The 28 February 2026 US-Israel operation against Iran may ultimately be remembered less for its immediate tactical effects and more for what it revealed about the transformation of warfare itself. Beyond the geopolitical shockwaves, the strikes marked a visible inflection point: artificial intelligence was not merely assisting analysts behind the scenes, it was embedded across intelligence fusion, operational planning, and targeting workflows.

For the first time in a major interstate confrontation in West Asia, AI functioned as an integrated cognitive layer in the battlespace. The result is not simply digitized war, but what can now be described as algorithmic warfare, where military advantage increasingly hinges on computational speed, predictive analytics, and data fusion rather than traditional measures of force alone.

For more than a decade, the U.S. military has developed AI capabilities under programs such as Project Maven, initially designed to process drone imagery in counterterrorism operations. But the February strikes represented a qualitative escalation in scope and scale.

Verified reporting from major outlets confirmed that AI tools developed by Anthropic, particularly its Claude model, were used in support roles during the operation. These systems reportedly assisted intelligence processing, target prioritization, and scenario modeling for commanders.

Crucially, updated reporting now emphasizes that the strike targeting relied on months of intelligence collection, combining human sources, surveillance systems, signals intelligence, and analytic platforms. There is no verified evidence that a single mobile phone signal triggered the attack.........

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