In recent years, the previous bipolar nuclear order led by the United States and Russia has given way to a more volatile tripolar one, as China has quantitatively and qualitatively built up its nuclear arsenal. At the same time, there have been significant breakthroughs in the field of artificial intelligence (AI) technologies, including for military applications. As a result of these two trends, understanding the AI-nuclear nexus in the context of U.S.-China-Russia geopolitical competition is increasingly urgent.

There are various military use cases for AI, including classification models, analytic and predictive models, generative AI, and autonomy. Given that variety, it is necessary to examine the AI-nuclear nexus across three broad categories: nuclear command, control, and communications; structural elements of the nuclear balance; and entanglement of AI-enabled conventional systems with nuclear risks. While each of these categories has the potential to generate risk, this report argues that the degree of risk posed by a particular case depends on three major factors: the role of humans, the degree to which AI systems become a single point of failure, and the AI offense-defense balance.

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