other players such as the UK, EU countries, Japan, and South Korea.
While China moves quickly through centralization, the US leverages open innovation with a more resilient and diversified model.
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