Finding common ground in the U.S.-China AI rivalry
from Marketplace Tech
8m 23s
The U.S. and China face a shared dilemma in artificial intelligence: balancing rapid innovation with global safety and ethical risks. While both nations express concern over AI’s potential to cause job loss, youth addiction, and system-wide disruption, they approach the issue through divergent political frameworks. The U.S. enforces AI-related export controls on critical technology, which has spurred China to strengthen its domestic AI capabilities and reduce reliance on American tech. In China, AI development is tightly regulated—especially concerning emotional AI and online content—leading firms to remove or restrict AI agents to comply with government rules. Despite intense geopolitical rivalry, unofficial technical dialogues between U.S. and Chinese experts have persisted, focusing on shared risks and safety standards. A notable example is the joint patching of a critical vulnerability in WeChat by a U.S. security firm and Tencent, showcasing cross-border private-sector collaboration. These behind-the-scenes efforts suggest that technical cooperation may outpace political agreements. Rather than expecting a formal pact on AI safety, both sides are more likely to advance trust through expert-led exchanges, emphasizing that responsible innovation requires global coordination beyond state-level competition.
The U.S. and China want AI safety, but no one wants to slow down.
From American public media, this is Marketplace Tech.
I'm Megan McCarty-Kareno.
AI is the big item on the agenda this week, as Chinese President Xi Jinping meets with
President Trump in Washington, D.C.
The talks come after a firestorm of news that has brought AI safety, front and center.
The hack of hugging face by rogue open AI agents, the resignation of an anthropic researcher,
and calls by AI leaders to pace the frontier.
Always met with the rejoinder, what about China?
Sam Sachs is here to tell us more about China's approach to these AI talks.
Jesus, senior fellow at the Think Tank, New America.
Both sides share immense vulnerabilities when it comes to artificial intelligence.
So whether it's we're talking about job loss, youth addiction online, or whether we're
talking about can humans and governments even control AI agents left unmonitored and
wreaking havoc on global systems?
That sense of shared vulnerability is co-existing from the government leadership level with
the sense that if China gets a decisive strategic advantage in AI, it could be game over
for the US.
So that competitive dynamic is existing alongside really deep concern about what this technology
means for the future of humanity.
The main sort of strategic way that the United States has attempted to sort of enforce
that competition with China is export controls on chips, right?
How is that sort of affected the relationship?
Starting in the Biden administration, the US government put controls not just on advanced
semiconductors going to Chinese end users, but also on the manufacturing equipment.
The Chinese side has not responded favorably to this.
It has curtailed their access to the compute needed to train new models, but also to do
what's called inference where you ask a model to reason and perform tasks on your behalf.
So this is one of the main inputs that any country needs to develop and make use of AI,
but what's also happened is that in the absence of US technology, the Chinese domestic industry
has kicked into gear, and I think they're increasingly weaning off reliance of the US.
So it's become counterintuitively less of a choke point than I think the US side may
have intended. The environment and discourse around AI are very different in China in some
very important ways. What do we get wrong in the US about the Chinese AI industry and how
leaders there are thinking about this technology? A lot of people outside of China would be surprised
to learn that Chinese companies, AI labs as well as tech internet platforms are very heavily
regulated in China and they have been for several years. What that looks like is very different
in China's political system than it looks in ours. But to give you an example, the Chinese
public have been very concerned with teenagers, young people staying up all night talking with AI
chatbots or companions. And so the government regulated it. They outlawed agents that developed
human emotional characteristics that led people to an addictive state. I was in China over the
summer and I heard that many of the Chinese AI companies were so concerned about complying
with this regulation that they actually removed many of their AI agents so they were no longer
available as a kind of over compliance. Now that's not to say that it's an area where the Chinese
government is always acting in the best interests of the public. The Communist Party of China and
its political ruling power is also very much front and center. So online censorship and making
sure that AI models are not talking about things that would be subject to the great firewall
are also a source of regulation. So I don't want to make it out to be too rosy a picture as in
something the US would want to copy and paste entirely. But it is a picture that has to be
taken to account. Why? Because there's a narrative in the US that we can't regulate AI because it
would undermine the ability of US companies to innovate and to compete with their Chinese rivals.
But the reality is Chinese companies are heavily regulated and they're innovating
and they're in part looking to us and saying look you're not regulating why should we limit our
own development. We'll be right back. You're listening to Marketplace Tech, I'm Megan McCarty
Carino. We're back with Sam Sachs, Senior Fellow at the Think Tank New America.
So realistically what kind of expectations should we have about what might actually be possible
in these meetings this week? I do not expect a grand bargain on AI for China to come out and say
we are also going to pace the frontier. And frankly I don't think it needs to happen.
