The Militarization of Artificial Intelligence: A case study of Pakistan
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UNIVERSITI MALAYSIA SARAWAK
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The integration of Artificial Intelligence (AI) into military decision-making, targeting, surveillance and command architectures marks one of the most consequential transformations in contemporary security environments. While great powers dominate global debates on algorithmic warfare, far less is understood about how structurally asymmetric, fiscally constrained and politically volatile states militarize AI to sustain deterrence under intensifying regional rivalries. This research addresses that critical gap by examining Pakistan’s AI militarization through the combined analytical lens of Defensive Realism and to deeply understand military technology aspect in-depth as well, the newly proposed System Restraint Realism (SRR) a framework that reconceptualizes state behavior under conditions where technological acceleration intersects with strategic vulnerability, ethical obligations and institutional fragility. The study has three core objectives; (i) to examine Pakistan’s willingness and capacity to militarize AI under political discontinuities, budget scarcity and dependence on selective technology transfers; (ii) to analyze strategic and algorithmic vulnerabilities arising from AI-enabled systems, including risks of misclassification, spoofing, cyber infiltration and escalation instability; (iii) to examine the extent to which existing legal, doctrinal and ethical mechanisms govern AI deployment within Pakistan’s defense institutions. Methodologically, the research adopts a multi-layered qualitative design that integrates 17 elite in-depth interviews with military practitioners, policymakers and technical experts; documentary analysis of doctrinal papers, defense budgets and policy drafts; to validate expert’s insights. Data were thematically coded to trace how political will, institutional structures and technological constraints shape militarization trajectories. The findings reveal a complex but consistent pattern within military technology adoption culture. Pakistan’s AI militarization is episodic, crisis-triggered and sovereignty-driven. Political will surges during periods of regional tension generating short-lived accelerations in AI-enabled Intelligence, Surveillance and reconnaissance (ISR), counter-drone systems and tactical-level deterrence. Budget scarcity constrains scale but fosters selective indigenous innovation, particularly in Unmanned Aerial Vehicle (UAV) resilience, cyber defense and anomaly-detection architectures. Risk management is operationalized (iv) internally through military Standard Operating Procedures rather than formalized legislation, reflecting Pakistan’s institutional culture and security imperatives. Ethical considerations revolve around operational restraint maintaining human supervision, mitigating algorithmic error and embedding multi-layer verification within command systems similar with Algorithm Bills of Material (ABOM) like norms following technically Article 36 of Geneva Convention for weapon review, acquire and sustain. Conceptually, the research advances SRR as a theoretical contribution extending Defensive Realism into the algorithmic era. SRR demonstrates that for technologically constrained states, the pursuit of AI is not oriented toward power maximization but toward managing vulnerabilities, stabilizing deterrence and preventing strategic subordination. The study concludes that Pakistan’s AI militarization is conservative, survivalist and containment-oriented, offering a new framework for understanding AI adoption in asymmetric nuclear dyads and other similarly positioned states.