In a sign of the intense competition to dominate the AI sector, China is developing a major state-backed investment program that could direct approximately 2 trillion yuan ($295 billion) toward AI infrastructure over the next five years. The effort is focused on strengthening domestic AI capabilities while reducing dependence on foreign technology.
According to multiple reports, Chinese policymakers are drafting plans for a nationwide network of interconnected data centers and computing hubs that would provide shared access to AI computing resources, and would support AI model training and deployment at scale.
The goal is to create a unified computing environment by 2028, which would support the many Chinese resources now distributed across regions and organizations. Also included in China’s long-term plans are expanded digital infrastructure and greater adoption of advanced technologies, including quantum computing and robotics.
While the proposed investment is substantial, it remains smaller than the combined AI spending plans announced by major US tech companies, which collectively have outlined AI-related expenditures exceeding $700 billion for this year alone.
However, the 2 trillion yuan figure covers publicly funded AI infrastructure and excludes spending by private tech companies. Chinese vendors like Alibaba and Tencent continue to invest heavily in AI capabilities, but those investments are not included in the government proposal.
Additionally, the initiative is expected to extend beyond data centers. Reports indicate that communications infrastructure and power systems may be integrated into the broader buildout. If electricity grid upgrades are included, total investment associated with the project could reportedly exceed 5 trillion yuan.
Limiting US Chip Vendors
The plan’s emphasis on domestic technology calls for Chinese suppliers to provide at least 80% of the infrastructure components, including AI processors. This is good news for local vendors such as Huawei, and it limits opportunities for US chipmakers like NVIDIA. Clearly, part of the objective is to boost technological self-sufficiency amid ongoing competition with the US.
Indeed, the race to build top AI chips has defined competition in the AI sector, and Beijing has been taking steps to strengthen domestic semiconductor adoption. Earlier Chinese government guidance required state-supported data center projects to use locally produced AI chips. More recently, nine Chinese AI chip designs from companies including Huawei, Alibaba, Biren Technology and Moore Threads passed security reviews that could support broader deployment of chip technology.
Most of the plan’s funding is expected to come from government-backed financing mechanisms, including sovereign debt and ultra-long-term special government bonds. State-supported industrial investment funds would also contribute, while commercial lending and private-sector investment could supplement public financing.
The effort is being coordinated by key government bodies including the National Development and Reform Commission (NDRC), which is reportedly creating the framework for the project. State-owned telecommunications providers, including China Mobile and China Telecom, are expected to play a key role in managing the facilities and maintaining links between them.