So I think what I'm expecting to happen based on the meeting that happened in New York City with
Besant and Holy Fung. I expect to have meetings to talk about meetings. Let's move Trump and she
aside on this topic. They're not going to figure it out. They're not going to agree on a grand bargain.
But if they can signal we endorse our technical experts having a way where they can share information
about some of these issues that will make the world a safer place. How robust have discussions
between technical experts been between these countries so far? Considering all of the heated rhetoric
and the rivalry, I think many people would be surprised to hear that quietly behind the scenes,
there have been informal channels for technical experts to talk. I've been in a number of what are
called track two dialogues where that's people who are not in the government coming together with
academics, with industry practitioners from both sides to talk about shared concerns, to talk
about policies. In terms of the technical experts, that's sometimes where the rubber meets the road.
It's important to have conversations about policy and law. It's also important for people who
understand the technology from an engineering standpoint who can talk about standards for them to
have dialogue. That's actually happening. It's informal. I think it was notable a few weeks ago.
There was an incident where a major vulnerability was found in WeChat, which is a super app in China
that everyone uses to communicate and conduct daily life in China. A US security company actually
found a vulnerability in WeChat that if left undetected and exploited could have wiped out the entire
hundreds of millions of devices using WeChat, not just in China but around the world. This US
security company actually went to Tencent and together they collaborated on patching, mitigating
the vulnerability. That's an important example of non-government, non-state, private actor collaboration,
sharing technical information behind the scenes to make systems more secure that don't stop at
state borders. That's the kind of thing that I think needs to continue to happen and has been
really hard because of the current geopolitical situation. That's Sam Sachs at New America.
Jesus Alvarado produced this episode. I'm Megan McCarty Carino and that's Marketplace Tech.
This is APM.
Podcast Summary
Key Points:
The U.S. and China share deep concerns about AI safety and control, driven by fears of job loss, addiction, and loss of global strategic advantage.
The U.S. has imposed export controls on AI-related chips and equipment, prompting China to limit access to compute resources and accelerate domestic AI development.
China’s AI industry is heavily regulated, especially regarding youth addiction and emotional AI interactions, leading companies to remove or restrict AI agents to comply.
Chinese tech firms face strict censorship rules due to the Great Firewall, limiting AI content that could violate political sensitivities.
Despite geopolitical rivalry, informal technical dialogues between U.S. and Chinese experts are ongoing, focusing on shared risks and safety standards.
A recent vulnerability in WeChat was jointly patched by a U.S. security firm and Tencent, demonstrating private-sector collaboration beyond state borders.
The U.S. narrative that unregulated AI fosters innovation is challenged by China’s example of regulated yet active AI development.
While no grand AI safety agreement is expected, both sides may support technical transparency and expert-led dialogue to enhance global AI safety.
Summary:
S. and China face a shared dilemma in artificial intelligence: balancing rapid innovation with global safety and ethical risks. While both nations express concern over AI’s potential to cause job loss, youth addiction, and system-wide disruption, they approach the issue through divergent political frameworks.
S. enforces AI-related export controls on critical technology, which has spurred China to strengthen its domestic AI capabilities and reduce reliance on American tech. In China, AI development is tightly regulated—especially concerning emotional AI and online content—leading firms to remove or restrict AI agents to comply with government rules.
S. and Chinese experts have persisted, focusing on shared risks and safety standards. S.
security firm and Tencent, showcasing cross-border private-sector collaboration. These behind-the-scenes efforts suggest that technical cooperation may outpace political agreements. Rather than expecting a formal pact on AI safety, both sides are more likely to advance trust through expert-led exchanges, emphasizing that responsible innovation requires global coordination beyond state-level competition.
FAQs
Both countries are deeply concerned about AI's potential to cause job loss, youth addiction, and uncontrolled system disruptions. These shared vulnerabilities have led to a mutual desire to pace AI development and ensure human control over AI agents.
The U.S. has implemented export controls on advanced semiconductors and manufacturing equipment, aiming to limit China's access to key AI technologies needed for training and deploying AI models.
China has reduced its reliance on U.S. technology by accelerating its domestic AI industry and developing alternatives for training and inference, making the restrictions less effective than intended.
Yes, Chinese AI companies and platforms are heavily regulated, especially regarding youth addiction and content compliance. The government has banned AI agents with emotional characteristics that could lead to addictive behavior.
A U.S. security firm discovered a critical vulnerability in WeChat and worked with Tencent to patch it, demonstrating cross-border collaboration to improve AI system security without involving government entities.
No, there is no expectation of a grand bargain. Instead, the focus is on facilitating dialogue between technical experts to share knowledge and establish safety standards.
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