The First AI War: The End Of Hiding, And The Rise Of Wars Of Systems And Algorithms

The Editorial Board

In the first months of 2026, two events occurred that may, in time, be recognised as a turning point in the history of warfare. In January, a sitting head of state, Venezuela’s President Nicolás Maduro, was captured in a precision operation and removed from his country without a conventional war. Within weeks, during the United States–Israel conflict with Iran, Iran’s Supreme Leader Ayatollah Ali Khamenei and key members of the senior leadership were eliminated in a targeted strike that lasted minutes.

There is no real parallel in modern history where, within such a short span of time, a head of state was captured and the supreme leader of another nation was killed in precision operations linked to the same conflict environment.

These were not traditional wars of mass armies crossing borders. They were operations made possible by intelligence, surveillance, precision strike, and increasingly, artificial intelligence. For this reason, the recent conflict may well be remembered as the first major AI war.

Palantir's Maven Smart System—commonly known simply as Maven—served as the linchpin of Operation Fury. Within the initial 24 hours, it enabled the detection and neutralization of more than 1,000 targets and 2,000 targets within four days. Palantir CTO Shyam Sankar noted that mission planning unfolded in mere fractions of traditional timelines, enabling a surge in daily strikes. Outpacing human cognition, the system rapidly screened, prioritized, and cleared targets. According to the Soufan Security Group, Maven fused disparate data streams from diverse sources into precise, operational intelligence.

Anthropic's Claude AI complemented these efforts by excelling in pattern detection, scenario modeling, strike sequencing, tactical recommendations, and overall battlefield orchestration. It functioned as the operation's “software brain”—a virtual mission command center that accelerated intelligence processing, target generation, and the full "kill chain," from initial detection to decisive engagement.

This month, OpenAI committed to integrating its AI platforms onto the Pentagon's secure classified networks. Google inked an agreement to deploy its AI "Agents" within the U.S. Department of Defense. Meanwhile, the U.S. Army recently granted Anduril, a cutting-edge defense technology firm, a contract for AI-driven software deployable across military infrastructure. Palantir CEO, Alex Karp in an interview to CNBC had observed: “ Our adversaries and enemies are witnessing our ability to fight that they don’t have, and they will find it very hard to acquire.”

Such development also reaffirms a warning from history when Leon Trotsky said that: “You may not be interested in war, but war is interested in you.”

Artificial intelligence did not replace soldiers. It did something more important. It reduced uncertainty.

For most of human history, survival in war depended on the ability to hide. Armies hid behind terrain. Fleets disappeared into oceans. Aircraft vanished into the sky. Leadership operated from secure locations far from the battlefield. Distance and secrecy were forms of protection because information was limited and slow.

Artificial intelligence is changing that equation. Satellites now provide continuous imagery. Drones provide persistent surveillance. Communications generate electronic signatures. Human presence generates heat signatures. Radar satellites can see through cloud and darkness. All this produces enormous amounts of data — far more than human beings can analyse. Artificial intelligence can analyse it, identify patterns, detect anomalies, and connect fragments into a coherent picture.

The result is a simple but deeply unsettling reality: in the age of artificial intelligence, there is no hiding.

War is therefore changing from a contest of firepower to a contest of visibility and information. The side that can see more, understand faster, and act quicker gains a decisive advantage.

Nearly two centuries ago, Carl von Clausewitz wrote that “War is the continuation of politics by other means.” The means are now changing. War is increasingly conducted through satellites, cyber systems, networks, and algorithms that determine who can see and who can strike.

Artificial intelligence is changing warfare in another equally important way. It is changing the economics of war.

For most of modern history, military power depended on expensive platforms — tanks, aircraft, ships, and missiles costing millions or billions of dollars. Artificial intelligence is now enabling drones that cost a few hundred or a few thousand dollars to locate and destroy systems worth millions. A cheap drone can destroy a tank. A loitering munition can destroy artillery or radar. Swarms of drones can overwhelm air defence systems.

This creates a new equation in warfare: cheap precision versus expensive platforms. When precision becomes cheap, expensive military systems become vulnerable. The cost structure of warfare begins to change, and with it, the balance of power.

But the deepest change is not only technological or economic. It is structural. Modern warfare is increasingly becoming a war of systems.

In earlier wars, victory often depended on destroying armies in the field. Today, the real targets are often systems: air defence systems, radar systems, communication systems, command-and-control systems, satellite links, cyber networks, logistics systems, and leadership systems. Once these are paralysed, the army may still exist physically, but it becomes blind, disconnected, and ineffective.

Beneath the war of systems lies something even more fundamental — a war of algorithms.

Algorithms now process satellite imagery, classify objects, identify suspicious movement, detect targets, fuse intelligence from multiple sources, prioritise threats, and compress the time between detection and strike. The side with better algorithms sees patterns earlier, understands the battlefield faster, and acts sooner. Warfare begins to move at machine-assisted speed.

Nearly a century ago, the air power theorist Giulio Douhet warned that “Victory smiles upon those who anticipate the changes in the character of war.” The character of war is changing again — from industrial warfare to informational warfare, from informational warfare to systems warfare, and now to algorithmic warfare.

For countries like India, the implications are profound. India’s security has traditionally been measured in terms of borders, armies, and conventional military balance. These remain important. But future wars may begin not with tanks crossing borders, but with satellites being disrupted, networks being jammed, drones appearing over critical installations, and precision strikes disabling command systems. By the time large formations move, the decisive phase of the war may already be underway.

The most important lesson of recent events, therefore, is not merely that two leaders fell in unprecedented fashion. It is that war itself is changing form. It is becoming harder to hide, cheaper to strike, easier to paralyse systems, and faster to decide outcomes through algorithms.

The wars of the future may still involve soldiers and machines. But beneath them, they will increasingly be wars of systems and wars of algorithms.

And that may prove to be the most consequential military shift of our time: the moment when warfare moved from the battlefield to the network, and from the network to the algorithm.