China Accuses US AI Firms of ‘Coordinated Play’ to Block Competition, September 15
Key Points
China rejected US calls for slower AI development as a strategy to preserve American dominance.
Beijing released its own AI safety framework on September 14 addressing data theft and governance risks.
US-China AI rivalry mirrors Cold War nuclear tensions with both sides racing for technological leadership.
Bilateral talks on AI policy between US and China are scheduled for later September.
China’s government and state media fired back on September 15 at US artificial intelligence executives who called for slower development of frontier models. Anthropic’s Dario Amodei, OpenAI’s Sam Altman, and SpaceX’s Elon Musk proposed easing the pace of AI advancement while tightening restrictions on Chinese model makers. China Daily called this a ‘coordinated play’ designed to preserve US dominance. Beijing’s Foreign Ministry spokesman Guo Jiakun said such calls would ‘disrupt the process of global AI governance.’
Why Beijing sees the slowdown call as a threat
China Daily’s September 14 editorial accused US AI leaders of using safety concerns as cover for competition. The state outlet noted that US restrictions on chips and equipment had already failed to stop Chinese companies from building competitive models, so the slowdown call signals a shift to software-level curbs. ‘The proposed coordination among the three companies sounds rather like a club whose membership rules have been drafted before the guest list is announced,’ the editorial stated. China views itself as excluded from a global AI-safety framework designed by the West.
Beijing’s own AI safety concerns
China is not dismissing AI risks entirely. On September 14, Beijing released an updated AI safety governance framework through its official cybersecurity standards-setting body to address emerging technological risks. China’s minister for State Security, Chen Yixin, published an article in China Cyberspace Magazine warning that AI poses threats to national security, including weaponization risks and data theft. Chen also flagged concerns that AI could amplify social biases, trigger user trust crises, and challenge the Communist Party’s social governance authority.
The US-China AI arms race mirrors Cold War nuclear tensions
Both superpowers are locked in a race to lead frontier AI development, with each side viewing the technology as existential to national power. The US imposed chip export restrictions to slow China’s AI progress, but Chinese companies responded by making their software more efficient and power-efficient to overcome hardware constraints. Bilateral talks between the US and China on AI policy are slated for later in September. The standoff echoes Cold War nuclear diplomacy, when rival superpowers with destructive capability were forced to establish rules protecting humanity.
What investors should watch
The US-China AI dispute will shape regulation, chip supply chains, and software export rules globally. Singapore and other Asia-Pacific economies depend on both markets and will face pressure to choose sides on AI governance standards. Tech firms with exposure to China, such as semiconductor suppliers and cloud providers, face rising geopolitical risk. The US government has restricted China from accessing top-of-the-line AI chips, a strategy Beijing is working to circumvent through software innovation and domestic chip development.
Final Thoughts
China’s rejection of US AI slowdown calls signals the superpowers are unlikely to cooperate on frontier AI governance. Investors should monitor bilateral talks in late September and watch for escalating restrictions on chip exports, software licensing, and data flows between the US and China.
FAQs
China Daily said the proposal by Anthropic, OpenAI, and SpaceX was designed to preserve US AI dominance and exclude China from global governance frameworks, not to address genuine safety risks.
Beijing released an updated AI safety governance framework on September 14 to address emerging risks including data theft, bias amplification, and threats to social governance and national security.
Bilateral talks on AI governance and industry practices between the US and China are scheduled for later in September 2026, according to Channel News Asia.
Chinese AI companies developed more efficient and power-efficient software to compensate for lack of access to advanced chips, allowing them to build competitive models despite hardware constraints.
Disclaimer:
The content shared by Meyka AI PTY LTD is solely for research and informational purposes. Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.
About Author

Huzaifa Zahoor
Co FounderHuzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.
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