Artificial Intelligence and the Nuclear Deterrence Paradox: Rethinking Deterrence in South Asia and the Middle East

This research investigates the transformative impact of artificial intelligence (AI) on nuclear relationships, focusing on the 2025 India–Pakistan and Iran–Israel conflicts. The study addresses a critical research gap: the lack of empirical, comparative analysis on how AI integration alters nuclear deterrence dynamics and crisis stability in real-world regional conflicts. The objective is to empirically test the Nuclear Deterrence Stability Paradox in the AI era, examining whether AI technologies simultaneously reinforce and undermine strategic stability. Employing a mixed-methods comparative case study approach, the research draws on open-source intelligence, defense publications, and quantitative conflict metrics to measure escalation timelines, AI deployment, cyber warfare intensity, and decision-making acceleration. Key findings reveal that AI compresses decision-making timelines, increases inadvertent escalation risks, and enables precision targeting of nuclear infrastructure, challenging traditional deterrence frameworks. The implications underscore the urgent need for new international governance mechanisms and crisis management protocols to address the unique risks posed by AI-enabled nuclear systems.