China’s AI balancing act — beating the U.S. but keeping the tech from threatening Beijing’s rule
China is looking to challenge the U.S. in artificial intelligence. China’s tech giants have launched their own AI models.
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China’s race to develop smarter-than-human artificial intelligence may put it ahead of the U.S., but such ground-breaking technology could also risk lessening the stronghold that the ruling Communist Party has over the world’s second-largest economy.
That’s the view of prominent AI scientist Max Tegmark, who told CNBC artificial general intelligence (AGI) is closer than we think and the narrative of a geopolitical battle between the U.S. and China racing to build the smartest AI is a “suicide race.”
While there is no singular definition of AGI, it is broadly taken to refer to AI that can outsmart humans.
Applications like ChatGPT — that allow users to prompt a chatbot for answers — have exploded in popularity. But many AI companies are racing to develop the next level, with AI that has human-level intelligence.
Sam Altman, the CEO of OpenAI, has said that AGI could be achieved by 2025. While there are other major names in the tech sector who also think AGI is close, many others think true AGI is still very far away.
As well as competition between technology companies, there is also the geopolitical battle taking place between the U.S. and China for dominance in realms from AI to chips. While this is often portrayed as a race to be first to the latest technology, Tegmark said this is not the right framing.
“I think of this battle, this geopolitical battle to build AGI first as a ‘hopium war’,” Tegmark told CNBC in an interview last month. ” I call it the ‘hopium war’ because it’s fueled by … delusional hope that we can control AGI.”
Tegmark is the president of the Future of Life Institute, a thinktank which penned a letter last year calling for AI labs to pause the development of advanced AI systems. The letter was signed by major tech names including Tesla CEO Elon Musk. Tegmark’s concern is that AI is advancing rapidly with very few guardrails in place, and no way to control it should it begin to outsmart humans.
“We are much closer to building AGI than figuring out how to control it. And that means that the AGI race is not an arms race, it’s a suicide race,” Tegmark said.
Is China worried about AGI?
China has little incentive to build AGI, according to Tegmark. The AI scientist recalled a story in which Elon Musk told him about a “high level meeting” the Tesla boss had with Chinese government officials in early 2023. Musk said to the Chinese government that if AGI is built, China “will not be controlled by the Communist Party, but by the super intelligence,” Tegmark said.
“[Musk] got a very strong reaction. Some of them, really hadn’t thought about that, and with less than a month from that, China came out with their first AI regulations,” Tegmark said, referencing new regulation governing generative AI.
China’s ministry of foreign affairs was not immediately available for comment on the anecdote. CNBC also contacted Tesla for a response from Musk.
“The U.S. doesn’t need to convince China to not build AGI. Even if the U.S. didn’t exist, the Chinese government would have an incentive to not build it because they want to be in control,” Tegmark said.
“[The] last thing they want is to lose that control.”
China’s approach to AI
AI is a strategic priority for the Chinese government. The country’s biggest firms such as Alibaba, Huawei and Tencent have been developing their own AI models. The capabilities of those models are also advancing.
China was also among the first countries in the world to bring in regulation around various aspects of AI. The country’s internet is heavily censored and any information that appears to go against Beijing’s ideology is blocked. OpenAI’s ChatGPT is banned and it is well-noted that chatbots in China won’t answer questions related to politics and topics deemed sensitive by the Communist Party.
The country’s approach to AI is therefore an attempt to push innovation while also balancing its own interests. When it comes to AGI, China is likely to pursue a similar approach, according to analysts.
“I would not count on China to limit its own AI capabilities due to fears that such technologies would threaten Party rule. Similar predictions were made about the internet, they all proved to be false,” Kendra Schaefer, a partner at consultancy Trivium China,” told CNBC.
“China will attempt to dominate AGI while creating a techno-regulatory apparatus that limits what AGI is permitted to do domestically.”
U.S.-China AI battle
Despite Tegmark’s view that the the race to build AGI is a “hopium war,” geopoltiics remains front and center between the U.S. and China when it comes to development of the technology.
“Right now, China is viewing AI through a dual-lens: geopolitical power and domestic growth,” said Abishur Prakash, founder and geopolitical strategist at Toronto-based strategy advisory firm, The Geopolitical Business.
“With AI, China hopes to shift the balance of power around the globe, like creating a new export model. And, in parallel, China wants to power its economy in new ways, from government efficiency to business applications,” Prakash told CNBC.
The U.S. has pursued a policy of attempting to restrict China’s access to key technologies, mainly semiconductors like those designed by Nvidia, that are required to train more advanced AI models. China has responded by attempting to build its homegrown chip industry.
Will the U.S. and China partner on AI rules?
Technologists have warned of some of the risks and dangers when AGI does finally arrive. One theory is that without guardrails, AI will be able to improve itself and design new systems independently.
