By Quan Zhao GENEVA—When Chinese President Xi Jinping and US President Donald Trump meet in Washington this month, AI will be near the top of the agenda

Moonshot AI’s Kimi is emerging as a Chinese competitor to Anthropic’s Claude, with increasingly comparable capabilities but notable differences in performance, personality and content restrictions. The comparison highlights how the two models reflect distinct technological approaches and regulatory environments as competition between the U.S. and China’s AI industries intensifies.

Evidence shows that the American model builds walls; the Chinese model builds bridges. One locks developing countries out of global governance; the other fights for their seat at the table.

The U.S.-led Pax Silica initiative seeks to reduce dependence on China across critical-mineral, semiconductor, and AI supply chains, but its success will depend on sustained commitment, concrete project delivery, and meaningful benefits for developing-country partners.

The age of robots is here, and the race to dominate the field is clearly led by America and China. Each country’s distinct advantages provide critical insights into the future of industry.

America’s Gold Eagle framework is fragmenting global technology, accelerating the securitization of AI and pushing the world closer to a new kind of technological cold war—one that threatens to make AI a source of permanent global conflict rather than a shared tool for collective progress.​

Competitiveness in artificial intelligence is no longer defined solely by breakthroughs in individual technologies. Instead, it increasingly stems from a self-reinforcing system in which technological innovation, industrial deployment and governance reinforce one another, creating durable systemic capabilities.

Britain may not become a third AI superpower alongside China and the United States, but it is well positioned to serve as an important bridge across different governance frameworks.

Competition in artificial intelligence is a contest across the entire industrial value chain. Only by advancing open innovation, ensuring security and trust, promoting inclusive development and strengthening global governance can AI contribute to shared global prosperity.

Artificial intelligence is becoming a new arms race, and to avoid repeating the mistakes of the past perhaps a drastic unification of competing models could prevent catastrophe.