Why China is pushing back on US warnings over rapid AI development

The piece explains why Beijing is resisting calls from US tech leaders and policymakers to slow the race to ever-more capable AI. US figures such as Anthropic’s Dario Amodei have urged a “worldwide pacing of the frontier” and continued export controls on advanced chips, framing slowdowns as necessary to preserve democratic advantage. China interprets those proposals as an attempt to lock in US dominance and insists AI is a core sovereignty capability that must keep advancing. At the same time, Beijing has produced iterative safety guidance - its third governance framework - addressing risks from agents, cybersecurity and recursive self‑improvement, and it already runs an algorithm registry. Analysts say China’s centralized control makes it better positioned to manage an AI disaster, though Chinese firms undertake less voluntary monitoring than their US peers and neither side is truly prepared for a loss‑of‑control event.

Domestically, China is pushing AI as a growth engine: the latest Five Year Plan, local subsidies, cheap rents for startups and factory automation programs aim to embed AI across the economy. Entrepreneurs are rapidly adopting and building AI tools, and consumer uptake is high (for example, an AI health‑chatbot service claims 150 million users). Regulators have shifted focus from policing outputs to governing what AI does, issued rules to curb emotional dependence on companion bots, and iterate quickly. Public attitudes mix practical enthusiasm with anxiety over jobs and misinformation, but the prevailing view is that China must master rather than slow AI.