Artificial Intelligence and Nuclear Weapons Proliferation: The Technological Arms Race for (In)visibility
David M. Allison, Stephen Herzog

TL;DR
This paper examines how artificial intelligence accelerates nuclear proliferation risks by enabling new technologies for concealment and detection, emphasizing the need for adaptive policies to manage emerging technological arms races.
Contribution
It introduces a formal model using a Relative Advantage Index to analyze AI-driven proliferation dynamics and evaluates scenario-based risks of nuclear breakout under technological asymmetries.
Findings
AI accelerates PET development and complicates detection.
Asymmetric tech growth widens proliferation uncertainty.
Detection alone may be insufficient without PET governance.
Abstract
A robust nonproliferation regime has contained the spread of nuclear weapons to just nine states. Yet, emerging and disruptive technologies are reshaping the landscape of nuclear risks, presenting a critical juncture for decision makers. This article lays out the contours of an overlooked but intensifying technological arms race for nuclear (in)visibility, driven by the interplay between proliferation-enabling technologies (PETs) and detection-enhancing technologies (DETs). We argue that the strategic pattern of proliferation will be increasingly shaped by the innovation pace in these domains. Artificial intelligence (AI) introduces unprecedented complexity to this equation, as its rapid scaling and knowledge substitution capabilities accelerate PET development and challenge traditional monitoring and verification methods. To analyze this dynamic, we develop a formal model centered on a…
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Taxonomy
TopicsNuclear Issues and Defense · Space Science and Extraterrestrial Life · Risk Perception and Management
