Ukraine says America’s off-the-shelf drones could become obsolete fast as battlefield innovation races ahead of military procurement | Daily Reports Online
- Ukraine says modified drones outperform standard systems in combat.
- AI-assisted drones are reaching targets hundreds of kilometers away.
- Electronic warfare forces constant changes to drone communications systems.
Ukraine’s expanding drone campaign against Russian supply networks is offering new lessons about modern warfare, particularly regarding the limits of commercially supplied unmanned systems.
A Ukrainian expert involved in the country’s mid-range drone operations argues that drones purchased in standard configurations cannot remain effective for long.
His warning comes as Ukrainian forces increasingly rely on modified unmanned aircraft to attack logistics routes deep behind Russian-controlled territory.
Modified drones are striking logistics far behind the front
According to the officer from the First Corps Azov, Ukraine’s campaign focuses on disrupting fuel deliveries, cargo transportation, and railway movements supporting Russian military operations.
Rather than relying on expensive long-range weapons, Ukrainian units have adapted relatively affordable fixed-wing drone systems for missions extending far beyond their original capabilities.
These modified drones can now reach distances of up to 250 kilometers after receiving communication and propulsion modifications.
The campaign concentrates on supply routes where large quantities of military cargo move through areas that remain difficult to protect.
As distance from the front increases, logistics networks become more concentrated while defensive coverage becomes increasingly challenging to maintain.
The officer explained that Ukrainian units assign specific roads and transportation corridors to different formations, allowing continuous surveillance and strike operations against moving supplies.
Artificial intelligence also plays an important role during missions, particularly during the final stages of flight and target identification.
The officer claims that AI systems assist operators by recognizing potential objectives and supporting autonomous navigation.
However, he emphasized that human operators typically retain authority over final strike decisions.
“Our policy is that the decision should be made exclusively by the operator,” he said.
Russian forces have already begun responding with defensive measures, including anti-drone nets, armed observation posts, and efforts to disguise vehicles from AI-assisted recognition systems.
Nevertheless, the officer claimed existing countermeasures have not yet fully addressed the challenges posed by the ongoing campaign.
Adaptation is becoming more important than standard equipment
Beyond battlefield operations, the officer offered a broader assessment of how military organizations should approach unmanned systems.
He argued that drone technology evolves so rapidly that equipment purchased in standard configurations quickly loses effectiveness against electronic warfare systems and changing battlefield conditions.
Electronic warfare remains one obstacle among many facing drone operators, though the officer suggested it represents only a portion of overall counter-drone efforts.
Navigation methods, communication links, frequencies, and software capabilities often require frequent adjustments as adversaries develop new responses.
Assets that function effectively one month may require significant changes shortly afterward.
As a result, he argued that military formations should maintain dedicated facilities capable of modifying and adapting drones continuously.
“Every unit should have their own drone laboratory that can reconfigure those drones and modify them,” he said.
Such facilities would allow operators to adjust aircraft, communications systems, and mission profiles as battlefield requirements change.
The officer also suggested that simply supplying units with ready-made drones may not produce the most effective outcomes.
In his view, organizational structures supporting rapid experimentation and modification are becoming increasingly important as unmanned systems evolve.
Via TWZ
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