China is accelerating its construction of data centers and the energy infrastructure required to power artificial intelligence, raising concerns that Beijing's capacity for rapid, large-scale project development could significantly narrow the United States' current lead in AI infrastructure. While the U.S. maintains a substantial lead in the number of data centers—5,427 compared to China's 449 in 2025, according to the Stanford Institute for Human-Centered Artificial Intelligence's 2026 AI Index—China is reportedly advancing at a rapid pace.
China expert Gordon Chang stated that Beijing understands the difficulty of erasing the U.S. advantage if American development continues at its current speed. He suggested that growing opposition to data center development within the U.S. could potentially slow American expansion. Former President Donald Trump echoed this sentiment, writing on social media that "China could not be happier with this anti Data Center movement." He argued that communities embracing data centers would benefit from job creation and tax revenue.
Concerns about the U.S. falling behind in the AI race have also been voiced by political figures. Vice President JD Vance indicated that there is a "very good chance" the U.S. could lose the AI race to China if Democrats regain control of Congress. Vance highlighted a broader issue of the U.S. capacity to generate sufficient power for data centers and other major infrastructure projects, emphasizing the need for increased power generation and a more streamlined regulatory environment.
According to Vance, China generates approximately three times more power than the United States, underscoring the urgency for the U.S. to expand its power generation capabilities. The Chinese Embassy in Washington, however, rejected the framing of AI as a geopolitical contest, with spokesperson Liu Chang stating that "AI should not be owned by major countries, still less dominated by contests and rivalry." Liu pointed to China's 2025 Global AI Governance Action Plan, which aims to accelerate the construction of clean power, next-generation networks, computing capacity, and data centers, and advocated for U.S.-China cooperation for mutual benefit.
Behind these diplomatic statements, Beijing is implementing a significant geographic reorganization of its computing infrastructure through its "East Data, West Computing" initiative. This program directs more computing capacity to western regions, where land is more readily available and renewable energy sources can reduce operational costs. Five of China's eight national computing hubs are now located in western China, with substantial data center construction underway in areas like Horinger, Inner Mongolia, and Zhongwei, Ningxia.
Members of the bipartisan U.S.-China Economic and Security Review Commission noted this rapid buildout during a recent trip to China. Commission Vice Chairman Mike Kuiken observed that the Chinese likely view AI as a frontier of competition, intertwined with advancements in robotics, biotechnology, and manufacturing. Kuiken identified China's ability to operate with fewer regulatory constraints as a key advantage in construction speed, stating that "the Chinese, because they write the rules as they go, and the rule of law largely does not exist, are able to just move faster in terms of building things." However, Kuiken also pointed to China's significant weakness in procuring advanced chips.
The U.S. maintains substantial advantages beyond its data center lead, including outproducing China in notable AI models and attracting significantly more private AI investment. However, the performance gap between top U.S. and Chinese AI models has narrowed considerably. Chang alleged that China is leveraging American opposition to data centers, suggesting that some protests may be linked to China-backed networks, though Kuiken cautioned against viewing all local opposition as part of a broader anti-China campaign, citing genuine concerns over electricity costs, water use, and land development in the U.S.
The competition is increasingly focused on the rapid development of essential infrastructure—electricity, data centers, chips, and networks—needed to support AI at a massive scale.