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Published on China-US Focus, a platform associated with the China-United States Exchange Foundation; relevant for understanding geopolitical dimensions of AI governance competition that affect global safety standard adoption.
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Importance: 42/100opinion pieceanalysis
Summary
This article analyzes the divergent AI development strategies of the United States and China, contrasting the US approach of conditional cooperation with China's model of more open, less conditional international engagement. It examines how these competing visions shape global AI governance and influence other nations' technology partnerships.
Key Points
- •China promotes AI cooperation with fewer political or regulatory conditions, appealing to developing nations seeking technology partnerships
- •The US approach tends to attach conditions around security, human rights, or standards compliance to AI collaboration
- •These competing models create geopolitical tension over which governance norms will define global AI development
- •Developing countries may face pressure to choose between US and Chinese AI ecosystems and standards
- •The rivalry has implications for international AI safety standards and which frameworks gain global adoption
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U.S. and Chinese AI Strategies – Competing Global Approaches - Leonardo Dinic - CHINA US Focus
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U.S. and Chinese AI Strategies – Competing Global Approaches
Aug 01, 2025
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Leonardo Dinic
Expert in Geopolitics and International Business, the Future of Work, and Emerging Technologies
In July 2025, the U.S. and China released national AI strategies with global aims: the U.S. ties AI exports to political alignment, while China promotes open cooperation with fewer conditions. These contrasting approaches reflect broader political differences and may give China an edge in global AI influence.
The full PLAN here
National-Scale AI Roadmaps and Industrial Mobilization
Both Beijing and Washington rolled out ambitious AI strategies in July 2025, signaling centralized, top-down coordination. On July 23, the U.S. released America’s AI Action Plan, detailing over 90 federal actions to accelerate innovation, build infrastructure, and assert international leadership. A few days later, at the World AI Conference in Shanghai, China unveiled its own global AI governance and action plan, emphasizing international cooperation and open-source sharing.
At first glance, the U.S. and Chinese plans appear to be quite similar. Both countries recognize that leading in AI requires heavy investments in computing infrastructure, data centers, and high-quality workforce development. The U.S. plan calls for deregulating data-center permitting, boosting grid capacity and overall energy output, and investing in domestic chipmaking and AI talent pipelines. China, continuing its long-standing industrial policy (echoing Made in China 2025), aims to subsidize research in data science and machine learning, while pushing rapid commercialization of newly developed AI products across sectors like robotics, healthcare, and autonomous vehicles.
Emphasis on Global Reach and Influence
Both strategies are globally ambitious, but this is where their differences become clear. The U.S. explicitly promotes the export of its full-stack AI technology (hardware, models, sof
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