government official Hangzhou has grand ambitions to turn the eastern Chinese city into a global center for artificial intelligence, and it has the funds to make it a reality. In June, the city pledged $140 million in subsidies to AI companies operating in the city. Not to be outdone, the city of Shanghai quickly launched its own $140 million subsidy program in July, and two months later opened an “AI Innovation Town” offering low-cost office space for startups in the sector. The city of Shenzhen in the south is already committing $70 million a year to support local AI companies and research, while Chengdu in the west has invested $42 million in a startup called Zhipu AI to bring a new model training center and research facility to the city.
This spending frenzy follows a strategy that has been successful in many Chinese industries. In short, the state acts as a cheerleader, financier, and protector, uniting its bureaucrats, executives, and entrepreneurs in a mission that Beijing believes is essential to China's future.
China's top-down approach has made it the envy of much of the world when it comes to industries such as manufacturing and infrastructure construction. But AI, and the innovations it requires, are different. “The Chinese government is struggling with how to support the AI sector,” Paul Triolo, a partner at Albright Stonebridge Group, an advisory firm specializing in Chinese technology, told me. In contrast, the U.S. government is “getting out of the way and trying to create an environment where capital markets and these highly innovative companies can take control.”
So the battle over AI will not only be between engineers and algorithms, but also between China's centralized dictatorship and America's decentralized democracy. American private enterprise and its vast financial resources, human resources, and creative energy will be pitted against a Chinese government determined to control this new technology at all costs. The future of AI is so uncertain that it remains to be seen which approach will win. But as it stands, even China's most disciplined and dedicated policymakers may struggle to compete with the wealth, expertise, and experience of the U.S. private technology sector.
The stakes in this race are high, given how AI promises to change nearly every aspect of our lives. Whichever country claims to be in the lead, it may have an advantage not only technologically and economically, but also diplomatically, militarily, and in any field that relies on ingenuity.
However, in China, this race has a presence. After decades of robust growth, the country's investment-driven economic engine is running dry. The party clearly hopes that AI technology will provide a solution to the country's economic malaise, a way to restore growth without resorting to reforms that could loosen the party's grip on power. China's leaders are keen to leverage AI as society ages and public dissatisfaction grows. If their strategy fails, it could deepen the rift between the party and the people, leading to further repression and a more uncertain future.
All AI companies We are racing to develop smarter, larger language models and the expensive infrastructure to support them. However, the US strategy is primarily to build larger and more powerful models as quickly as possible to drive both AI adoption and profitability. The ultimate goal is for machines to achieve “artificial general intelligence” that rivals the recognition and problem-solving capabilities of the human brain.
In China, the prevailing belief is that AI models are already powerful enough to provide benefits. In August, China's highest governing body, the State Council, pledged to promote “broad and deep integration of AI across all industries and sectors of the economy and society” by 2035. China's leadership wants all civil servants, researchers, factory managers, business executives and army generals to utilize AI as soon as possible.
In the United States, artificial general intelligence is expected to “provide cross-disciplinary benefits across the economy, across the military,” said Scott Singer, a fellow who focuses on technology at the Carnegie Endowment for International Peace. “For China, it's much more about how meaningful increases in economic and perhaps military productivity can create competitiveness.”
Chinese leaders have focused on AI for nearly a decade. In 2017, the State Council introduced a national AI development plan aimed at “making China the world's leading AI innovation center.” The Chinese government has spent at least $200 billion supporting AI over the past decade. When you add in related state funding for chips and other industries, the total is likely more than $300 billion, according to estimates by the Council on Foreign Relations, using survey data released by the National Bureau of Economic Research. China currently poses the only real threat to US leadership in AI.
This kind of state muscle is great for making steel or cars, but it doesn't necessarily work when it comes to conceiving and deploying something as complex as AI. Jeffrey Ding, an expert on China's AI sector at George Washington University, said that when it comes to AI, “it's much harder for governments to almost mandate or just push for large-scale adoption than in other industries.” When it comes to infrastructure, “you can build bridges, you can invest in high-speed rail.” But to get people to use AI systems, “it has to make sense for people from a profit standpoint, from a market standpoint.”
Even worse, Chinese leaders also refuse to liberalize the country's outdated financial system. Bureaucrats are hindering the development of stock markets, and their distrust of private companies scares away investors and venture capitalists. This means that Chinese AI companies cannot raise the kind of funding that their American competitors can easily do. Ding's analysis, based on data from Chinese research institutes, shows that the four largest US tech companies (Google, Microsoft, Meta and Amazon) have collectively invested more than eight times as much in data centers and the infrastructure needed to support AI as China's seven largest internet companies combined. And state funding doesn't seem to be making up the difference.
China's AI sector is further hampered by US restrictions on sales of advanced American AI chips to Chinese companies, as China's semiconductor industry does not yet have the capacity to produce comparable substitutes. Over the objections of many national security experts, President Donald Trump has allowed U.S. semiconductor giant Nvidia to sell more AI chips to China, but maintained the strongest ban on U.S. chips, at least for now. China's efforts to strengthen its own semiconductor industry have failed.
These constraints put Chinese AI companies at a disadvantage. Experts generally agree that U.S. AI models perform better than their Chinese competitors. Without enough investment and chips, Chinese industry may never catch up. Kai-Fu Li, a Chinese AI expert and chairman of venture capital firm Sinovation Ventures, told me that if an American company were to “develop an AI model that rivals human intelligence using breakthrough technology that other companies don't know about, it could really destroy the world.”
But the race It's far from over. Despite these significant hurdles, Chinese AI companies have proven adept at keeping pace with their wealthy American peers. DeepSeek surprised Silicon Valley last year with a model comparable to ChatGPT, but built with far less money and computing power. China's AI industry has also chosen “open source”. This means that the source code for DeepSeek and Alibaba's models is freely available for research, improvement, and sharing, and is cheaper to use than its largely private U.S. alternative.
“The American approach is: I'm a genius. I'm going to win the Nobel Prize. I'll invent something and beat everyone“China's approach is We are all good students. We are not geniuses. we are going to do homework together”
Chinese entrepreneurs and engineers are focusing their efforts on more practical applications of AI that promise broader scope. For example, about 70% of Chinese AI video generation company Kling's users are outside China. Chinese companies are also moving rapidly to leverage the country's vast manufacturing capacity by introducing AI into everyday items such as cars, eyeglasses, toys and transfer devices. Tom Van Dielen, managing partner at Beijing-based technology consulting firm Greenkern, said 17 of China's top 20 car brands have integrated DeepSeek's AI into their models. “China has a better ability than the United States to take many of these new technologies and use them in creative ways,” he said.
Given the questions plaguing the future of AI, what appears to be a clear comparative advantage may turn out not to be the case. Perhaps China's aggressive state spending, open-source AI coding, and interest in common use cases for its technology will ultimately give it an advantage over U.S. companies seeking more theoretical products and pursuing innovative applications at higher costs. Perhaps it is wrong to think of this competition between the US and China as a winner-take-all binary, given the sheer diversity of AI and its potential applications.
Or perhaps this competition will confirm which political and economic model best enables technological innovation: China's active intervention or America's intensive enablement. The United States appears to have the advantage here, but it would be unwise to exclude China and the Communist Party.
