US-made AI Hornet drones paralyze Russian logistics on Pokrovsk front
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U.S.-made Hornet drones are being hailed as a genuine gamechanger on the front line, enabling Ukrainian forces to initiate a massive "logistics lockdown" — a coordinated campaign to systematically destroy Russian supply lines, isolate Crimea, and sever the land corridor to the peninsula.
While Ukrainian Defense Forces have long utilized various "middle-strike" drones to target the enemy's near rear, commanders admit that the introduction of the Hornet has increased the frequency of successful strikes not just incrementally, but in some areas tenfold.
NV journalist Serhii Okunev spent several days with one of the most successful Hornet crews in the Defense Forces — operators from the Omega Special Forces Detachment — to understand exactly why this drone is rewriting the rules of modern attrition.
In a high-intensity war where daily expenditures on both sides run into hundreds of millions of dollars along an active front line exceeding 1,000 km, it seems unusual to credit a handful of operators with shifting the dynamic of an entire sector. Yet, a drone crew within the 1st Separate Special Forces Detachment "Omega" is demonstrating an operational efficiency that earlier eluded entire battalions of unmanned systems.
Omega Special Operations Center functions similarly to a brigade, with its "detachments" acting as highly specialized battalions. The 1st Detachment — unofficially dubbed the "Kyiv" detachment due to its historical home base — is now deployed to the Pokrovsk axis. According to official General Staff reports, this sector continues to see the highest intensity of combat on the entire front. On this grueling line, two young operators going by the call signs Malina and Ziat are using the Hornet to systematically dismantle Russian supply lines.
"At first, there wasn't any immediate awe," says Ziat.
"We treated it like just another piece of kit that needed to be tested in the field. But our attitude started changing during training. We realized how capable this system was. Once we deployed to active combat zones and began launching the Hornet directly at the enemy, it became immediately clear: we were looking at entirely different performance metrics and a new level of efficiency."
These assessments are backed by hard data. In April 2026, while the crew was still refining its workflow, Omega secured first place among all units in the Ukrainian Armed Forces for the number of successful targets hit at a distance of 50+ km behind the front line. A massive portion of those successful strikes is credited to the Ziat and Malina crew.
"There were days when we worked almost non-stop for 24 hours," Malina recalled.
According to Chicago, this explosive performance boost is driven by several key factors. First is the platform itself: the Hornet utilizes built-in artificial intelligence to handle target detection, terminal guidance, and impact in fully automated modes. Second is mass availability and cost. While domestic Ukrainian counterparts of equivalent range can cost up to 10 times more and arrive at the front in single-digit quantities, the Hornet is being produced in massive quantities. Operating a middle-strike drone unit in 2026 is a highly hazardous assignment. While the Hornet can cover distances up to 150 km — allowing launch teams to position themselves further back from the zero line — the "kill zone" along the front has expanded so drastically that no position within dozens of kilometers of the active combat zone is truly safe.
En route to their launch site, the crew closely monitors the skies using tactical awareness apps and electronic detection devices like Chuyka, which detects nearby enemy reconnaissance drones and can even intercept their video feeds.
The Hornet bypasses electronic warfare blockades along the zero line with relative ease, utilizing automated flight paths. Leveraging hundreds of successful missions, the operators know exactly what altitudes and speeds to utilize to evade Russian air defenses, which are actively hunting the platforms.
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