Artificial Intelligence and Global Power Competition

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Artificial Intelligence and Global Power Competition



A park of androids and robot dogs will appear at the new AI faculty at Moscow State University

Artificial Intelligence (AI) has emerged as one of the most important technologies shaping international relations, economic development, and global security. Countries are increasingly competing to develop advanced AI systems because these technologies can improve productivity, strengthen military capabilities, transform industries, and influence the global balance of power.

The United States and China are at the centre of this competition, while the European Union, India, Japan, and other countries are investing in AI research, computing infrastructure, and digital innovation. The global AI race is no longer simply a technological contest; it is also a struggle for economic leadership, strategic independence, and geopolitical influence.

1. The United States–China AI Rivalry

The United States has significant advantages in AI research, advanced semiconductor design, cloud computing, venture capital, and technology companies. American firms have played a leading role in developing powerful AI models, advanced computer chips, and large-scale data centres.

China, meanwhile, is investing heavily in domestic AI development, semiconductor production, robotics, and industrial automation. Its large domestic market, extensive digital infrastructure, and government support provide important advantages.

The rivalry extends beyond commercial innovation. Both countries recognize that leadership in AI can strengthen national security, improve military planning, and influence global technological standards.

Export controls, restrictions on advanced semiconductor technology, competition for research talent, and investment in domestic manufacturing have consequently become important instruments of geopolitical strategy.

2. Semiconductors and Computing Power

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Advanced semiconductor chips are the foundation of modern AI. They are used to train large AI models, process information, and operate powerful computing systems. Access to these chips, data centres, electricity, and technical expertise can determine how quickly a country advances in AI.

The United States has an important position in advanced chip design and AI computing infrastructure, while China is working to strengthen its domestic semiconductor industry and reduce dependence on foreign technology.

In a significant development in October 2026, China proposed new export controls covering AI models, AI agents, and other advanced technologies, citing national security concerns. This illustrates how AI is increasingly treated as a strategic asset rather than simply a commercial product.

3. AI and Military Power

Artificial intelligence is transforming national defence and military strategy. AI technologies can support intelligence analysis, surveillance, cybersecurity, logistics, and the operation of autonomous systems.

Countries that develop reliable AI capabilities may gain advantages in decision-making speed, information processing, and defence planning. However, military applications also create serious risks, including autonomous weapons, cyberattacks, misinformation, and accidental escalation during international crises.

A key international challenge is ensuring that human beings retain meaningful control over decisions involving nuclear weapons and other potentially catastrophic military actions.

4. Economic Competition and Global Influence

AI can increase productivity by automating repetitive tasks, supporting scientific research, improving healthcare, and making businesses more efficient. Countries that successfully develop and adopt AI may attract greater investment, create high-value industries, and strengthen their influence in global markets.

However, the benefits may not be distributed equally. Countries lacking computing infrastructure, skilled workers, reliable electricity, and investment may fall further behind technologically advanced economies.

AI leadership therefore depends not only on developing advanced models but also on making them useful across education, manufacturing, agriculture, healthcare, and public administration. Analysts increasingly view computing capacity, AI adoption, and practical deployment as interconnected dimensions of global competition.


5. The Role of Europe, India, and Other Emerging Powers

Although the United States and China dominate much of the AI rivalry, other countries are seeking to establish their own positions.

  • European Union: Focuses on AI regulation, trustworthy technology, research, and digital sovereignty.

  • India: Is investing in digital infrastructure, AI skills, local-language applications, and technology services.

  • Japan and South Korea: Have strengths in robotics, advanced manufacturing, and semiconductors.

  • Middle Eastern countries: Are investing in data centres, digital infrastructure, and AI research to diversify their economies.

  • Developing countries: Have opportunities to use AI to improve agriculture, education, public services, and healthcare.

These countries can strengthen their influence by building international partnerships, training skilled workers, and developing domestic technological capabilities.

6. Challenges and Risks of Global AI Competition

The global AI race presents several important challenges:

  1. Technological inequality: Wealthier countries may gain disproportionate access to advanced computing resources.

  2. Cybersecurity threats: AI can strengthen cyber defences but may also help attackers develop more sophisticated attacks.

  3. Job displacement: Automation may replace some tasks and require workers to develop new skills.

  4. Misinformation: AI-generated content can be used to spread propaganda and manipulate public opinion.

  5. Lack of international cooperation: Rivalry may weaken efforts to establish common safety standards.

  6. Concentration of power: A small number of governments and companies may control critical AI infrastructure and technologies.

To address these challenges, countries need effective regulation, investment in education, cybersecurity cooperation, and international dialogue on AI safety.

7. Future Prospects and International Cooperation

The future of global power competition will depend partly on how countries manage the relationship between technological innovation and national security. Excessive restrictions could fragment international research and trade, while unrestricted competition could increase security risks.

International cooperation can help establish common standards for AI safety, prevent misuse, and encourage responsible innovation. Countries should also support access to AI education and infrastructure in developing economies.

Rather than focusing exclusively on defeating rivals, governments can seek practical cooperation in areas such as medical research, disaster prediction, climate modelling, and food security.

Artificial intelligence has become a central instrument of global power competition. The United States and China are competing for leadership in advanced AI models, semiconductors, computing infrastructure, and military applications, while other countries are working to protect their interests and expand their technological capabilities.

AI leadership will influence economic growth, national security, international trade, and geopolitical relationships. However, technological progress also brings risks that no single country can manage alone.

The most successful nations will be those that combine innovation, skilled human resources, strong infrastructure, responsible governance, and international cooperation. The challenge for the international community is to ensure that AI becomes a tool for shared prosperity and global stability rather than a source of conflict and inequality.

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