When President Donald Trump meets President Xi Jinping, artificial intelligence (AI) will be one of the most prominent topics on the table. The United States and China, the world’s two leading AI powers, see the technology as a decisive factor for economic growth, military capability, and geopolitical influence. Their differing approaches to development, regulation, and security mean that the agenda of the summit is likely to be shaped as much by rivalry as by the search for cooperation.
Why AI is at the centre of the summit
Both leaders have framed AI as a "race" and a "power maximiser". Rebecca Arcesati of the Mercator Institute for China Studies notes that China views AI as essential to its future dominance, while President Trump has repeatedly said that beating China in AI outweighs any potential risks, dismissing those concerns as a "hoax". The Chinese foreign ministry has warned that "narratives of threat" could impede global AI governance, underscoring the diplomatic stakes of the discussion.
Current state of the AI competition
American firms such as OpenAI, Anthropic, and Google lead on the most advanced "frontier" models, with benchmarks showing a modest edge over Chinese counterparts. For example, Stanford researchers reported that as of March 2026 Anthropic’s top model led the pack by just 2.7 %.
- US advantage: Massive private investment and access to cutting‑edge microchips, despite ongoing export restrictions.
- Chinese advantage: Lower electricity costs and a focus on open‑weight models that can be freely downloaded and adapted.
China’s strategy emphasizes rapid deployment across its economy. Models such as Moonshot AI’s Kimi K3 are gaining popularity for delivering near‑frontier performance while remaining open source.
Regulatory philosophies
The United States has largely favoured a light‑touch regulatory stance, arguing that strict rules could slow innovation and let China close the gap. President Trump has said the existing rules are sufficient and that AI only needs a "high IQ" president to keep it in check.
China, by contrast, has introduced non‑binding guidelines on data usage and algorithmic transparency, aiming to keep AI "under human control" while still encouraging rapid development. Analysts such as Lizzi Lee argue that this coordinated approach could give Beijing significant economic and geopolitical leverage even if it lags on the very latest frontier models.
Areas of potential cooperation
Despite the rivalry, there are signs of dialogue on safety. Ahead of the summit, U.S. Treasury Secretary Scott Bessent and Chinese Vice Premier He Lifeng discussed a notification mechanism for serious AI incidents. Policy analyst Leia Wang notes that having AI on the agenda is a "good start", but warns against an "unhealthy version of the race narrative" that could heighten tensions.
Uncertainty and outlook
It remains unclear how the two superpowers will reconcile their divergent risk assessments. While Washington worries about AI capabilities escaping control, Beijing is more concerned about domestic stability and misuse. The lack of a shared understanding of AI’s existential threat makes any joint governance framework tentative at best.
Moreover, the fast‑changing pace of model releases—new systems appear almost monthly in both countries—means that any agreements reached could be quickly outpaced by technological advances. Whether the summit will produce concrete mechanisms for cooperation, or simply reinforce the competitive narrative, is still an open question.
What to watch
- Any formal agreement on AI incident reporting or joint safety standards.
- Statements from both leaders on the balance between innovation and regulation.
- Subsequent policy moves, such as changes to U.S. export controls on advanced chips.
- Continued performance gaps in benchmark tests, which could shift the perceived balance of power.
As the Trump‑Xi summit approaches, AI is set to dominate the agenda, reflecting the broader strategic contest between the United States and China. How the two leaders navigate this high‑stakes rivalry will have lasting implications for the global AI landscape.