Key Takeaways:
Beijing is preparing to spend 2 trillion yuan ($295 billion) over five years building a nationwide network of interconnected data centers, the most aggressive state-led effort yet to challenge US dominance in artificial intelligence infrastructure.
"Elevating it to a national strategy ensures policy alignment and capital mobilization," Charlie Dai, principal analyst at Forrester Research, said. The unified computing network would pool fragmented regional resources and give enterprises broader access to high-performance computing, he said.
State-owned enterprises including China Mobile Ltd. and China Telecom Corp. will operate the bulk of the facilities and ensure connectivity, according to people familiar with the matter. The plan requires that at least 80 percent of technology — including AI chips — come from domestic suppliers such as Huawei Technologies Co., effectively squeezing out Nvidia Corp. and Advanced Micro Devices Inc. The blueprint, still in early discussions, is a central pillar of China's "Six Networks" infrastructure program under the 15th Five-Year Plan covering the period through 2030.
The 2 trillion yuan figure pales next to the more than $700 billion that US tech leaders including Meta Platforms Inc. and Microsoft Corp. are spending on AI this year alone. But Chinese data centers cost less to build due to cheaper labor, components and local government incentives, and the total doesn't include private spending by Alibaba Group Holding Ltd. and Tencent Holdings Ltd. When including power grid integration, total investment could reach at least 5 trillion yuan, the people said.
Domestic Chip Makers Stand to Gain Most
The push to source at least 80 percent of AI chips locally marks a direct challenge to Nvidia and AMD, which have dominated China's data center GPU market despite US export restrictions. Washington recently agreed to allow Nvidia to sell its previous-generation H200 chips to Chinese customers — about a generation behind the cutting-edge Blackwell line — but shipments have yet to begin, signaling Beijing's growing confidence in homegrown alternatives.
In May, nine types of domestic AI chips passed a security review by a Chinese technology-security agency, opening the door to wider adoption in sectors with higher security requirements. The approved chips include products from Huawei, Alibaba Group, Shanghai Biren Technology Co. and Moore Threads Technology Co. — all potential beneficiaries of the state-led buildout.
The policy also creates opportunities across the broader supply chain. Corning Inc., which supplies optical connectivity solutions for AI data centers, has seen its shares surge 126.6 percent in six months on strong demand from hyperscale networks. The company secured a multiyear agreement with Meta worth up to $6 billion and posted an 80 percent year-over-year revenue jump in its solar business to $370 million in the first quarter of 2026, driven by demand for domestically manufactured solar products.
A Unified Network by 2028
The broad goal is to connect China's fragmented public and private data facilities into a cohesive network by 2028, accelerating AI adoption across healthcare, transportation and urban management. Enterprises in finance, manufacturing and logistics would gain access to more affordable and flexible computing capacity, while inland provinces could attract more digital-industry investment and talent.
Funding will come primarily from sovereign debt, including ultra-long-term special government bonds typically exceeding 10 years, as well as state funds for strategic industries, bank loans and private capital. The plan underscores Beijing's resolve to drive cutting-edge technologies even as spending elsewhere faces pressure from mounting government debt.
For investors, the implications are clear. Chinese state-owned telecom operators and domestic chipmakers stand to benefit from a multiyear procurement cycle, while US semiconductor companies face a gradual erosion of their addressable market in the world's second-largest economy. "Every ecosystem player will benefit from it," Dai said.
This article is for informational purposes only and does not constitute investment advice.
