Author: Revaz Topuria

Abstract

This article examines what the war reveals about the actual military utility of battlefield AI, its genuine contributions, its structural limitations, and its implications for the future of armed conflict. Drawing on operational reporting, peer-reviewed analysis, and critical war studies scholarship, it traces AI’s role across Ukrainian drone warfare and targeting, the compression of the intelligence-to-strike cycle through platforms such as Palantir, Russia’s more centralised and comparatively underdeveloped AI posture, and the unprecedented involvement of Western private technology firms as de facto participants in the conduct of hostilities. The analysis finds that AI has not proven decisive in the conventional sense, its battlefield value is highly context-dependent, eroded rapidly through adversarial adaptation, and ultimately contingent on institutional integration rather than algorithmic sophistication alone. Engaging Bousquet’s concept of technoscientific regimes and Der Derian’s theory of “virtuous war,” the article argues that AI has made the battlefield more legible without making it more decisive, thinning the fog of war while leaving the underlying frictions of logistics, organisation, and political will largely intact. It concludes that the war’s deepest lesson is not technological but structural, that the states best positioned for future conflict will be those that master not the algorithm, but the organisation built around it, a finding with significant implications for the unresolved governance of autonomous weapons and the growing privatisation of military AI.