Nearly 90 data centers are under construction in Ulanqab, a remote city of fewer than two million people in Inner Mongolia, as Beijing commits $560 billion over five years to expand computing infrastructure for artificial intelligence. The facilities carry the names Huawei, Kuaishou, and VNET, signaling China's aggressive bet that control of AI data infrastructure will determine technological dominance.
This buildout reveals a fundamental imbalance in the global AI race. The United States still holds a commanding lead: as of last year, it had roughly 10 times more AI data centers than China, according to Stanford University research, as well as vastly more computing power overall. American technology firms can access the most advanced chips, the single most important ingredient in developing AI. Yet China is building at a pace that demands strategic attention. Most of Bayin Big Data Industrial Park's densely packed facilities took shape in just two years.
Why Ulanqab? Geography and Political Will
Ulanqab has advantages that Western democracies could hardly replicate. It has abundant open land, strong winds, and plentiful access to cheap green energy. Across this Communist Party-run country, public opposition to data-center construction is absent. There's no environmental review process. No zoning disputes. No community hearings to delay projects for years.
The region's economic shift has already become visible. Ma Rong, 56, who has run a grocery store and guest house there for 30 years, described the change as dramatic: "Before, we'd just sit there and wait for customers. Now we're constantly busy—picking up orders, doing this and that. We barely get a break." He added, "Our business has gotten much better than before." Restaurant owner Liu Baoping, 58, said his daily clientele had doubled as data-center construction expanded, even as environmental quality declined. "The environment isn't as clean as before, but people's incomes and the economy—it's way better," he said.
Beijing casts AI as a growth engine for an economy described as slowing and facing a shrinking population. Chinese leader Xi Jinping told a global artificial intelligence conference in Shanghai this past July that "China has embraced AI with open arms." He pointed to initiatives bringing AI into fields from health to home goods and called its use in manufacturing a "shining hallmark of Chinese modernization." Official statistics say more than 700 million people in China already use AI.
The Investment Gap Narrows
Private Chinese technology companies are putting more money into AI infrastructure, though they remain well behind Silicon Valley peers. Research firm Rhodium Group expects investment by listed Chinese companies to double this year, reaching around $139 billion. That's still less than one-fifth of the $800 billion their U.S. counterparts are investing in AI data centers. The gap remains substantial, but it's closing faster than many analysts predicted.
China faces a serious bottleneck: high-end hardware. U.S. export bans limit Chinese companies' access to advanced AI chips, including certain Nvidia and AMD models, while Beijing has restricted imports of some less powerful options. Domestic chipmakers are trying to catch up, but their technology still trails that of the United States, and supplies of advanced models remain tight. "If you look at the overall production cost of building a data center, chips are the most important factor, and they just don't have enough," said Nick Corvino, a researcher at the Carnegie Endowment for International Peace.
To work around these constraints, China is pursuing a different strategy: plentiful, affordable power. Between 2022 and 2025, the country added electricity capacity equivalent to that of industrial power sources across the entire United States as of the end of 2025. In the first six months of 2026, China wasted enough excess green energy to power Mexico for a year, according to findings from the Centre for Research on Energy and Clean Air and Global Energy Monitor.
Energy Strategy as Competitive Advantage
Beijing's plan depends on channeling excess renewable energy into data centers, especially in western rural areas rich in sun, wind, and land. The government launched the strategy, known as "Eastern data, Western compute," four years ago. China has designated eight national computing hubs, several in the west, and 10 national data-center clusters. Its latest five-year national economic blueprint calls for linking computing infrastructure with green energy.
"China's trying to take advantage of the fact that it has this muscle memory for building energy infrastructure quickly," said Kyle Chan, a fellow at the Brookings Institution. "Whereas for the US, we haven't done this kind of grid buildout in a long time and so we are struggling on the power generation and grid connection front." That's no exaggeration. Chinese chip designers such as Huawei combine clusters of chips to approximate the computing power of more advanced technology. Analysts say the method can handle some tasks, but it uses significantly more electricity—a tradeoff China can afford because of its abundant energy.
The strategy has limits. Some western computing hubs sit too far away to serve certain tasks at the speeds required by urban centers in the densely populated east. Observers have also raised concerns about "ghost data centers": rural projects built to satisfy broad government initiatives but lacking the hardware or users needed to justify the investment.
Inner Mongolia, once a major coal-producing region, has turned into a green-energy hub. Solar panels cover fields, and wind turbines rise above grazing sheep. Nearly half of Ulanqab's electricity grid draws from wind and solar, and major companies are committing resources to grow that share. Under construction several miles from Bayin industrial park, Envision's "Galaxy Campus" spans more than 20 football fields. When complete, it is slated to be among the world's largest data centers by area. Its servers and chips will handle queries sent to AI applications in places such as Beijing. Envision says more than 80 percent of the facility's power will come directly from company-operated wind farms, bypassing the grid. Battery systems will store wind power, and a solid-state transformer will adjust the electricity sent to servers according to demand.
Ricky Zheng, the facility's general manager, said Ulanqab's chilly climate reduces cooling needs. The facility also uses a "zero-water" system with industrial alcohol as coolant. He said the first phase of the planned 2-gigawatt facility was fully booked, with additional phases under construction for AI and cloud services. "AI chips and servers are owned by our off-takers," he said. "When they give us the order to build such a big data center ... they were confident to have enough infrastructure to be installed in these server racks." He added, "We designed this for the next 10 years. You need to get prepared for the future."
Why This Matters:
The stakes reach well beyond technology markets. China's readiness to marshal capital, energy infrastructure, and political will at scale for a strategic objective reveals a governing model built for rapid execution. The U.S. lead in AI chip technology is real and consequential, but China's ability to build supporting infrastructure—data centers and power systems—at a pace and cost that American markets and regulatory frameworks struggle to match is partly offsetting that advantage. The $560 billion commitment reflects a state-directed strategy that treats AI as critical infrastructure, not a consumer technology. If China can use abundant renewable energy and geographic advantages to build data-center capacity that American competitors can't easily replicate, the competitive balance in AI, currently tilted toward the U.S., could shift. The question isn't whether China will close the gap, but how quickly, and whether American policymakers will address the structural advantages authoritarian governance offers in infrastructure development.