Debates on military artificial intelligence (AI) often focus on great power dynamics, overlooking how middle powers like Pakistan embed restraint into their organizational and technical practices. This article introduces Systems Restrained Realism (SRR), a framework extending defensive realism into the machine age by theorizing restraint as a deliberate doctrinal posture.
Using Pakistan as a critical case, the study draws on expert interviews, procurement manuals, and UN submissions to demonstrate how restraint is operationalized through latency as doctrine, embedded organizational oversight, and localized training regimes designed to mitigate classifier fragility. While India’s accelerationist AI trajectory projects capability and ambiguity, Pakistan engineers restraint into systems and decision loops, externalizing it through normative signaling at UN forums. This posture highlights a structural asymmetry where great powers can afford AI misfires, but middle powers face punitive scrutiny for errors, incentivizing opacity. The study challenges dominant narratives that equate restraint with weakness, arguing that in an era of machine-speed conflict, survival may hinge not on what states automate but on what they refuse to.
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