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Are Chinese robots in the West a Trojan horse?

Coming to a factory near you. Credit: Unitree

Coming to a factory near you. Credit: Unitree

June 15 2025 - 1:00pm

Spurred by Donald Trump’s push for industrial reshoring, Chinese robot manufacturers are aiming to enter into the American market.

Produced in large numbers and at relatively low cost by Chinese firms, these industrial robots would first take on menial logistics tasks, potentially paving the way for more advanced humanoid successors.

But this influx of Chinese robots might come with a catch: the harvesting of factories’ sensitive data. So warned a rival American executive, who said this week that high-end industrial robots are able to collect “massive amounts” of data and intellectual property. Daniel Diez, the chief business officer of Agility Robotics, warned that a walking robot equipped with depth-sensitive cameras would pose enough of a privacy risk that American and European buyers might reject them.

“Do you want a walking camera in your facility, filming everything you do, if you don’t trust the manufacturer?” asked Diez, who was speaking in Paris at the VivaTech conference. “I think the biggest problem Chinese manufacturers of these robots are going to have is the level of trust required to deploy these in your facility.”

Another privacy risk arrives before the robots do. Today’s most advanced Western manufacturers use simulated models of their factory floors for purposes that include the training of robots. These models — “digital twins” — are rich in information about the most intricate workings of a factory. The sharing of these models itself poses a privacy risk. “There’s just a lot of sensitive data,” said Diez, “and you have to entrust that to the robot manufacturer in order for these robots to operate in those facilities.”

It is in Agility’s interest, of course, for American manufacturers to prefer domestic robots. But there is plenty of precedent to the suggestion that China is an IP thief. And the easing of the Sino-American trade war, with a deal agreed by Trump and President Xi, could open the door to normalization of economic relations — and perhaps the importing of industrial robots, of which China is now the world’s biggest producer and consumer.

Prompted by factors including the falling Chinese birth rate, the CCP has invested significant funds and intellectual energy into automating domestic manufacturing. As in the West, data is central to these efforts, with factories depending increasingly on computers that sit at the heart of a network of sensors that are in constant operation. At the same time, China is developing some of the world’s best humanoid robots. This category of robot, which looks much more like us than robot arms and other more specialized equipment, is seen by some as representing the future of industry.

Diez said that it was intelligence, rather than physical capability, that is currently constraining the use of humanoid robots. Interact with a robot that is animated by a large language model and you will find it clunky. Another factor is safety: it takes sophisticated programming to ensure that these strong and heavy robots do not accidentally harm their human colleagues.

Nevertheless, Diez said that we should expect advanced robots to profoundly alter the way we work. “I think we’re at the precipice of a fundamental change in the way we think about labor, and how people are used or deployed to do work, absolutely — across the globe, United States, in Europe, in Asia, any developed economy.”

Perhaps to the relief of Diez’s audience, an Agility robot did not manage, when requested, to place a red t-shirt squarely in a basket — but it had more success with grey and green t-shirts. Whether their rivals come from China or America, human workers can expect some disruption.


Tom Ough is a senior editor at UnHerd.


China is threatening America in the AI race

Reports sugget Zhipu AI  has released a new model that can rival leading US systems. Credit: Getty

Reports sugget Zhipu AI has released a new model that can rival leading US systems. Credit: Getty

July 1 2026 - 10:18am

China is trying to catch up with America on artificial intelligence. The Wall Street Journal has reported that Zhipu AI — one of China’s six “AI tiger” LLMs — has released a new model that can rival leading US systems, including Anthropic’s Mythos, in cybersecurity tasks such as pinpointing security bugs. While this marks a milestone in China’s drive to catch up with Western AI capabilities, strong performance on a single benchmark does not mean it has taken the lead. Chinese models still lag behind their Western counterparts in broader capabilities, such as autonomous operation. Skepticism is therefore warranted before resorting to hysterical conclusions, but complacency about the geopolitical implications of China’s AI advances would be an even greater mistake.

On the infrastructure side, Chinese AI is still constrained by access to advanced chips, with American labs way ahead in computing capacity as well as investment. Analysis from earlier this year suggests that Chinese models are likely to be at least a few months behind those in the US. But they are still continuing to make progress, or that the geopolitical importance of AI will be decided only by whose LLM has ventured deeper into the technological frontier. The practical applications of AI, countries’ to capture foreign markets, and the application of AI into the real economy will matter just as much.

Here, China may hold an advantage. As with its dominance across many critical supply chains, Beijing may not need to produce the most advanced AI systems — only those that are affordable and widely deployable. In doing so, it could consolidate global influence by supplying functional, low-cost AI at scale.

Beijing seems to be pursuing exactly that path, developing an AI “open-source” strategy that offers affordable, widely available AI models for companies and individuals to use and modify as they wish. The production of the DeepSeek AI model, which matched the performance of Silicon Valley tools such as ChatGPT at a fraction of the cost for users, created goodwill among Chinese models with developers.

The four most popular models on OpenRouter, an AI hardware platform for developers, are now all Chinese. The goal for China is not only to win the frontier-model race, but to make its systems the default layer of AI adoption across industries and global markets. For most economies, the choice is increasingly between an affordable tool they can deploy now and a more robust one that may be out of reach.

And while the countries adopting Chinese models may be exposed to political pressure and cyber threats from Beijing, safer and more capable alternatives matter little if they are unaffordable. American AI companies are already under pressure to monetize products whose operating costs are rising. If Chinese open-source models become the cheap default for startups, universities, governments and businesses across the developing world, then America’s AI lead will be eroded from below.

Perhaps more concerning for America in the long run is how AI can give Chinese manufacturing even more strength, through the ongoing integration of AI as a general-purpose technology. China’s new Five-Year Plan mentioned AI more than 50 times and includes an “AI+” action plan aimed at spreading AI across the economy.

Beijing has been pioneering automation of its critical infrastructure for years, with promising recent results in increasing warplane production capacity. In that regard, China’s open-model strategy and manufacturing dominance will reinforce each other. Cheap, adaptable models accelerate deployment across the real economy while those deployments generate real-world data and use cases that can feed back into further model improvement.

The United States should not dismiss the importance of its lead in the AI race. That lead worries Beijing, not least because a more automated Chinese economy would also become more vulnerable to AI-generated cyber threats. But nor should Washington assume that China cannot catch up with American capabilities over time.

This AI competition represents part of a broader struggle over tech supply chains and geopolitical influence. Decisions over whether to adopt US or Chinese models could produce a more fragmented global reality, with different regions relying on different cloud providers, chips and security structures. The result will likely be a global economy which is divided into competing spheres, rather than one which produces a single winner.


Miquel Vila is a political and geopolitical risk consultant focusing on industrial strategy, critical infrastructure and global supply chains.

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