Tegmark believes that any such risks will be realized by both the U.S. and China, which will force both countries’ governments to individually come up with rules around AI safety.
“So my optimistic path forward is the U.S. and China unilaterally impose national safety standards to prevent their own companies from doing harm and building uncontrollable AGI, not to appease the rivals superpowers, but just to protect themselves,” Tegmark said.
“After that happens though, there’s this really interesting stage where the U.S. and China will be like, wait, how can we guarantee that North Korea doesn’t build AGI or someone else? And then the U.S. and China have an incentive now to push the rest of the world to join them into an AGI moratorium.”
Indeed, governments are already trying to work together to figure out how to create regulations and frameworks around AI. Last year, the U.K. hosted an AI safety summit, which the U.S. and China were both in attendance, to discuss potential guardrails around the technology.
But regulation and rules around AI are currently fragmented. This year, the European Union enacted the AI Act, the first major law globally governing the technology. China has its own set of rules, while many other countries have not yet moved to create any regulation.
Tegmark’s hope of co-ordination around AI safety is echoed by others.
“When the dangers of competition are greater than the rewards, nations will ideally be motivated to come together and mutually self-regulate,” Trivium China’s Schaefer said.
“Indeed, some Chinese policymakers have advocated for getting out ahead of that potential issue and establishing an international governance body under the UN – similar to the International Atomic Energy Agency – so there is desire on Beijing’s side to establish a global governance body,” she said.
Jensen Huang, chief executive officer of Nvidia Corp., during the US-Saudi Investment Forum at the Kennedy Center in Washington, DC, US, on Wednesday, Nov. 19, 2025.
Stefani Reynolds | Bloomberg | Getty Images
In the weeks leading up to Nvidia’s third-quarter earnings report, investors debated whether the markets were in an AI bubble, fretting over the massive sums being committed to building data centers and whether they could provide a long-term return on investment.
During Wednesday’s earnings call with analysts, Nvidia CEO Jensen Huang began his comments by rejecting that premise.
“There’s been a lot of talk about an AI bubble,” Huang said. “From our vantage point we see something very different.”
In many respects, Huang’s remarks are to be expected. He’s leading the company at the heart of the artificial intelligence boom, and has built its market cap to $4.5 trillion because of soaring demand for Nvidia’s graphics processing units.
Huang’s smackdown of bubble talk matters because Nvidia counts every major cloud provider — Amazon, Microsoft, Google, and Oracle — as a customer. Most of the major AI model developers, including OpenAI, Anthropic, xAI and Meta, are also big buyers of Nvidia GPUs.
Huang has deep visibility into the market, and on the call he offered a three-pronged argument for why we’re not in a bubble.
First, he said that areas like data processing, ad recommendations, search systems, and engineering, are turning to GPUs because they need the AI. That means older computing infrastructure based around the central processor will transition to new systems running on Nvidia’s chips.
Second, Huang said, AI isn’t just being integrated into current applications, but it will enable entirely new ones.
Finally, according to Huang, “agentic AI,” or applications that can run without significant input from the user, will be able to reason and plan, and will require even more computing power.
In making the case of Nvidia, Huang said it’s the only company that can address the three use cases.
“As you consider infrastructure investments, consider these three fundamental dynamics,” Huang said. “Each will contribute to infrastructure growth in the coming years.”
Reversing the slide
In its earnings release, Nvidia reported revenue and profit that sailed past estimates and issued better-than-expected guidance. Last month, Huang provided a $500 billion forecast for sales of the company’s AI chips over calendar 2025 and 2026.
The company said on Wednesday that its order backlog didn’t even include a few recent deals, like an agreement with Anthropic that was announced this week or the expansion of a deal with Saudi Arabia.
“The number will grow,” CFO Colette Kress said on the call, saying the company was on track to hit the forecast.
Prior to Wednesday’s results, Nvidia shares were down about 8% this month. Other stocks tied to the AI have gotten hit even harder, with CoreWeave plunging 44% in November, Oracle dropping 14% and Palantir falling 17%.
Some of the worry on Wall Street has been tied to the debt that certain companies have used to finance their infrastructure buildouts.
“Our customers’ financing is up to them,” Huang said.
Specific to Nvidia, investors have raised concerns in recent weeks about how much of the company’s sales were going to a small number of hyperscalers.
Last month, Microsoft, Meta, Amazon and Alphabet all lifted their forecasts for capital expenditures due to their AI buildouts, and now collectively expect to spend more than $380 billion this year.
Huang said that even without a new business model, Nvidia’s chips boost hyperscaler revenue, because they power recommendation systems for short videos, books, and ads.
People will soon start appreciating what’s happening underneath the surface of the AI boom, Huang said, versus “the simplistic view of what’s happening to capex and investment.”
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