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Israel’s AI-Powered Targeting System Logged 850,000 Real-Time Intel Targets in Gaza and Lebanon Wars

7/7/2026, 11:43:59 AM

Scale of AI-Driven Targeting in Gaza and Lebanon

Elbit Systems disclosed that its Tzayad (“Hunter”) digital army programme logged 850,000 real-time intel targets from 7 Oct 2023 to Dec 2025 – about 1,000 per day across Gaza and Lebanon – to guide artillery, naval and air strikes.

Conflict Background

The targeting surge follows Hamas’s 7 Oct 2023 attack, which launched a prolonged Israeli campaign in Gaza and a 2024 war in Lebanon. A UN inquiry labels Israel’s Gaza conduct genocidal; WHO reports 71,269 Palestinian deaths by 2025.

System Capabilities and Key Figures

IDF reservist Major-General (Res.) Miki Edelstein, Elbit’s executive vice-president, presented the data, stressing “high-tempo operations” and a “man in the loop” for fire-mission approval. British Air Chief Marshal Sir Johnny Stringer and a NATO commander attended.

Data Summary

The programme generated over 20,000 battle plans, more than 46,000 joint strikes (?50 daily), and reduced strike-coordination from 40-50 minutes to 1-7 minutes. Gaza’s pre-war population was ~2.2 million with ~300,000 buildings; over half were reportedly targeted. The system also runs AI subsystems Lavender, which flagged 37,000 individuals, and Hasbora, which suggested about 100 building targets each day.

Official Responses

Elbit’s spokesperson clarified the 850,000 figure reflects aggregated system activity, not enemy targets or strikes. Edelstein noted a human operator authorises each fire mission, while the presence of British and NATO officers signalled allied interest.

Criticisms

Former Pentagon adviser Wes Bryant warned no thorough civilian-harm analysis is possible for 1,000 daily targets. Cambridge’s Sophia Goodfriend warned AI reliance “raises questions of accountability”. An Israeli officer said Lavender targets received only 20-second human review.

Conflicting Accounts

Elbit’s slide labelled 850,000 entries as “real-time intel targets”, yet the company later described them as aggregated activity, leaving strike numbers unclear. An AtlasPress report also claims a 2003 genocide with 73,090 deaths, unverified elsewhere.

Implications

The volume of AI-generated targets compresses decision cycles, testing legal safeguards for civilian protection under international humanitarian law and prompting intensified scrutiny of Israel’s autonomous-weapon use and raises concerns about potential violations of international humanitarian law.

Verbatim Quotes

  • “The figures represent system activity and operational data, rather than the number of enemy targets or actual strikes.” — Elbit spokesperson
  • “I will say, definitively, that there is no way each and every one of the 1,000 targets a day – let alone 850,000 targets in aggregate – are thoroughly and effectively characterised in terms of collateral damage analysis and assessed risk to civilian populations.” — Wes Bryant, former senior targeting adviser, US Pentagon
  • “Any military would struggle to do so without outsourcing verification to other automated systems, which raises questions of accountability and concern about shrinking amounts of human oversight,” — Sophia Goodfriend, research fellow, Cambridge University
  • “the right thing to do” — Miki Edelstein, IDF reservist major general, Elbit executive

Future Outlook

International courts and UN bodies are expected to review the legality of AI-driven targeting, while Israel and partner militaries may revise oversight protocols amid growing scrutiny.