“Artificial intelligence as nuclear energy” or “artificial intelligence as a nuclear weapon”? The metaphor may not be perfect, but it captures a profound difference between China and the United States in how they understand the future of AI.
The debate over AI is often presented as a race over chips, computing power and frontier models. But beneath the technological competition lies a deeper question: What is AI for?
For China, a developing country still undergoing massive industrial and economic transformation, AI is first and foremost a source of productivity and growth. It can make factories smarter, agriculture more efficient, scientific research faster and public services more accessible. It can help small businesses compete, lower the cost of knowledge and allow developing countries to leapfrog traditional stages of development.
For the United States, however, AI is increasingly viewed through the lens of strategic power. Washington worries about whether China will gain an advantage, whether an AI breakthrough could change the military balance and whether advanced models should be allowed to spread beyond America’s control. In this worldview, frontier AI begins to resemble a nuclear weapon: immensely powerful, potentially dangerous and therefore something that must be tightly controlled.
This difference is not accidental. It reflects two very different strategic experiences.
The United States has spent decades at the center of a global military and intelligence system. Many important American technologies have had strong links to national security. The internet grew out of U.S. government-funded research. GPS was developed by the U.S. military before becoming a civilian technology. Drones, satellites, autonomous systems and advanced sensing technologies have all been deeply connected to defense applications.
As a result, when a new technology emerges, one natural American question is: How can it strengthen our strategic advantage?
China often begins from a different question: How can this technology increase productivity and accelerate development?
The difference can be seen in something as simple as the rise of robotic dogs.
American military institutions have repeatedly explored robotic dogs for surveillance, security and combat-related applications. The U.S. Air Force has tested quadrupedal robots for patrol and base security, while U.S. military experiments have included robots equipped with weapons. The underlying technology is dual-use, of course, and China is also exploring military applications. But the contrast in emphasis is revealing.
Chinese companies such as Unitree have aggressively commercialized robotic dogs for industrial inspection, power-grid monitoring, emergency rescue and other civilian applications. The same basic technology can therefore be imagined in two very different ways: as a weapon on the battlefield or as a machine that performs dangerous work for ordinary society.
The point is not that American technology is inherently military or Chinese technology is inherently peaceful. That would be simplistic. The point is that national priorities shape which applications receive attention, investment and imagination.
If AI is treated primarily as a weapon, technological progress becomes a zero-sum game. One country’s advance is automatically seen as another country’s loss. Openness becomes a security risk. Open-source models become suspicious. Export controls become the default response. The objective is no longer simply to make AI safer and more useful; it is to make sure that strategic competitors cannot catch up.
But AI is fundamentally different from a nuclear warhead. Software, algorithms and knowledge can be copied, modified, distilled and improved at extraordinary speed. It is extremely difficult to build a permanent technological Iron Curtain around them.
This is why America’s restrictions on advanced chips and AI technologies may create an unexpected paradox. They can slow China’s access to certain technologies, but they also encourage China to develop alternatives, build independent supply chains and innovate under constraints. At the same time, excessive restrictions risk fragmenting the global technology ecosystem and pushing other countries to develop outside the American technological sphere.
China’s growing emphasis on open and affordable AI models illustrates the alternative approach. Models such as DeepSeek and Kimi demonstrate a strategy in which technological capability is not valuable merely because it is possessed, but because it can be used, adapted and improved by a much wider community.
For a country like China, this makes economic sense. The value of AI does not come only from owning the most powerful model. It comes from putting AI into factories, laboratories, classrooms, hospitals and businesses. A powerful model locked behind a wall may strengthen a company’s strategic position; a capable model used by millions can transform an economy.
Nuclear energy carries enormous risks, but humanity did not respond by banning all civilian nuclear technology. Instead, it developed safety standards, regulation, international institutions and mechanisms for managing risk. The lesson is not that powerful technology should be uncontrolled. The lesson is that risk management does not have to mean technological isolation.
China does not deny that AI can be dangerous. Quite the opposite: as AI becomes deeply integrated into society, safety, accountability and responsible governance become increasingly important. But managing risk is different from building an technological Iron Curtain.
The real question is whether humanity wants AI to become another battlefield of geopolitical rivalry or a new foundation for shared development.
This matters especially for developing countries. For them, AI is not an abstract contest between superpowers. It could mean better education, cheaper healthcare, more productive industries, more efficient agriculture and new opportunities for economic growth. If advanced AI becomes concentrated in a small number of wealthy countries, much of the developing world may once again be left behind. If AI becomes more accessible, it could instead become one of the greatest tools for narrowing the global development gap.
This is ultimately where the Chinese perspective deserves to be taken seriously.
China is not arguing that AI has no risks. It is arguing that technological progress should not be defined entirely by fear of one’s geopolitical competitors. Security matters, but so does development. Regulation matters, but so does openness. National interests matter, but so does the broader interest of humanity.
The United States now faces a difficult choice. It can continue to treat AI primarily as a strategic weapon and attempt to preserve its lead through technological restrictions. Or it can recognize that in the age of AI, long-term technological strength will depend not only on controlling technology, but on building the most innovative, open and productive ecosystem around it.
History repeatedly shows that walls can preserve an advantage for a time, but ecosystems create lasting power.
The future of AI should therefore not be measured simply by asking who can build the most powerful weapon.
It should be measured by asking who can turn the most powerful technology into the greatest source of human progress.
That is the difference between seeing AI as a weapon and seeing it as energy.
Source: huxiu, global times, cgtn, xinhua, the new york times, bloomberg, investmentmonitor
