China Surpasses Global Leaders in AI Research

China's Dominance in AI Research and Global Collaboration

China has emerged as a global leader in artificial intelligence (AI) research, surpassing the combined output of the United States, the United Kingdom, and the European Union. This shift marks a significant transformation in the landscape of AI research, with China not only producing more publications but also becoming the primary collaborator for researchers across the world.

According to a comprehensive report by Digital Science, the volume of AI research from China alone in 2024 equaled that of the US, UK, and EU combined. The influence of Chinese research is evident in the citation rates, with over 40% of all AI citations globally attributed to Chinese publications. In contrast, the US and EU each accounted for around 10%, while the UK contributed just over 2%. These figures highlight the growing centrality of China in the global AI research ecosystem.

Strategic Importance of AI Research

AI research is increasingly viewed as a strategic asset, with the ability to provide a competitive edge across various fields. As Daniel Hook, CEO of Digital Science and author of the report, explains, controlling the best AI can significantly accelerate research capacity, not just in AI itself but in broader scientific endeavors.

China’s role as a key connector in AI science is underscored by its extensive collaboration networks. Researchers in the UK now co-author more AI papers with China than with the US or EU. Similarly, the EU has seen a shift, with China overtaking both the UK and the US as the major collaborator in AI research among the EU-27 member states. Even in the US, where political efforts have aimed to limit collaboration, Chinese researchers remain the most frequent co-authors in AI.

The Flow of Collaborations

Despite the strong collaborative ties, the flow of partnerships has been predominantly toward China rather than from it. In 2024, only 4% of China’s AI research included co-authors from the US, UK, or EU. In contrast, 14% of US AI publications involved Chinese collaborators, with 8% in the EU and over 25% in the UK. This imbalance underscores China’s position as the prime connector in the global AI research network.

China’s AI workforce includes approximately 30,000 active researchers, compared to 20,000 in the EU and 10,000 in the US. Additionally, China’s PhD and PostDoc AI populations are twice the size of the US’s total AI population. This younger, highly educated cohort is laying the groundwork for sustained innovation in the field.

Innovation and Independence

The development of DeepSeek, an open-source large language model launched in early 2025, exemplifies China’s growing independence in AI. Built using domestic systems rather than US-made Nvidia chips, DeepSeek demonstrates China’s capability to innovate without reliance on foreign technology. The model was released under MIT license, aiming to level the competitive playing field.

Market intelligence firm IDTechEx supports this trend, noting that US export controls on advanced GPUs have spurred the development of domestic alternatives in China. These restrictions have encouraged local industry to focus on compute architecture, efficiency, and model design. DeepSeek is cited as a prominent result of this shift, achieving competitive performance through energy-efficient hardware optimization.

Geographic Spread and Institutional Growth

China’s AI research is not confined to a single region. In 2024, 156 research organizations across China each produced more than 50 AI publications. These institutions span cities such as Beijing, Shanghai, Guangzhou, and Nanjing, showcasing a widespread and robust AI research infrastructure.

In comparison, the EU had 54 such organizations, the US had 37, and the UK had 19. France, which has promoted a national AI strategy since 2018, had none that met the 50-paper threshold. This highlights the disparity in institutional growth and the need for African countries to develop similar structures.

Africa’s Absence in the AI Ecosystem

Africa remains largely absent from the global AI research ecosystem. No African country appears in the top 12 most influential nations in AI. Even the next eight, including Turkey, Saudi Arabia, and Singapore, do not include any African state. According to the report, no African institution produced more than 50 AI publications in 2024, which was the threshold for inclusion in the geographic breakdown.

South Africa, Kenya, Nigeria, and Egypt—often cited as technology leaders in the region—do not register in the core data. For African countries to catch up, they must focus on attracting and retaining talent, investing in infrastructure, and translating research into economic and social benefits.

Conclusion

As China continues to dominate in AI research, the global landscape is shifting. The West is recalibrating to this momentum, while African countries are still forming their responses. With its vast talent pool, strong infrastructure, and strategic focus on innovation, China is well-positioned to maintain its lead in the AI race. The future of AI research will likely be shaped by the interplay between these global players, with China at the forefront.