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War by Algorithm

39 0
25.05.2026

There is a moment in the long, unglamorous history of weapons development when a technology stops being a tool and starts being a doctrine. The machine gun began as a curiosity, then became a tactical instrument, then remade the entire architecture of European civilisation — burying a generation in Flanders mud. The atomic bomb was sold as a way to end one war. Within a decade, it had restructured global politics entirely, producing a permanent condition of mutual dread that we still inhabit today.

We are at that inflection point again. This time, the technology is artificial intelligence, and it is already deployed on real battlefields, identifying real targets, accelerating real decisions about who lives and who dies. The question is no longer whether AI will transform warfare. It already has. The question — the urgent, uncomfortable one that democratic societies are conspicuously failing to ask — is what kind of war we are choosing to wage, and whether we ever actually chose it at all.

Project Maven, the Pentagon's flagship AI targeting programme, was not born from a grand strategic vision. It emerged from a specific, practical frustration: the U.S. military was drowning in drone footage it could not process. Analysts stared at screens for hours, exhausted and error-prone, watching hours of surveillance video and flagging maybe a fraction of what mattered. Maven's original proposition was modest — let computer vision handle the sorting, free the humans for judgement. Track motorcycles. Flag patterns. Save the analyst's eyes for what counts.

That is a reasonable argument. It is also, historically, how every incremental weapons revolution begins: with a limited use case and a sensible justification.

The numbers, however, have a way of growing. By last year, the National Geospatial-Intelligence Agency was boasting that AI-assisted targeting could process a hundred........

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