NATO's AI-assisted drone network: machines fly, humans decide who to strike

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NATO plans to fortify its eastern edge using drones, sensors and artificial intelligence in a massive network designed to spot and help repel a potential Russian attack.

Western officials say the alliance is exploring AI-assisted drone operations as part of the broad effort to bolster its defenses. The aim, however, isn’t full autonomy; instead, machines could help to pilot the drones while human operators make the call on what they strike.

The approach echoes what Ukraine is already doing. The embattled country is increasingly incorporating AI into its drone operations, but both soldiers and defense tech firms have repeatedly emphasized that humans must remain at the center of the fight, even as the war becomes more robotic.

For NATO, AI-assisted drones would be part of the Eastern Flank Deterrence Initiative — a digital battlespace network the alliance is building to track threats along its borders with Russia and Belarus, which stretch from northern Finland to the Black Sea.

The new concept includes thousands of drones, sensors and satellites linked with AI to detect potential breaches of allied territory and repel attacks as the first line of defense. Conventional military forces, such as tanks, fighter jets and artillery, will remain the backbone.

U.S. Army Maj. Ben Schiff, a software operations officer, told Bild — which, like Business Insider and POLITICO, is part of the Axel Springer Global Reporters Network — that both Ukraine and Russia still rely on humans to control drones.

While some systems have AI or machine-learning capabilities that allow brief moments of autonomy in flight, piloting is primarily performed by operators on the ground. Schiff said that “the most boring parts of flying”— drones loitering above the battlefield looking for targets — should be automated. But when it comes to deciding what the drone should strike, that’s where a human comes into play.

“So the humans are deciding what the drone does, but they don’t necessarily need to take the action of flying it because we don’t have a million pilots. We can’t fly a million drones at the same time,” said Schiff at the U.S. Army Europe and Africa headquarters in Wiesbaden, Germany.

Schiff is a product manager for the EFDI Data Backbone, a developing framework designed to help NATO forces detect, classify, share and act on information at speed and scale. The backbone bridges incompatible computer and command systems across multiple allied nations, allowing real-time data to flow from forward-deployed sensors all the way back to headquarters.

The goal is to help NATO move beyond today’s linear system — called a “kill chain” — where information moves from the front line back to a decision-maker and then back again to the battlefront to a “kill web,” where data from sensors can be rapidly passed to weapons systems and operators.

“The value of a drone, sensor or other capability is not determined solely by its individual performance,” said Maj. Matt Blubaugh, a spokesperson for U.S. Army Europe and Africa . “Its effectiveness depends on how well it integrates into the broader operational ecosystem.”

Learning from Ukraine

Ukraine is already pioneering the integration of AI into military operations.

Soldiers observe a drone in the Dnipropetrovsk region of Ukraine on June 14, 2025. | Florent Vergnes/AFP via Getty Images

On the battlefield, Ukraine has made significant progress in using AI to support functions like decision-making, drone navigation, terminal guidance and precision, said Andrii Hrytseniuk, the CEO of the Ukrainian state-backed innovation platform Brave1.

This spring, Hrytseniuk told Business Insider in Kyiv that more than 200 local companies were developing AI-based components for drones, missiles, radars and other systems. However, they insist machines won’t control drones from start to finish.

Wild Hornets, the manufacturer of the popular Sting interceptor drone, also told Business Insider in May that AI will be gradually integrated at almost every stage of flight operations — target detection, identification and, later, terminal guidance.

A spokesperson for the company said humans will still make the final decision on what to strike. Since Russia is constantly changing its tactics, interceptor operators must keep tabs on these changes and make necessary adjustments, they said.

As autonomous systems become more common on the battlefield in Ukraine, commanders also told Business Insider that humans need to remain in the loop.

Grek, the call sign of a company commander overseeing robots with Ukraine’s 21st Unmanned Systems “Kraken” Regiment, said the goal is to “allow people to focus on the tasks where human judgment has the greatest value.”

U.S. Army officers stressed that NATO is using the operational environment in Ukraine to inform military planning for a potential future confrontation.

“We’re not copying Ukraine,” said Capt. Ronan Sefton. “We’re learning from Ukraine.”

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