Sovereign AI·Americas

Trump Blocks US-China AI Collaboration, Citing Security Risks

Global AI Watch · James Harrington··8 min read
Trump Blocks US-China AI Collaboration, Citing Security Risks
Perspectiva editorial

The US blocking AI collaboration with China marks a pivotal shift towards national AI sovereignty by 2027.

What Changed

On September 29, 2026, US President Donald Trump announced the launch of America.gov, an AI-powered platform designed to streamline US government services. During the event, Trump explicitly ruled out any joint AI ventures with China, citing concerns over national security and the protection of US technological secrets. This marks the first time Trump has taken such a definitive stance against Sino-American AI collaboration, emphasizing that the US is "leading by a lot" in the AI sector and does not want to "mix it up" with competitors. Concurrently, a new AI dialogue between the US and China was established, with further talks scheduled for November 2026.

In addition to these developments, Trump reported that a "morally binding" document was signed by technology leaders, including representatives from OpenAI, Anthropic, and Meta, advocating for self-regulation in AI. The announcement of a forthcoming "Super Intelligence Czar" further underscores the administration's focus on AI governance.

Strategic Implications

Trump's decision to exclude China from AI collaboration signifies a strategic shift in US policy, prioritizing technological sovereignty and security over international cooperation. This move is likely to strengthen the position of US tech companies by reducing the risk of intellectual property leakage. By advocating self-regulation, the US government is signaling a preference for industry-driven governance over stringent governmental controls, potentially accelerating AI innovation domestically.

Conversely, this policy may strain US-China relations further, complicating trade and regulatory negotiations. China's foreign ministry has already expressed concerns that narratives of threat hinder AI governance, highlighting the geopolitical tension surrounding AI development.

What Happens Next

In the coming months, the US is expected to solidify its AI governance framework, with the appointment of a "Super Intelligence Czar" anticipated by late 2026. This role will likely focus on overseeing AI development and ensuring compliance with self-regulatory standards. Additionally, the US-China AI dialogue scheduled for November 2026 will be a critical juncture for assessing bilateral cooperation potential, despite Trump's current stance.

The emphasis on self-regulation may prompt US tech companies to establish comprehensive internal guidelines to preempt governmental intervention. This could lead to a standardized industry approach to AI ethics and safety.

Second-Order Effects

The strategic distancing from China in AI collaborations may have significant implications for the global technology supply chain. US companies may seek alternative partnerships, potentially increasing collaborations with European and other Asian tech firms. This shift could alter the competitive landscape, affecting semiconductor supply chains and software development partnerships.

Regulatory spillover is also likely, as other countries may adopt similar self-regulation frameworks, inspired by the US approach. This could lead to a global trend of industry-driven AI governance, impacting international regulatory harmonization efforts.

Expert Perspective

The exclusion of China from AI collaboration reflects a broader trend towards national AI sovereignty, as countries prioritize technological independence in critical sectors. Similar to the US-China trade tensions of 2018, this decision underscores the competitive dynamics shaping the AI landscape. Unlike the trade disputes, however, this move directly targets technological capabilities, potentially accelerating the race for AI dominance. Industry experts suggest that while this may bolster US leadership in AI, it could also isolate China, prompting it to enhance its domestic AI capabilities independently.

With the US emphasizing self-regulation, expect a shift in global AI policy discourse towards industry-led governance models by mid-2027.

Free Daily Briefing

Top AI intelligence stories delivered each morning.

Subscribe Free →

Explore Trackers