The US-China AI race isn't primarily about who builds the smartest models; it's about who controls the supply chains that make those models possible. From rare earth minerals extracted from Arctic ice to data centers powered by nuclear plants, the competition now spans every link in the chain that transforms raw materials into embodied AI, the physical robots and machines that will reshape economies.

What Is the Real Supply Chain Behind AI?

Most people think of AI as software running on servers, but the reality is far more physical. The journey from Earth to artificial intelligence follows a five-layer stack, each one a potential flashpoint for geopolitical conflict.

• Layer One, Energy: China has built out nuclear, coal, solar, and wind capacity at scale, giving it a comfortable lead in the power needed to run data centers.
• Layer Two, Chips: America and its allies dominate semiconductor design, while Taiwan's TSMC dominates fabrication, making the island a critical chokepoint.
• Layer Three, Infrastructure: Data centers convert raw computing power into usable intelligence; leadership here is genuinely contested between the US and China.
• Layer Four, Models: American labs still set the pace for advanced AI models, but China is rapidly dumping cheaper alternatives to undercut Western dominance.
• Layer Five, Applications: This is where companies embed AI into phones, cars, drones, and robots; failure to succeed here could be economically fatal for either power.

But before any of these layers can function, you need something more fundamental: minerals. And that's where China has quietly built an almost unassailable advantage.

Why Are Rare Earth Elements and Critical Minerals the Real Prize?

Rare earth elements are a family of seventeen metals used in small quantities but essential for the efficiency, precision, and reliability of advanced equipment. Critical elements like lithium, copper, nickel, cobalt, and graphite are consumed in bulk and form the physical backbone of batteries, wiring, and digital infrastructure. In simple terms, critical elements build the systems; rare earths enable them to function.

China's leverage doesn't come from what it digs up; it comes from what it refines. Over 90% of the world's rare earth elements are processed in China, and refining capacity is slow and expensive to replicate. This processing dominance has already proven its geopolitical weight. In 2025, China threatened to suspend rare earth exports to America, and Washington backed away from plans to restrict the transfer of critical semiconductor technology.

The American response has been scrambling to stockpile minerals, invest in domestic mining, and assemble critical minerals trade blocs with allies. But the competition is now moving into harder, colder, and more politically awkward territory.

Where Are Nations Looking for New Mineral Supplies?

With the easiest deposits already claimed, competition is pushing into extreme environments and new frontiers. Japan has recovered rare earths from 6,000 meters beneath the Pacific Ocean. Washington has ordered rapid scaling of seabed mining capability. Arctic ice has lost more than 70% of its volume since the 1980s, exposing new deposits and shipping lanes. Greenland holds 25 of the European Commission's 34 designated critical raw materials. And China and Russia are expanding their presence in Antarctica, where mining is currently off-limits but only until 2048.

Space is next on the prospectus. The competition for minerals is no longer confined to Earth, and nations are already positioning themselves for extraterrestrial resource extraction.

This quest for minerals is accompanied by cyber-enabled battles. Insikt Group, a threat intelligence firm, has linked infrastructure associated with state-sponsored groups to the targeting of a Canadian base-metals miner. In 2025, state actors targeted an organization that monitors and regulates seabed mining, just as Beijing signed seabed partnerships with Pacific island states. Indonesia, which holds over 40% of global nickel reserves and whose refining capacity is increasingly controlled by Chinese companies, has absorbed repeated, sophisticated intrusions over the past five years.

How Can Nations Protect Their AI Supply Chains?

Understanding the vulnerability of each layer in the AI stack is the first step toward building resilience. Security leaders and policymakers need to recognize that geopolitical competition now runs along every link in the supply chain, from mines to data centers to the robots themselves.

• Diversify Mineral Sources: Nations should reduce dependence on single suppliers by investing in domestic mining, seabed mining, and partnerships with allied countries to create redundancy in critical mineral supply.
• Secure the Chip Layer: Taiwan's semiconductor dominance makes it a target for state-sponsored reconnaissance and cyberattacks; protecting Taiwanese companies and diversifying chip fabrication capacity is essential.
• Control Infrastructure Placement: Data centers are the new refineries, converting energy and chips into intelligence; nations should court them with power deals and land while ensuring they remain under domestic control or allied oversight.

The infrastructure layer is the least settled and most economically relevant of the five. Whoever ends up owning it will collect rent from everyone above it, which is precisely why its leadership remains the open question in the AI stack.

A key driver for this technological revolution is demographics. The United Nations expects the world's population to peak in the mid-2080s, and working-age populations in industrialized economies are already shrinking. Modern economies have been built on the assumption of an ever-expanding labor pool. Unless nations find a solution to maintain productivity, the economic models in place will fail, which is why understanding the application layer of the AI stack is vital.

The machines at the top of the stack represent a possible solution to the impending population collapse expected before the end of the century. Humanoid robots are increasingly leaving research and development programs and entering the workforce, powered by the AI models trained on the infrastructure built from chips made from minerals extracted from mines around the world.

The US-China AI race is ultimately a race for control of this entire supply chain. The nation that integrates embodied AI into its economy first will likely win, just as Britain harnessed steam power, America maximized steel and electricity, and then silicon. This time, the prize is artificial intelligence in a machine, and the competition has already begun in the mines.