Artificial intelligence is emerging as one of the most sensitive issues ahead of the upcoming meeting between U.S.
President Donald Trump and Chinese President Xi Jinping, with chips, AI models, military risks and technology controls all on the agenda.
The next Trump-Xi meeting will take place against the backdrop of an increasingly intense competition over artificial intelligence.
For both Washington and Beijing, AI has become more than a technology race. Advances in the field are closely tied to economic growth, national security and military capabilities, making control over advanced computing technology a major point of contention between the two countries.
U.S. Treasury Secretary Scott Bessent is also expected to meet Chinese Vice Premier He Lifeng ahead of the leaders’ meeting, with AI-related issues among the subjects under discussion.
Here are the main technology issues likely to shape the talks.
AI and the risk of military escalation
One of the most difficult questions concerns the use of artificial intelligence in military and cyber operations.
AI systems could eventually become involved in highly sensitive environments, including nuclear command networks and cyber operations.
That creates a difficult problem for two nuclear-armed countries: determining whether an unexpected action was an accident, a technical failure or an intentional attack.
Security experts in both countries have therefore discussed safeguards designed to keep humans involved in critical decisions.
Possible measures include clearer boundaries around AI access to nuclear systems, human oversight of major cyber operations and direct communication channels that could be used during an AI-related crisis.
The challenge is particularly significant because an automated system could potentially accelerate a confrontation before human decision-makers have enough time to understand what happened.
Washington’s accusations over AI model copying
Another major dispute involves how AI companies develop their models.
U.S. officials have accused Chinese companies of using a technique known as knowledge distillation to reproduce capabilities developed by American AI companies.
Distillation itself is a legitimate machine-learning technique. Developers can use the outputs of a larger model to help train a smaller system that is cheaper or more efficient to operate.
The controversy comes from allegations that some companies have used the technique to reproduce the capabilities of competing AI systems on a large scale.
The United States made fresh accusations against several Chinese companies in September, while Chinese officials have rejected the allegations as baseless.
The dispute adds another layer to the broader disagreement over intellectual property and access to advanced AI technology.
Advanced AI chips remain a major sticking point
Computing hardware is another central part of the U.S.-China technology competition.
Since 2022, Washington has introduced restrictions targeting China’s access to advanced semiconductors and chipmaking equipment that can be used to develop powerful AI systems.
The restrictions have made high-end AI processors one of the most strategically important pieces of the relationship between the two countries.
There are also concerns about advanced chips reaching China through indirect channels. At the same time, Washington has been examining whether Chinese companies could access powerful AI computing resources located in data centers outside China.
The issue became even more complicated after the Trump administration permitted sales of Nvidia’s H200 processors to China. The H200 is not Nvidia’s most advanced AI accelerator, but the decision nevertheless generated concern among U.S. officials and lawmakers who argue that access to additional computing power could strengthen China’s AI capabilities.
Washington and Beijing take different approaches to AI regulation
The two countries also have significantly different approaches to regulating artificial intelligence.
The Trump administration has generally emphasized maintaining the pace of American AI development rather than introducing broad new federal restrictions. Trump recently dismissed calls for additional AI regulation as a “hoax,” according to Reuters.
China has taken a more interventionist approach.
Chinese authorities have introduced rules covering areas such as AI algorithms, training data and AI-generated content. Among other requirements, some AI-generated material must be clearly identified as such.
That creates another point of divergence as Washington and Beijing attempt to shape the future development and deployment of the technology.
How close is China to the United States in AI?
Perhaps the biggest question hanging over the discussions is the actual technological gap between the two countries.
U.S. officials have previously estimated that leading Chinese AI models were several months behind their American counterparts. But the distance has become increasingly difficult to define as Chinese companies have accelerated their development.
The competition is particularly visible in open-weight AI models, whose core model parameters can be made available for others to download, study and modify.
Hugging Face CEO Clement Delangue recently argued that China was already ahead in this particular area and suggested that the gap in frontier AI could also narrow rapidly.
That assessment is not the same as an established measurement of overall AI leadership. Comparing frontier models is complicated, and performance can vary significantly depending on the benchmark, model type and application being tested.
Still, the rapid progress of Chinese AI companies has made technological competition a central issue in the broader U.S.-China relationship.
Why the AI issue matters for the Trump-Xi meeting
AI now connects several disputes that were previously treated as separate technology issues.
Semiconductor controls affect access to computing power.
AI model development raises questions about intellectual property and technological competition.
Regulation reflects different approaches to governing the technology.
Military applications introduce potentially serious national-security risks.
That combination makes artificial intelligence one of the most strategically important technology issues surrounding the upcoming Trump-Xi discussions.
Whether the two governments can establish common ground remains uncertain, but the talks demonstrate how quickly AI has moved from being primarily a technology-industry issue to becoming a central element of international relations.
