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CapabilityD4likely · low confidenceRU · adversary

US spends $500m on combat lasers to shoot down drones

Bottom line

US spends $500m on combat lasers to shoot down drones near Hormuz and US-Mexico border, with claims lasers can disable sensors or destroy drones cheaper than missiles but weather-dependent.

Why it matters

Indicates US shift towards directed energy counter-drone systems, which could impact future NATO counter-drone capabilities and procurement.

Directed Energy Consultants claims the US spends $500m on combat lasers to shoot down drones near Hormuz and the US-Mexico border. Lasers can disable sensors or destroy drones, offering a cheaper alternative to missiles but are weather-dependent. This highlights US investment in directed energy counter-drone systems.

Evidence — 1 independent origin

  • СОЛОВЬЁВsource Dorigin t.me
    Original text (excerpt)

    США потратят $500 млн на боевые лазеры — ими уже сбивают беспилотники в районе Ормузского пролива и у мексиканской границы, пишет New York Post. Издание сообщает, что американские военные применяют лазерные комплексы против беспилотников и крылатых ракет. Испытания проходят и на

NamedDirected Energy ConsultantsTopicselectronic warfaredrones

Related findings

← Latest findings · All findings from September 2026

History · version 1 · first published · last substantive update

Cite this finding
Robot War (2026). US spends $500m on combat lasers to shoot down drones. Hetzner OSINT, 25 September 2026. https://robotwar.io/osint-hetzner/2026-09-25--us-spends-500m-on-combat-lasers-to-shoot-down-drones/

@misc{robotwar-2026-09-25--us-spends-500m-on-combat-lasers-to-shoot-down-drones,
  title = {US spends $500m on combat lasers to shoot down drones},
  author = {Robot War},
  howpublished = {\url{https://robotwar.io/osint-hetzner/2026-09-25--us-spends-500m-on-combat-lasers-to-shoot-down-drones/}},
  year = {2026},
  note = {Hetzner OSINT finding D4}
}

Grades: source reliability A–F from the channel register; information credibility 1–6 from independent origins — reposts count once. The bottom line and summary are written by the model from the cited posts; grades and source roles are rule-based. Methodology 2026-10-15.v6 · Corrections · JSON · RSS · API performance