While U.S. advocates for AI cooperation with China often feel they are in a marginalized minority fighting a hawkish narrative, their counterparts in China feel their position is mainstream. Chinese academia, industry, and think tanks broadly view international governance collaboration as a priority, not just an acceptable option.

China is crafting a global AI governance narrative emphasizing human control, multilateralism, and openness. This directly opposes the perceived unilateral, capitalistic, and AGI-focused approach of Silicon Valley, positioning China as a more responsible global leader in AI.

China is promoting free, open-source AI to developing nations that cannot afford expensive US systems. This geopolitical strategy aims to build political alliances and set global tech standards, thereby counterbalancing Western influence and creating a new world order.

China champions open-source AI on the global stage to position itself as the open alternative to a restrictive U.S. This narrative is a valuable diplomatic asset, making a complete reversal on open-sourcing advanced models unlikely, even with rising security concerns.

The UN Security Council meeting revealed three distinct approaches to AI governance. The White House advocates for sovereign national control to foster innovation. Anthropic's CEO Dario Amadei pushes for global treaties and verification systems. Meanwhile, OpenAI's Sam Altman attempts to chart a middle path, acknowledging risks without calling for rigid international structures.

Robert Wright argues the US, as the leading AI power, should redefine its national mission. Instead of a breakneck race with China, its goal should be to guide the world toward a stable, coordinated international framework for AI. This reframes leadership from dominance to stewardship for humanity's collective benefit.

Chinese state media's critique of Anthropic reveals a strategic narrative: framing US-led AI safety and audit rules as a "double standard." China argues the U.S. is creating "cyberweapons" while attempting to restrict Chinese labs, turning safety discussions into a negotiation over technological and global influence.

The US faces a paradox: restricting frontier AI models for domestic safety could push global customers and allies towards unregulated foreign alternatives, like China's. This effort to control AI risks forfeiting the long-term strategic advantage of having US technology become the global standard.

The US pursues AI dominance by providing selective access to its tech stack for allies, creating a controlled ecosystem. In contrast, China focuses on building a self-sufficient, indigenous AI stack, which it then exports via lower-cost models and partnerships, particularly to the Global South.