Thoughts on the Market

Trump-Xi Talks Put Trade and Tech in Focus

Thoughts on the Market

Show Notes

As President Xi heads to Washington, trade, rare earths and AI are set to dominate the agenda. Our Head of U.S. Public Policy Research Ariana Salvatore unpacks what the meeting could mean for supply chains, tech stocks and the broader market. Read more insights from Morgan Stanley.

----- Transcript -----

Ariana Salvatore: Welcome to Thoughts on the Market. I'm Ariana Salvatore, Head of U.S. Public Policy Research at Morgan Stanley. Today, I'll be talking about next week's U.S.-China summit, specifically the bilateral trade relationship, what we can expect on critical minerals and rare earths, AI dialogues, and what it all means for markets. It's Friday, September 18th at 10am in New York. President Xi is scheduled to visit the White House on September 24th for his second meeting with President Trump this year, and his first White House visit in roughly a decade. The meeting follows President Trump's visit to Beijing in May, where the two sides established a framework for what they call a more constructive relationship of strategic stability. That meeting also produced new trade and investment dialogues, commitments around agricultural purchases and aircraft, and an agreement to begin a dialogue on artificial intelligence. But next week's summit comes at an important moment because several of the temporary arrangements that helped stabilize the economic relationship are due to expire later this fall. We think there are three areas to focus on. The first is trade. The current U.S.-China tariff truce is scheduled to expire in November. Now, public reporting suggests that the two governments are discussing an extension alongside potential announcements on agriculture, non-tariff barriers, and a relatively narrow set of goods that could see lower tariffs. The question for markets, therefore, is less whether next week produces a comprehensive new trade agreement and more so on whether the two sides can extend the current period of stability and prevent another significant increase in tariffs. The second area is critical minerals. This is probably one of the clearest examples of the leverage that each side has over the other. Washington, we think, wants more predictable Chinese exports of rare earths and other critical materials used across semiconductors, autos, aerospace, and defense. Beijing, meanwhile, has been pushing back against U.S. restrictions on Chinese companies' access to advanced technology. Public reporting suggests that both of these issues are part of the negotiations heading into the summit, and the timing here is really important. November 10th is an upcoming cliff affecting China's rare earth restrictions and U.S. technology controls, followed later that month by another deadline covering certain minerals. So what happens next week could determine whether those restrictions remain suspended or begin to snap back. The third area is technology, and increasingly artificial intelligence. The two leaders agreed in May to establish an AI dialogue, and President Trump has specifically said AI will be discussed next week. Reporting also shows that shared AI risks could be one area for discussion, although the broader competitive relationship makes a comprehensive agreement difficult, we think. From a policy perspective, the most important point is that technology restrictions are moving beyond advanced chips. The debate includes cloud and compute access, model distribution, procurement, and potentially the use of certain foreign AI models themselves. In other words, we think that while the summit could produce something like an agreement to keep talking on AI, the underlying shift matters more. AI sovereignty pushes both the U.S. and China toward more restrictions or heavier government involvement even over a longer period of time. We expect that a middle path is the more plausible U.S. approach. So think targeted restrictions on specific Chinese developers rather than a blanket prohibition on Chinese open weight models

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