China's AI Infrastructure Surge Outpaces US as Trump-Xi Summit Looms

In the grasslands of Inner Mongolia, where potatoes have long been the region's calling card, a different kind of harvest is now underway. Massive rectangular data centres are rising from the earth alongside the fields, their construction sites alive with hundreds of workers in yellow helmets, welding sparks, and the steady movement of cranes. Ulanqab, a city built on steppes and volcanoes, has become an unlikely digital frontier—one of several remote provinces where China is building hundreds of data centres to power its artificial intelligence ambitions.

This infrastructure push sits at the centre of a larger contest between Beijing and Washington over technological supremacy. As Donald Trump and Xi Jinping prepare to meet at the White House this week to discuss AI safety, the construction in Inner Mongolia tells its own story about China's intentions. The data centres under construction here will help drive Beijing's stated mission to embed AI across 90 percent of industries and society by 2030. To the Chinese Communist Party, these buildings represent critical infrastructure for economic and national security. One electrical engineer on site described the pace of work with a mix of pride and humour: "This is China speed," he said, calling his country "an infrastructure maniac." He explained that the project operates in phases, with new construction beginning each year.

Beyond bricks and steel, China is also assembling the human capital to match its physical infrastructure. Young engineers and researchers increasingly see opportunity at home rather than abroad. Jack Zhang, a researcher at the University of Science and Technology of China who studied at Yale and Cambridge, was recruited back through a high-level government programme. He explained his decision plainly: the work he wanted to do—applying AI to human health and medicine—required resources, people, and government support that were difficult to access overseas. This shift is measurable. Fewer students and researchers are heading to the United States, and more are returning from America to China. The reversal reflects both the pull of opportunity in China and the push of Trump-era immigration restrictions that have made the American path less welcoming.

China's approach to AI development differs markedly from the American model in one crucial way. While US firms like OpenAI and Anthropic develop closed-source models, keeping their design elements secret, Beijing is encouraging Chinese companies to create affordable, open-source alternatives that people, companies, and countries can modify freely. This strategy has proven effective, allowing Chinese AI firms to innovate rapidly and partly overcome one of their biggest constraints: limited access to advanced chips. Beijing also wants a larger voice in setting global AI rules. Xi Jinping has repeatedly called for more regulation and an international framework, positioning China as an advocate for governance even as it races ahead with development.

The physical footprint of this ambition is substantial. Data centres are being built not only in Ulanqab but also in Ningxia, Gansu, and Guizhou—sparsely populated provinces where land is cheap, weather is cool, and water demand for cooling is lower. China has already developed vast renewable energy capacity in these regions, with wind and solar farms feeding the grid. Yet this expansion carries costs that remain largely invisible in official accounts. Entire villages have been relocated to make way for construction, though the exact number of people displaced and the compensation they received are difficult to pin down. Few locals will discuss the topic openly, as voicing concerns can be dangerous. One anonymous resident summed up the disconnect: "This big data has absolutely nothing to do with ordinary people. What benefits has it brought us?" He noted that few locals had found jobs at the data centres. Others expressed fears that their land would be seized and their ability to farm for a living would vanish.

There are environmental complications as well. While China aims for most of its data centres to run on green energy by 2030, parts of the grid are still powered by coal. Water supply remains a concern in the arid regions of Inner Mongolia. Yet not all voices in the region are sceptical. A man named Zhang, standing near potato fields adjacent to the construction sites, expressed optimism. His children had found jobs at the data centres, and he saw China's technological advancement as a sign of national progress. "China is now at the forefront of the world," he said. "It's not like the 1960s, when it was relatively backward."

The scale of China's talent pipeline is striking. The country produces around five million science and technology graduates each year, compared to roughly half a million in the United States. As more of these graduates remain in China, they encounter a growing ecosystem for innovation. Dang Ronghao, a 27-year-old AI developer working for a leading tech company, described Chinese campuses as increasingly open, allowing him to collaborate with researchers worldwide from his base in Shanghai. He has witnessed research combining AI with nuclear fusion, astrophysics, new materials, and drug development. "I think we are entering a good era," he said. Yet some researchers caution that the system still rewards conformity over challenge. Professor Liu Jun, who has taught at both Harvard and Stanford and now leads the Department of Statistics and Data Science at Tsinghua University, acknowledged this tension. "It's not as open as I wish," he said, noting that encouraging students to ask harder questions and challenge assumptions remains difficult, a product of both culture and institutional structure.

But far from the laboratories and construction sites, many ordinary Chinese people are contending with more immediate economic pressures: a sluggish economy, rising youth unemployment, weak consumer spending, and property prices that have collapsed. In rural areas, an ageing population compounds these challenges. A farmer in Inner Mongolia, checking on his sheep from a cart, spoke with resignation about the AI revolution unfolding around him. His phone screen was cracked, and he paid just over 40 yuan a month for wifi from a pocket dongle. "Big data and all that… pretty good," he said. "But it has nothing to do with me. There haven't really been any changes for me. I don't know about the future." His scepticism points to a gap that may become a challenge for Beijing: how much of China's population is genuinely invested in the tech-driven future its leaders are building, and whether that future will address the economic anxieties that persist across much of the country.