The United States is intensifying efforts to secure American technological dominance across Asia's rapidly growing digital economy, even as China races to develop competing artificial intelligence systems that are often cheaper and increasingly competitive in the region.
Casey K. Mace, senior official for APEC and economic policy, confirmed Friday that the U.S. is "very active in promoting U.S. AI options and solutions" during the APEC trade ministers' meeting in Suzhou. The push comes as part of a broader strategy following U.S. President Donald Trump's recent visit to China, where he brought a delegation of tech CEOs to discuss market access and technology partnerships.
The competitive positioning reflects a fundamental tension in the region: American companies seeking to expand their footprint in Asian markets face entrenched Chinese competitors offering lower-cost alternatives that appeal to developing economies with constrained budgets.
The Scope of U.S. Engagement
U.S. tech companies will conduct workshops at an APEC "digital week" in Chengdu in about 2 months, with Mace emphasizing this as "an opportunity to engage with all 21 APEC economies." Working-level conversations at this month's meetings focused specifically on promoting American AI in food traceability, genome sequencing, and biotech—sectors with significant economic and public health implications across the region.
Mace declined to name specific companies participating in the initiative but stated he had met with U.S. tech firms already operating in China and expected they would "be able to expand their access to the market." When pressed on whether the U.S. was advocating American technology as "best in class" over Chinese alternatives, Mace pushed back against the framing, suggesting a more measured diplomatic approach.
Diplomatic Opening and Bilateral Talks
The diplomatic tone appears to have shifted following Trump's Beijing visit. According to China's foreign ministry, the two countries agreed 4 days ago to begin discussions about safe development of artificial intelligence, though the timing and structure of those talks remain unclear. Mace attributed the "positive" tone of recent conversations partly to what he called the "very successful meeting between President Trump and President Xi."
These talks represent a potential opening for bilateral cooperation on AI governance—an area where both nations have significant stakes in establishing frameworks that could shape global standards.
Competing Visions in a Strategic Market
Ryan Fedasiuk, a fellow at the American Enterprise Institute, offered perspective on the underlying competition: "There is pressure to distribute American compute globally. The Trump administration is right in trying to advocate and implement with this. But it will compete with Chinese hyperscalers and Chinese AI labs that are attempting to do exactly the same."
Fedasiuk also noted ongoing discussions about potential U.S.-China coordination on screening vendors of DNA synthesis services to prevent future pandemic manufacturing—an area where technological governance intersects with public health security.
The broader context reveals an asymmetry in the competition. While American companies bring advanced technology and established brand recognition, Chinese competitors benefit from lower operational costs, government support, and deep integration into existing Asian supply chains and digital ecosystems. This cost advantage has already shaped competitive dynamics across the region, with Chinese AI solutions gaining traction in markets where affordability is a primary consideration.
The APEC trade ministers' meetings are set to wrap up later this year in Shenzhen, providing additional opportunities for the U.S. to advance its technological agenda across the 21-member economic bloc.
Why This Matters:
The competition for AI dominance in Asia carries significant implications for economic equity and technological sovereignty across the region. Asian economies face a choice between higher-cost American solutions and cheaper Chinese alternatives—a binary that may not serve the interests of developing nations with limited digital budgets. The outcome will shape not only which companies profit from Asia's digital transformation, but also which standards, data practices, and governance frameworks become embedded in critical infrastructure. Additionally, the potential for U.S.-China cooperation on AI safety and biosecurity represents a rare opportunity for multilateral governance of transformative technology, yet remains uncertain. How these negotiations unfold will affect whether AI development in Asia occurs within robust international frameworks or proceeds with minimal oversight.