Probability of a U.S.–China Military AI Pact
Probability of a U.S.–China Military AI Pact
Experts put a 40% chance that the U.S. and China sign any agreement on military AI by 2040.
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Our Analysis
How do we interpret these results
The median expert assigns a 5 percent probability that the U.S. and China will formally sign a bilateral agreement on military AI usage before the end of 2027. This figure rises to 16 percent by the end of 2030 and 40 percent by end-2040. Experts’ and Superforecasters’ forecasts were statistically indistinguishable across all three resolution dates.
The median public forecaster also assigns a 5 percent probability of a formal U.S.-China agreement on military AI by end-2027. However, the interquartile range of public forecasters’ predictions skewed higher (i.e., they assigned a greater likelihood of agreement) than that of experts, leading to a statistically significant difference between the groups’ 2027 forecasts. The two groups’ 2030 and 2040 forecasts were statistically indistinguishable.
Notably, in each participant group, the interquartile range widened to about 40 percent by 2040. This indicates substantial disagreement within each respondent group about the longer-term likelihood of a formal military AI deal between the current AI heavyweights.
Forecasts by group
Median forecasts from each group
| group | 2027 | 2030 | 2040 |
|---|---|---|---|
| Experts | 5% | 15.5% | 40% |
| Superforecasters | 2.5% | 15% | 35% |
| Public | 5% | 20% | 35% |
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* Denotes non-overlapping bootstrapped confidence intervals between group aggregates.
Rationale analysis
The main lines of reasoning driving the spread in estimates
The current U.S. presidential administration
Forecasters frequently point to the current U.S. presidential administration as an obstacle to an agreement being signed. “This is quite unlikely during the Trump administration,” writes one, while another notes “the current U.S. 'AI Action Plan' (July 2025) explicitly pivots away from guardrails toward ‘winning the race.’” But many forecasters, although inclined to view an agreement as “unlikely in the current political environment,” view one as “highly likely in the next one”; “I expect no change in posture towards China or military AI in the remainder of the Trump administration, but suspect that the first two years of the next administration (e.g., by the 2030 date) is a potential inflection point.”
Competitive pressures
Many late-resolution respondents emphasize that “in the short term, while both sides are racing to build the ‘best’ AI, I don't see either wanting to constrain itself in writing,” and stress that “AI is viewed as central to future military dominance,” especially given “Taiwan tensions, where [an] AI advantage is decisive.” One writes that “if one side is widely believed to be compounding an advantage, a signed agreement reads less like mutual risk reduction and more like a constraint on the leader’s options.” Another argued that “both sides view military AI as a core competitive advantage,” and therefore, “agreeing to constraints would be perceived domestically as conceding future battlefield advantage.” Several early-resolution respondents acknowledge this dynamic, but come to a different conclusion regarding its effect. One argues “China's technology capacity will eventually outstrip the U.S. in scale and scope, forcing the U.S. to come to the table,” and many point to the shared danger of escalation independent of human control, or a near-miss incident related to the military use of AI, as the potential basis of an agreement: “The deployment of AI-enhanced and autonomous weapons systems by nation-states, actual or fears of escalation around Taiwan, and a high-profile AI near-miss incident will drive cooperation between the two powers.”
Verification issues
Several late-resolution respondents stress that the intangible, dual-use nature of AI will make it hard to verify if an agreement is being violated: “Military AI systems are software-driven, dual-use, and easily repurposed. Neither country would accept inspection or transparency mechanisms capable of meaningfully verifying compliance, and without verification a formal treaty is politically infeasible.” Another echoed that point, writing “it is not obvious how an agreement like this would be verified,” in contrast to Cold War nuclear agreements that were validated via “physical inspections, plane and satellite surveillance.” Early-resolution respondents tend not to address the verification factor, or suggest that an agreement could be symbolic or intended to establish voluntary norms for responsible use rather than technically restrictive, with one noting that that “confidence-building measures...are not necessarily legally binding.”
Trust deficit
Many late-resolution respondents point to the breakdown in trust between the U.S. and China as a major barrier. This forecaster summed up the consensus well: “The current U.S. government has been quite open in saying that any agreement that any U.S. government (including the current U.S. government) agreed [to] in the past will be set aside if/when it is convenient to do so. This doctrine applies to friends and allies (e.g. member[s] of NATO) so China would be extremely naive if it expected the U.S. to keep to any agreement that limited both sides ability to do something that might give it an advantage…I also doubt that many in the U.S.A. would trust China to keep any agreement on the military use of AI.” Early-resolution respondents acknowledge what one characterized as “a historic low in the U.S.-China relationship,” but tend to weigh other drivers more heavily.
