How the US‑China AI Race Is Redefining Global Tech Governance

Background and Current Situation

In July 2025, the United States and China intensified their rivalry in artificial intelligence. On July 23, the U.S. administration unveiled an ambitious AI Action Plan aimed at cementing American dominance by loosening regulation, investing in infrastructure, and strengthening international leadership. Three days later, China announced the "Global AI Governance Action Plan" at the World AI Conference in Shanghai and called for the creation of a World AI Cooperation Organization headquartered in Shanghai.

The backdrop of these moves is the ongoing US‑China trade tension, especially strict export controls on advanced semiconductors that have created a shortage of AI chips in China, prompting a fierce technological and geopolitical contest.

US AI Action Plan Details

The plan comprises over 90 policies grouped into three pillars: accelerating AI innovation, building infrastructure, and leading international AI diplomacy. Core measures include deregulation, support for open‑source AI, massive investment in semiconductor and data‑center construction, and export controls designed to limit China’s access to advanced AI chips. For example, the plan proposes using federal land to speed up data‑center deployment while restricting chip exports.

China’s Response and Technological Advances

China counters with an emphasis on openness, sharing, and inclusive development. Premier Li Qiang highlighted at the conference that AI resources are currently concentrated in a few nations and companies, warning that technology lock‑outs could turn AI into a “game for a few players.” China advocates open‑source collaboration, international cooperation, and broad‑based benefits.

Despite export restrictions, Chinese firms have made notable progress. Huawei displayed the Ascend 384 super‑node AI computing system, challenging Nvidia’s top platforms. DeepSeek released the large‑language model R1, narrowing the gap with U.S. models. Companies like Yushu Technology showcased diverse robotics, even staging a robot boxing match, illustrating rapid advances in embodied intelligence.

Tech Lock‑downs and Geopolitical Stakes

Since 2022, the United States has imposed export bans on high‑performance AI chips, including those from Nvidia, creating a chip shortage for Chinese enterprises. Nevertheless, China’s domestic R&D has accelerated, aiming to overcome these constraints.

Globally, such tech monopolies risk creating an uneven AI landscape, limiting access for developing nations. China’s proposal for a global AI governance framework seeks to break these barriers through multilateral cooperation.

Global AI Governance Initiatives and Controversies

At the World AI Conference, China urged the establishment of a World AI Cooperation Organization with three key recommendations: universal accessibility, innovative collaboration, and shared governance to build a widely accepted global AI framework. The proposal received partial support, such as from ASEAN Secretary‑General Gao Jin‑hong, who called for stronger AI governance to combat misinformation and deepfakes.

Former Google CEO Eric Schmidt warned that continued US‑China antagonism could exacerbate global AI imbalances, harming both sides’ long‑term interests. The divergent philosophies—U.S. focus on security and export control versus China’s push for openness and inclusivity—risk fragmenting the global AI governance architecture.

Future Outlook: Cooperation or Confrontation?

The AI rivalry mirrors broader geopolitical struggles. If tech lock‑downs intensify, the global AI ecosystem could fragment, slowing progress and widening development gaps. Risks such as misinformation, deepfakes, and ethical dilemmas will require coordinated international responses that no single nation can provide alone.

China’s proposed cooperation organization offers a potential multilateral platform, but its success hinges on bridging U.S.–China differences. Future pathways may involve balancing competition with collaboration through bodies like the United Nations or ASEAN to set AI governance standards, while both powers seek a middle ground between innovation and security.

Conclusion

The US‑China AI contest reflects the larger trade and geopolitical tension. From the U.S. AI Action Plan to China’s global governance initiative, both sides vie for technological and regulatory supremacy. While export controls pose challenges, they also spur Chinese self‑reliance in chips and large‑model AI. Ultimately, the fate of global AI governance will depend on whether nations can move beyond geopolitical divides to build an open, inclusive, and secure AI ecosystem.