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Radio-frequency control links inevitably break when drones fly long distances or dive below the canopy into heavy jamming environments. Successful strike drones require onboard edge compute running target-recognition models so pilots can designate targets outside electronic warfare bubbles and allow the drone to finish the attack independently.

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Even the simplest form of drone AI—terminal guidance, where the AI takes over for the final 500 meters—had a massive impact. One pilot's precision mission success rate more than tripled, and his effective 'kill zone' expanded from 3km to 10km, demonstrating AI's immediate battlefield value.

The universal jamming of GPS in conflict zones like Ukraine has rendered modern, GPS-reliant drones ineffective. This has reset the baseline level of drone autonomy to what it was two decades ago, creating an urgent need for alternative navigation systems that can operate without satellite signals.

Tenet Industries' CEO asserts that "last mile" targeting for drones is a solved problem from the 1960s. The real innovation and demand lie in enabling drones to navigate autonomously for 20+ kilometers in GPS-jammed environments, a much harder and more critical problem to solve.

The intense signal jamming by Russia in Ukraine makes remotely piloted drones ineffective in the final phase of an attack. This has created a tactical necessity for drones that can autonomously complete their mission after losing their data link, accelerating the development of practical, on-board AI for target engagement.

Inspired by self-driving cars, a framework for drone autonomy has emerged: L1 (Terminal Guidance), L2 (Bombing), L3 (Target Detection/Engagement), L4 (Navigation), and L5 (Takeoff/Landing). This provides a clear roadmap for developing and classifying autonomous capabilities on the battlefield.

While on-device AI for consumer gadgets is hyped, its most impactful application is in B2B robotics. Deploying AI models on drones for safety, defense, or industrial tasks where network connectivity is unreliable unlocks far more value. The focus should be on robotics and enterprise portability, not just consumer privacy.

Ukraine is pioneering 'last mile autonomy' not as a strategic push for automation, but as a tactical necessity. When Russia jams the data link to a drone, the system can autonomously complete the final leg of its attack on a pre-identified target, countering electronic warfare.

A significant tactical evolution in the Ukraine war is the use of drones controlled by fiber-optic wires up to 60 kilometers long. This makes them immune to the radio-frequency jamming that disables conventional drones, creating a new layer of complexity and littering the battlefield with webs of optical filament.

Drones like the Hornet (sub-$5k) use AI to automatically identify targets. This allows Ukraine to send swarms of cheap drones for operational-level strikes, achieving results that previously required expensive missiles. This fundamentally changes the cost-benefit analysis of deep attacks and attritional warfare.

The war in Ukraine has evolved from a traditional territorial conflict into a "robot war," with drones dominating the front lines. This real-world battlefield is accelerating innovation at an "unbelievable" pace, driving new solutions for secure communications and autonomous targeting, providing critical lessons for US drone strategy.