test The Competition between the US and China for AI Dominance|HAPSc Policy Briefs Series

The Competition between the US and China for AI Dominance

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Published: Jun 30, 2025
DOI: https://doi.org/10.12681/hapscpbs.43197
Keywords:
US China AI new technologies superpowers
Christina Meleouni
Panteion University of Social and Political Sciences, Greece.
Christina Giannou
European Law and Governance School, Greece.
Abstract

This article aims to comparatively study the strategic approaches of the two superpowers, in conquering Artificial Intelligence (AI) with a focus on American innovation in private sector leadership, to maintain superiority, relative to the People's Republic of China, and their focus on state-supported projects, merging military and civilian AI applications with strong national policies that also aim at AI superiority.  By mapping the context of the technological race for leadership between the United States and the People's Republic of China, this paper will illustrate why the current competition is decisive and characterized primarily by the speed of AI development.

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References
Allen, G. (2019, February 6). Understanding China's AI Strategy Clues to Chinese Strategic Thinking on Artificial Intelligence and National Security. Center for a New American Security. Available at: https://www.cnas.org/publications/reports/understanding-chinas-ai-strategy (Accessed: 12/02/2025).
Altman, S. (2025, May 5). OpenAI. Evolving OpenAI’s structure: Available at: https://openai.com/index/evolving-our-structure/ (Accessed: 11/05/2025).
Anderson, D. (2025, May 8). Medium. Amazon’s Kiro: The AI Coding Revolution Unveiled. Available at: https://medium.com/@davidandersonofficial19/amazons-kiro-the-ai-coding-revolution-unveiled-7e579d8099f9 (Accessed: 12/025/2025).
CBaN Editor. (2025, March 13). How China plans to fund its quest for AI dominance. China Banking News. Accessed: https://www.chinabankingnews.com/p/how-china-plans-to-fund-its-quest (Available at: 25/04/2025).
Conroy, G. (2024). How ‘Made in China 2025’ helped supercharge scientific development in China’s cities. Nature.
Department of Defense (2018). Department of Defense. Summary of the 2018 Department of Ddefense Artificial Intelligence Strategy. Available at: https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF (Accessed: 02/02/2025).
Dohmen, H. (2024, September 18). Atlantic Council. Assessing China’s AI development and forecasting its future tech priorities. Available at: https://www.atlanticcouncil.org/content-series/strategic-insights-memos/assessing-chinas-ai-development-and-forecasting-its-future-tech-priorities/ (Accessed: 10/03/2025).
Horowitz, M. C., & Kahn, L. A. (2021, November 4). Council on Foreign Relations. DoD's 2021 China Military Power Report: How Advances in AI and Emerging Technologies Will Shape China’s Military. Available at: https://www.cfr.org/blog/dods-2021-china-military-power-report-how-advances-ai-and-emerging-technologies-will-shape (Accessed: 10/03/2025).
Kania, E., & McCaslin, I. (2021, September). Institute for the study of war. Learning Warfare From The Laboratory— China’s Progression in Wargaming and Opposing Force Training. Available at: https://www.understandingwar.org/sites/default/files/Learning%20Warfare%20from%20the%20Laboratory%20ISW%20September%202021%20Report.pdf (Accessed: 11/02/2025).
Kapuściński, M. (2024, June 4). TTMS. Evolution of AI: From GPT-1 to GPT-4o – Key Features, Milestones, and Applications. Available at: https://ttms.com/chat-gpt-evolution/ (Accessed: 05/05/2025).
Khanal, S. Z. (2024). Development of New Generation of Artificial Intelligence in China: When Beijing’s Global Ambitions Meet Local Realities. Journal of Contemporary China, 34(151), 19–42.
Kreps, S. (2024, December 6). The global AI race: Will US innovation lead or lag? Is Congress about to hand China the AI future? Brookings. Available at: https://www.brookings.edu/articles/the-global-ai-race-will-us-innovation-lead-or-lag/ (Accessed: 02/02/2025).
Kushida, K. (2024, January 9). Carnegie Endowment for International Peace. Silicon Valley Model and Technological Trajectories in Context. Available at: https://carnegieendowment.org/research/2024/01/the-silicon-valley-model-and-technological-trajectories-in-context?lang=en (Accessed: 10/02/2025).
Meleouni, C. (2021). The military use of Artificial Intelligence. Πανδημος. Available at: http://pandemos.panteion.gr/index.php?op=record&lang=el&pid=iid:21219 (Accessed: 11/02/2025).
MIT CSAIL. (2025). MIT CSAIL. Available at: https://www.csail.mit.edu/about (Accessed: 25/02/2025).
MIT-IBM Watson AI Lab. (2025). A Sustainable Model for Industry-University Collaboration. MIT-IBM Watson AI Lab. Available at: https://mitibmwatsonailab.mit.edu/about (Accessed: 09/02/2025).
Ng, K., Drenon, B., Gerken, T. & Cieslak, M. (2025, February 4). BBC. DeepSeek: The Chinese AI app that has the world talking. Available at: https://www.bbc.com/news/articles/c5yv5976z9po (Accessed: 08/05/2025).
Olugbade, O. (2024, October 31). Pacific Forum. How China Plans to Rule the World in Artificial Intelligence. Available at: https://pacforum.org/publications/yl-blog-87-how-china-plans-to-rule-the-world-in-artificial-intelligence/ (Accessed: 10/02/2025).
Professor John McCarthy Father of AI. (2025). Stanford. Available at: http://jmc.stanford.edu (Accessed: 03/02/2025).
Ravipati, S. (2017, August 9). MIT and IBM Partner to Establish $240 Million AI Research Lab. Campus Technology. Available at: https://campustechnology.com/articles/2017/09/08/mit-and-ibm-partner-on-ai-research-lab.aspx?m=1 (Accessed: 15/02/2025).
Sayler, K. M. (2020, November 10). congress.gov. Artificial Intelligence and National Security. Available at: https://www.congress.gov/crs-product/R45178 (Accessed: 02/03/2025).
Smith, A. (1776). An Inquiry into the Nature and Causes of the Wealth of Nations.
Stanford Artificial Intelligence Lab (SAIL) (2025). Stanford Artificial Intelligence Lab (SAIL). Stanford Artificial Intelligence. Available at: https://ai.stanford.edu/about/ (Accessed: 12/02/2025).
Takach, G. S. (2024). Cold War 2.0: Artificial Intelligence in the New Battle between China, Russia, and America. New York: Pegasus Books.
Taneja, H., & Zakaria, F. (2023, September 6). Harvard Business Review. AI and the New Digital Cold War. Available at: https://hbr.org/2023/09/ai-and-the-new-digital-cold-war (Accessed: 15/02/2025).
The White House. (2025, January 23). Removing Barriers to American Leadership in Artificial Intelligence. The White House. Available at: https://www.whitehouse.gov/presidential-actions/2025/01/removing-barriers-to-american-leadership-in-artificial-intelligence/ (Accessed: 10/02/2025).
Wang, Y., & Chen, D. (2018). Rising Sino-U.S. Competition in Artificial Intelligence. China Quarterly of International Strategic Studies, 4 (2), 241-258.

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