Historical precedence
Several early-resolution respondents point to prior agreements between adversaries: “There is a long precedent of competing major powers signing key international agreements around arms control and non-proliferation (like the U.S. and the USSR signing the START I [Strategic Arms Reduction Treaty], INF [Intermediate-Range Nuclear Forces], CTBT [Comprehensive Nuclear Test Ban] and other treaties),” writes one. Others note that in 2024, Biden and Xi agreed that nuclear launch decisions should be left in exclusively human hands, suggesting a nuclear AI agreement of this nature that met the question resolution criteria could come to fruition. Some late-resolution respondents take issue with the nuclear analogy, however, with one writing “it’s not clear that the use of AI in warfare actually inherently produces the type of catastrophic risk that nuclear weapons do…AI can be used in non-lethal warfare, for instance.”
Interpretation of resolution criteria
Early-resolution respondents typically view the bar for a signed agreement as easily surmountable, emphasizing that the “question language sets a low bar for resolution by allowing for a restricted, targeted agreement,” such as a limited Memorandum of Understanding (MoU). Some suggest a “reaffirmation of the Biden-Xi AI-nuclear redline” statement could evolve into a qualifying agreement. Several late-resolution respondents instead highlight the caveat that any “agreement might be multilateral” which could obviate the need for a bilateral agreement.
Rationale examples
High-quality rationales from forecasters across the range
Early-resolution respondents
I don't think it will be expansive, but I could imagine an agreement which sets out very limited principles including disallowing autonomous nuclear weapons.
The most effective approach to AI governance will combine sector-based regulation (primarily in the commercial sphere) with confidence-building measures (CBMs) at the international level (in the military domain). CBMs are transparency-enhancing actions taken by states to reduce the likelihood of unintentional conflict resulting from miscommunication or accidents. They are not necessarily legally binding, and are often designed to be targeted, cumulative, and complementary. Over time, they establish norms for responsible use by addressing different aspects of the same challenge: reducing the risks of opacity and miscalculation associated with the introduction of new technologies. During the Cold War, transparency-enhancing initiatives such as President Eisenhower’s 1955 Open Skies proposal, the Washington–Moscow hotline, the 1972 Incidents at Sea Agreement, and the 1975 Helsinki Final Act each targeted narrow but distinct technical challenges…in November 2024, [the U.S. and China] jointly affirmed the need to maintain human control over the decision to use nuclear weapons. All that [is] to say, despite tense geopolitical competition between the PRC and U.S. currently, the most promising avenue for collaboration is on AI CBMs, which, given the sensitivity around nuclear issues between the two and still the commitment on AI x NC3 [Nuclear Command, Control and Communication], it is highly likely there will be bilateral development. The PRC does participate in international conversations on these topics, including LAWS [Lethal Autonomous Weapon Systems] and REAIM [Responsible AI in the Military Domain], but are unlikely to join a U.S.-led initiative, which means a bilateral commitment will be much more likely.
China sees herself resisting U.S. containment, and will not allow herself to limit her own development while this struggle is happening. In fact, the Chinese have seen themselves in this situation long before when things began to go south after the first round of tariffs during Trump's first term. All the events that have been happening since then have only further confirmed their thesis about U.S. containment and the necessity for self-reliance, industrial production, dominating key technologies, etc. Yet, in the past China has indeed signed declarations and treaties just to ignore them later when they go against their national interest. One example is UNCLOS [United Nations Convention on the Law of the Sea], which has been duly ignored when claiming their own right for the control of the South China Sea.
Presumption that even with a change of political parties in 2029, the status quo will remain in the first half of the next POTUS term, regardless of party/ideology. Presumption that given the possibility of autonomous software (cyberweapons), autonomous control of nuclear weapons, autonomous conventional weapons (drones, mines, etc), that it is in the mutual benefit of major powers to codify some form of international standards re. artificial intelligence. (Therefore little short-term possibility, great long-term possibility)
Late-resolution respondents
Such an agreement would be very difficult to enforce and almost certainly would be broken by both parties because the stakes are too high not to. There may be some symbolic value to such an agreement but considering it would bring no strategic or safety value (because both parties would break it, and they would know that going into it), working toward the agreement would be a low priority for both.
In the short term, while both sides are racing to build the “best” AI, I don’t see either wanting to constrain itself in writing. They can get most of the benefit through ambiguity and dialogue rather than signing anything and even where there’s some alignment, trust is low and verification is weak, which makes formal commitments... unattractive.
This feels highly unlikely to happen at all, but I especially think it is unlikely to be bilateral. It could happen in a multilateral UN-setting or with the EU involved. But given how slow most things develop on the international stage (climate change negotiations, for example), 2040 feels unlikely.
The way this happens is if military AI starts to feel more like early nuclear weapons, (i.e., both sides get genuinely worried about accidents, speed, or loss of control), and then decide that some shared guardrails are better than none. There are already lots of interested actors and pressure on the sidelines, but for this to resolve we need leaders in both countries to converge on that view at the same time. The reason I don’t go higher (even by 2040) is that states can keep talking, signaling restraint, and coordinating informally without ever signing a clean bilateral agreement that clearly meets the resolution criteria. In other words: dialogue is easy [but] signing something explicit about military AI is hard.