Artificial intelligence is rapidly becoming a central issue in global geopolitics, with the United States and China competing across advanced chips, computing infrastructure, AI models, data and international technology partnerships.

The issue has moved well beyond the technology industry. Governments increasingly view control over the AI supply chain as connected to economic competitiveness, national security and strategic influence. A September 24 analysis by ABC News highlighted how chips, data, energy, models and applications form an interconnected AI ecosystem in which different countries control different critical components.

The growing competition is also creating a parallel discussion about whether Washington and Beijing can cooperate on managing the risks created by increasingly powerful AI systems.

The US-China AI Competition

The United States and China are pursuing different approaches to building their AI capabilities.

American companies remain major developers of advanced AI models and semiconductor technologies, while China is investing heavily in domestic chips, AI models and large-scale computing infrastructure. Chinese companies are also developing open-source systems and seeking to improve the efficiency of AI models when access to the most advanced hardware is restricted.

This competition has made semiconductor technology particularly important.

Advanced AI systems require powerful processors and enormous computing capacity. Restrictions on access to sophisticated chips can therefore affect a country’s ability to develop and deploy increasingly capable AI systems.

China has responded by accelerating efforts to expand domestic semiconductor capabilities. Huawei, for example, has introduced new AI computing technologies as Chinese companies seek alternatives to advanced foreign hardware.

AI Is Also About Energy and Infrastructure

The geopolitical importance of AI does not stop at chips.

Large AI models require data centres containing huge numbers of processors. These facilities consume substantial amounts of electricity and require land, cooling systems, networks and other infrastructure.

That means access to reliable energy is becoming another component of AI competitiveness. Countries that want to expand AI computing capacity must consider electricity generation, grid connections and data-centre infrastructure alongside semiconductor supply.

This creates a complicated global supply chain in which no single country controls every important component.

A Possible AI Safety Communication Channel

Competition has not prevented Washington and Beijing from discussing limited areas of cooperation.

During U.S.-China talks in New York earlier this month, Washington proposed a mechanism through which the two governments could notify each other about serious AI incidents that could have national-security consequences.

U.S. Treasury Secretary Scott Bessent described the proposal as a way of increasing transparency between the world’s two leading AI powers. The exact structure and scope of such a mechanism remain under discussion.

The proposal is significant because some AI-related risks do not stop at national borders.

A major cyber incident, misuse of advanced AI or an unexpected failure involving highly capable systems could potentially affect infrastructure, financial systems or other countries. Both Washington and Beijing therefore have an interest in maintaining communication even while competing technologically.

Why AI Safety Is Becoming a Geopolitical Issue

AI systems can potentially be used for both civilian and security applications.

Governments are concerned about risks involving cyber operations, biological misuse, critical infrastructure and increasingly autonomous systems. These concerns are contributing to discussions about international safeguards and crisis communication.

At the same time, governments do not want safety measures to prevent legitimate technological development.

This creates a difficult policy balance: countries want to move quickly enough to maintain technological competitiveness while also reducing the possibility that increasingly capable systems could create unexpected security problems.

The Global South Becomes Part of the Competition

The AI contest is also expanding beyond Washington and Beijing.

The United States and China are developing international partnerships designed to increase their influence over AI infrastructure, supply chains and governance.

Southeast Asia is becoming an important area of engagement, with countries examining different combinations of American hardware, Chinese-developed software and other international technologies. Some countries may prefer to use technologies from both ecosystems rather than completely align themselves with one side.

This could make AI diplomacy increasingly important for countries that are not themselves leading developers of frontier AI systems.

Why Semiconductor Supply Chains Matter

Modern AI depends on a relatively concentrated network of specialized industries.

Advanced processors require sophisticated manufacturing capabilities, specialized equipment, chemicals and materials. The manufacturing process also depends on companies and facilities located across several economies.

As a result, restrictions affecting one part of the supply chain can have consequences elsewhere.

The growing strategic importance of these technologies helps explain why semiconductors, critical minerals and AI infrastructure are increasingly discussed alongside traditional geopolitical issues such as trade and security.

Competition and Cooperation Can Exist Together

The emerging AI relationship between the United States and China is not simply a story of confrontation.

The two countries are competing over technological capabilities, market influence and supply chains. At the same time, officials are exploring limited communication mechanisms for managing risks.

This combination could become a defining feature of AI geopolitics.

Countries may compete intensely for technological advantages while maintaining narrow channels for preventing accidents, misunderstandings or uncontrolled escalation.

What to Watch Next

Several developments could shape the next phase of AI geopolitics:

• Whether Washington and Beijing establish a formal AI incident-notification mechanism.
• How U.S. technology restrictions affecting advanced chips evolve.
• How quickly China expands its domestic semiconductor and computing capabilities.
• Whether American and Chinese AI initiatives attract more international partners.
• How Southeast Asian and other developing economies balance competing technology ecosystems.
• Whether governments establish broader international rules for advanced AI safety.

The Bigger Geopolitical Picture

AI is becoming part of the infrastructure of global power.

Control over processors, data centres, energy, models and critical supply chains can influence economic competitiveness as well as national-security capabilities. At the same time, the technology creates risks that neither the United States nor China can completely isolate from the rest of the world.

The emerging geopolitical challenge is therefore two-sided: countries are competing to develop and control advanced AI while simultaneously trying to prevent the technology from creating cross-border risks.

The outcome will depend not only on which companies build the most capable models, but also on how governments manage chips, energy, supply chains, international partnerships and communication between competing powers.