China’s artificial intelligence industry is rapidly emerging as a major force in the global AI race, challenging US technology companies with models that are increasingly capable, cheaper to use and often available as open-weight systems.
For years, the perception was that China was trailing the United States in advanced AI. That picture began to change significantly in 2025, following the global attention generated by Chinese AI startup DeepSeek and its reasoning model.
The development highlighted a key advantage of China’s AI ecosystem: companies can compete not only through model performance but also through aggressive pricing and wider access to AI technology.
China’s Expanding AI Ecosystem
China now has a broad collection of companies developing AI models, ranging from major technology groups such as Baidu, Alibaba and Tencent to startups including DeepSeek, Moonshot, Zhipu and MiniMax.
The growing competition has created a highly active domestic AI market, with companies racing to improve performance while reducing the cost of running their models.
Cost has become particularly important as businesses increasingly use AI for customer service, software development, workflow automation and other commercial applications.
The transcript highlights a comparison in which a website-building task could cost substantially less using a Chinese AI model than comparable US offerings. For businesses operating AI-intensive products, such differences can quickly become significant.
Open-Weight Models Change the Competition
One of China’s most important strategies has been the development and release of open-weight AI models.
Unlike closed models, where users generally access the technology through an online service, open-weight models can allow developers to download the model weights, deploy them and adapt them for specific applications, subject to their respective licenses.
This approach can accelerate adoption because developers and companies have greater flexibility to experiment with the technology.
It can also create a broader ecosystem around a model, with researchers and developers contributing improvements, building applications and adapting systems for different markets.
The downside is monetisation. When multiple companies offer increasingly capable models at very low prices, it becomes harder for AI companies to charge consumers enough to generate large profits.
Chinese AI Finds Users Overseas
The competitive pricing of Chinese AI models is also helping them gain users outside China.
The transcript points to growing adoption of Chinese models in markets including Singapore, Germany and the United States.
For startups, cost can be a decisive factor. One US startup founder cited in the discussion said his company’s monthly AI expenses grew from tens of thousands of dollars to more than $1 million as usage increased.
Switching to open-source Chinese models reportedly reduced those costs dramatically.
The example illustrates a broader issue facing AI companies: the most powerful model is not always the most commercially attractive if a less expensive alternative can deliver sufficiently good results.
Beijing’s Broader AI Strategy
China’s AI push is also connected to a wider economic and technology strategy.
AI is being positioned as one of the technologies that could support future economic growth, alongside sectors such as robotics and green technology.
The strategy also has a global dimension. Affordable AI systems could provide developing countries with an alternative to products from major US technology companies, particularly at a time of increasing trade and technology tensions between Washington and Beijing.
Greater adoption of Chinese AI technology internationally could also give China greater influence over how AI is developed, deployed and governed.
US Technology Still Has Major Advantages
Despite China’s progress, the global AI competition remains highly contested.
US companies continue to have major advantages in frontier AI, computing infrastructure, access to advanced chips and the amount of capital available to fund large-scale AI development.
US companies are also increasingly competing on price, with newer models targeting more cost-sensitive applications.
Meanwhile, US export controls on advanced semiconductors and chipmaking equipment have created additional constraints for China’s AI industry.
This means China is attempting to close the technology gap while operating under restrictions that affect access to some of the most advanced computing hardware.
A Race Without a Clear Finish Line
The US-China AI competition is therefore about more than producing the single most powerful AI model.
The ability to deploy AI cheaply across businesses and industries could prove equally important. Productivity gains, adoption rates, access to computing and the development of AI-enabled products may ultimately determine how much economic value countries derive from the technology.
China’s rise demonstrates that competing in AI does not necessarily require following exactly the same path as Silicon Valley.
By combining lower costs, open-weight models, a large technology ecosystem and strong domestic adoption, Chinese companies are creating an alternative model for AI development.
Whether that approach can translate into global technological leadership remains uncertain. But the growing reach of Chinese AI models has made one thing clear: the global AI race is no longer a competition dominated by a single ecosystem.