Behind-the-scenes AI talks set stage for Trump-Xi summit

Finding common ground before the cameras turn on
Informal expert dialogues between US and Chinese AI researchers are laying groundwork for potential high-level political negotiations.
Mark

So these Track Two talks—they're not official, but they're preparing for something that might be? How does that actually work?

Mimi

Exactly. Think of it as the research phase before the real negotiation. Experts from both sides meet informally, away from government pressure, to figure out where common ground might exist on AI risks. If they find it, that becomes the foundation for what the official delegations discuss.

Luke

But who's actually in these rooms? Are these people speaking for their governments, or are they just academics having a conversation?

Mimi

That's the whole point of Track Two—they're not official representatives. They're researchers, technologists, policy analysts. It gives them freedom to be honest about what scares them without it becoming a diplomatic incident.

Mark

What scares them? What are they actually talking about?

Mimi

The shared vulnerabilities. Supply chain disruption, AI systems behaving in unpredictable ways, the concentration of power in whoever controls the most advanced models. Both countries face these risks, regardless of who's winning the competition.

Luke

So they're assuming there's a shared interest in preventing catastrophe. But is there? Or is the competitive interest just too strong?

Mimi

That's what they're trying to figure out. Whether cooperation on safety and transparency makes sense even while both countries are racing to develop better AI.

Mark

And if they do find common ground, what happens next?

Mimi

It becomes the map for the formal talks. If Trump and Xi meet, the groundwork from these conversations shapes what's actually negotiable.

Luke

But there's no guarantee any of this gets used, right? If the political climate shifts, this all could disappear.

Mimi

Completely. These conversations only matter if the people making the actual decisions decide they care about what was discussed.

  • Both the United States and China are racing to deploy AI systems of unprecedented power while neither fully understands what those systems will do at scale — and that shared uncertainty is driving experts to talk.
  • Because these are not official government talks, researchers can speak candidly about risks and uncertainties without their words becoming bargaining chips in the next round of sanctions or export controls.
  • The conversations are searching for narrow but meaningful common ground: transparency standards, safety testing protocols, and communication channels for when something goes wrong.
  • A potential Trump-Xi summit puts a deadline on the work — if the Track Two map is credible, it could shape the AI agenda at the highest bilateral level in years.
  • But the entire effort could dissolve if political winds shift or if either side concludes that winning the AI race matters more than managing its dangers together.

In seminar rooms and conference centers far from the cameras, American and Chinese artificial intelligence researchers are meeting in the informal diplomatic tradition known as Track Two dialogue — laying groundwork for what may become the most consequential technology conversation of the decade. Ahead of a potential Trump-Xi summit, these unofficial exchanges are attempting something quietly ambitious: to find whether two competing superpowers share enough fear of what they are building to cooperate on how it is governed. History suggests that the maps drawn in back rooms often determine where the formal roads are built.

Somewhere between formal diplomacy and the back rooms where real negotiation happens, a quieter conversation is taking shape. At think tanks and university centers across both countries, American and Chinese AI experts are gathering in what diplomats call Track Two dialogues — the informal networks that often precede and shape the formal talks that make headlines. No government delegation sits across a table from another. Instead, researchers, technologists, and policy analysts are meeting to find common ground before the political pressure mounts and the cameras turn on.

What makes these conversations significant is the problem they are trying to solve. Both nations are racing to develop artificial intelligence of unprecedented capability, and neither fully understands what happens when those systems interact with society at scale. The risks span economic disruption, security vulnerabilities, and the unsettling possibility that neither country can fully predict or control what its own systems will do. By operating outside formal government structures, these dialogues create space for candor that official channels rarely allow — a researcher can voice her fears without it becoming a negotiating position.

The timing is not incidental. A potential Trump-Xi summit would be the highest-level meeting between the two leaders in years, and artificial intelligence is certain to be on the agenda. The Track Two participants are trying to identify whether shared interest in preventing catastrophic outcomes might outweigh the competitive drive to win the race — whether agreements on safety testing, transparency, or dangerous applications are possible at all.

The experts involved understand they are drawing a map, not making policy. That map could shape what happens when official delegations finally sit down — or it could disappear entirely if the political climate shifts. For now, the conversations continue away from the spotlight, in seminar rooms where the question on the table is whether two rivals can find enough common ground to govern the most powerful technology either has ever built.

Somewhere between the formal channels of diplomacy and the back rooms where real negotiation happens, a quieter conversation is taking shape. At think tanks and university centers across both countries, American and Chinese experts on artificial intelligence are meeting to talk about what terrifies them both: the risks that come with building the most powerful technology either nation has ever created.

These are not official talks. No government delegation sits across a table from another. Instead, researchers, technologists, and policy analysts from institutions like universities and independent research centers are gathering in what diplomats call Track Two dialogues—the informal networks that often precede and shape the formal negotiations that make headlines. The purpose is straightforward: to find common ground on artificial intelligence governance before the stakes get higher, before the political pressure mounts, before the cameras turn on.

What makes these conversations significant is what they are trying to do. Both the United States and China face the same fundamental problem: they are racing to develop and deploy artificial intelligence systems of unprecedented capability, and neither fully understands what happens when those systems interact with society at scale. The risks are not theoretical. They include economic disruption, security vulnerabilities, the concentration of power in the hands of whoever controls the most advanced models, and the possibility that neither country can fully predict or control what its own systems will do.

By bringing experts together outside the formal government structure, these dialogues create space for candor that official channels often cannot accommodate. A researcher can say what worries her without it becoming a negotiating position. A technologist can acknowledge uncertainty without it being weaponized in the next round of sanctions or restrictions. The conversation becomes about the problem itself rather than about winning.

The timing matters. A potential summit between Trump and Xi would be the highest-level meeting between the two leaders in years, and artificial intelligence is certain to be on the agenda. The United States and China are locked in competition over AI development, investment, and talent. But they also share vulnerabilities. Both countries depend on semiconductor supply chains that could be disrupted. Both face the possibility that AI systems could be used against them in ways they have not yet imagined. Both are trying to figure out how to regulate technology that is moving faster than regulation can follow.

What the Track Two conversations are attempting is to identify whether there are areas where cooperation makes sense—where the shared interest in preventing catastrophic outcomes might outweigh the competitive interest in winning the race. This could mean agreements on transparency, on safety testing, on the kinds of AI applications that both countries consider too dangerous to deploy. It could mean establishing channels for communication when something goes wrong. It could mean nothing at all if the political will is not there when the formal talks begin.

The experts involved understand they are laying groundwork. They are not making policy. They are not negotiating treaties. What they are doing is creating a map of where agreement might be possible, and where the differences are so fundamental that no amount of dialogue will bridge them. That map, if it is credible and detailed, could shape what happens when the official delegations sit down. It could also disappear entirely if the political climate shifts or if one side decides that competition matters more than cooperation.

For now, the conversations continue in seminar rooms and conference centers, away from the spotlight. The experts are talking about shared risks and possible paths forward. Whether those paths actually get taken depends on decisions that will be made far above their heads.

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