China has rejected calls from U.S. AI executives to slow AI development, framing such warnings as ‘fear mongering’ and instead accelerating its own AI governance framework. The move comes as both nations prepare for high-level bilateral talks on AI policy later this month.
China’s Foreign Ministry spokesperson Guo Jiakun criticized U.S. CEOs—including Anthropic’s Dario Amodei, OpenAI’s Sam Altman, and Elon Musk—for advocating a slowdown in AI development, calling their statements ‘fear mongering, confrontation, and competition’ that would disrupt global AI governance. The remarks followed a May policy directive by China’s cyberspace regulator, economic planner, and industry ministry outlining measures to prevent ‘rogue AI agent incidents’, including mandatory security assessments and state-backed technical standards.
China’s State Security Minister Chen Yixin also emphasized the need to accelerate the construction of an AI security risk prevention system, stating that AI has become ‘the main battleground for global technological competition’ and calling for ‘healthy and orderly’ development. The minister’s comments were published in an official article on September 13, reinforcing Beijing’s stance that AI risks are manageable through regulation rather than existential threats.
U.S. Executives Warn of AI Risks, Cite China’s Pace as a Concern
U.S. AI leaders have publicly urged caution, with Anthropic CEO Dario Amodei arguing in an essay that slowing development could cede strategic advantage to authoritarian regimes, particularly China. Amodei stated that if the U.S. slows its AI progress beyond the lead held by Chinese projects, it risks creating a ‘national security threat’. U.S. President Donald Trump similarly rejected calls for a slowdown, asserting that ‘whoever wins AI, wins’ and emphasizing America’s current lead over China in the field.
The U.S. debate has centered on whether frontier AI could pose an existential threat to humanity, with companies like Anthropic advocating for independent monitors inside AI labs and stricter oversight. In contrast, China’s approach prioritizes state-backed regulation, developer obligations, and open-weight model transparency, where underlying AI parameters are publicly accessible for inspection and modification.
China’s AI Governance: Open Models and State Oversight
China’s May policy directive outlined a multi-layered approach to AI safety, including:
- Mandatory security assessments for AI models before deployment.
- State-backed technical standards to ensure compliance with national guidelines.
- Outside testing requirements to evaluate AI systems for potential risks.
- Developer obligations to prevent misuse, such as rogue AI behavior.
Brian Tse, founder of Concordia AI, noted that Chinese and American experts largely agree on AI risks, but differ in how those risks are framed and prioritized. While U.S. policymakers focus on catastrophic scenarios, Chinese regulators treat AI as a powerful but governable technology, emphasizing technical safeguards over existential warnings.
Industry and Market Reactions
The global AI sector reacted sharply to the contrasting approaches. SoftBank, a major investor in OpenAI, saw its stock drop 10% in Japan amid concerns over slowed AI development. Analysts suggest that China’s push for accelerated AI adoption—coupled with its regulatory framework—could reshape global competition, particularly as U.S. firms face internal debates over pacing.
Upcoming Bilateral Talks and Long-Term Implications
Both nations have signaled that AI policy will be a key topic in upcoming high-level discussions, with China’s approach to open models and state oversight likely to contrast sharply with U.S. proposals for independent oversight and slower development. The divergence reflects deeper geopolitical and industrial priorities, where China seeks to maintain control over AI deployment while the U.S. debates whether to prioritize caution over speed.
Observers note that the two superpowers’ competing visions could define the future of global AI governance, with potential implications for military applications, economic competitiveness, and ethical standards in the coming decade.