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1. Introduction: AI as a Reconfiguration of the Global Order

Artificial intelligence (AI) has become one of the most influential factors shaping the contemporary international system. Major powers are competing to lead the new technological revolution that impacts the economy, security, foreign policy, defense, communications, and scientific innovation. The development of AI depends on three strategic inputs: 1. Human talent (research, data engineering, mathematics, computer science). 2. Computational capacity and access to large volumes of data. 3. Robust innovation ecosystems, with companies, universities, and aligned industrial policies. Global spending on artificial intelligence is expected to exceed USD 52 billion over the next three years, consolidating AI as the central axis of the Fourth Industrial Revolution (IDC, 2023; Stanford AI Index Report, 2024).

2. Talent as a Global Strategic Resource

More than 60% of top AI researchers work in the United States, and about half of them are immigrants, primarily from China, India, Europe, and Iran (Stanford AI Index Report, 2024). The so-called brain drain is not merely an academic issue, but a geopolitical one: • States compete to attract talent through visas, high salaries, and access to frontier laboratories. • Innovation in AI depends on who concentrates the largest amount of specialized human capital. The United States dominates due to its ability to attract international researchers, while China compensates through massive investment and domestic talent production.

3. The United States Leads the AI Race for Three Main Structural Reasons

4. China: The Emerging Superpower on the AI Path

China ranks second globally in the AI race but follows a more aggressive, centralized, and ambitious strategy. • Massive investment as state policy: China has pledged to invest more than USD 150 billion by 2030 in AI under its Next Generation Artificial Intelligence Development Plan (AIDP) (Government of China, 2017). • Domestic talent production: China trains more AI engineers than any other country. Annual graduates in science and engineering reach 4.7 million, compared to 600,000 in the United States (UNESCO, 2023). However, a significant portion migrates to the U.S. due to better research conditions. • China’s role in the global AI industry: China leads in AI-based facial recognition, with generative AI startups such as Baidu, SenseTime, Alibaba Cloud, and Tencent AI Lab. It produces massive numbers of publications, although with lower scientific impact than those from the United States. AI is widely implemented in governance, security, and smart cities. • The chip dilemma: China depends on advanced semiconductors produced only by Taiwan (TSMC), South Korea (Samsung), and the United States/Netherlands (ASML). • Export controls: Export restrictions imposed on China since 2022 limit its ability to train frontier models, although the country is making radical investments to achieve chip sovereignty.

5. Europe, India, Israel, Canada, and Other Relevant Actors

6. Africa on the AI Chessboard: Intentions, Challenges, and Opportunities

Although Africa does not lead the AI race, its geopolitical role is growing rapidly for four strategic reasons. Africa is a major producer of critical minerals. AI depends on lithium, cobalt, graphite, and rare earth elements, and Africa holds 70% of the world’s cobalt reserves (in the DRC), as well as other strategic minerals in Zambia, Namibia, South Africa, and Mozambique. This places the continent in a key position within the supply chains for batteries, computers, and data centers. There is also a rapid expansion of digital infrastructure. China, through Huawei and ZTE, has built around 70% of Africa’s 4G network, as well as Ethiopia’s first smart data center and technology innovation hubs in Egypt, Kenya, and South Africa. Africa is entering the AI space through fintech, digital health, smart agriculture, and biometric systems. In terms of AI policy, African countries with formal AI strategies include Egypt, Rwanda, Kenya, and South Africa. • Threats and challenges: limited computational infrastructure, a deep digital divide, the risk of dependence on external technological solutions, the use of AI for political surveillance (as seen in Ethiopia and Uganda), and a shortage of specialized talent.

7. China and Africa: The Intersection of AI, Data, and Geopolitics

China combines its role in AI with its influence in Africa through investments in digital infrastructure, the sale of surveillance systems, the construction of data centers, and technical training programs. This creates interdependence but also raises concerns: Africa could become dependent on Chinese systems that are difficult to replace. Data may become centralized on foreign platforms, and the risk of a technological debt trap adds to existing financial dependence.

8. AI, Regulation, and Global Governance

The rapid expansion of AI calls for international treaties on data use, security standards, limits on military automation, and ethical regulations to protect civil society. Governance will be decisive in determining not only who leads, but also how this technology will be used in the coming decades. In this context, global AI governance has become a new field of geopolitical competition. While the European Union promotes a regulatory approach based on human rights and risk prevention, the United States favors market self-regulation and innovation, and China advances a model of state control and technological sovereignty. Multilateral organizations such as the UN, the OECD, and the G20 have begun discussing common principles, but there is still no binding international regime. The absence of clear rules increases the risks of an algorithmic arms race, the use of AI for mass surveillance, and the deepening of global inequalities in access to and control over technology.

9. Conclusions

The United States leads due to innovation, global talent attraction, and computational capacity. China follows closely with a comprehensive state-led strategy and dominance in global digital infrastructure. Europe, India, Israel, and Canada contribute key elements to the global ecosystem. Africa, while not a leader, occupies an increasingly strategic role due to its resources, data, markets, and alliances. The race for AI will define not only the global economy, but also the balance of power in the international system of the 21st century.