Russia integrates AI into Shahed and Geran-2 UAVs for coordinated attacks
Russia reportedly plans to equip Shahed-136 and Geran-2 UAVs with artificial intelligence to enable autonomous targeting, trajectory adjustment, and coordinated swarm attacks against Ukrainian air defences. Ukrainian military sources told The Guardian that AI integration would allow multiple UAVs to communicate and cooperate in attacks while evading radar systems.
What happened
Russia's Ministry of Defence has planned to integrate artificial intelligence into Iranian Shahed-136 UAVs and the improved Geran-2 variant for deployment in Ukraine, according to Ukrainian military sources cited by The Guardian.
The AI integration would enable UAVs to make real-time autonomous decisions based on sensor data rather than relying on pre-programmed flight paths, allowing them to adjust trajectories dynamically to evade radar and Ukrainian air defence systems.
The planned enhancement includes equipping Geran-2 UAVs with optical-electronic sensors for reconnaissance and coordination capabilities, allowing multiple AI-enabled UAVs to communicate and cooperate in coordinated swarm attacks against Ukrainian air defence networks.
Reported impact
Ukrainian military sources assess the AI-enhanced UAVs would significantly increase combat effectiveness against Ukrainian air defences, presenting a major threat to civilian infrastructure and military assets.
The autonomous capabilities would allow the UAVs to operate with greater flexibility and reduced operator dependency, potentially increasing attack frequency and effectiveness.
Index analysis
The integration of autonomous decision-making systems into weaponised UAVs creates a scenario where critical targeting and engagement decisions occur without real-time human oversight, raising concerns about unintended strikes and escalation risks.
The planned swarm coordination relies on AI systems that must function reliably under combat conditions, electronic warfare, and potentially degraded environments where sensor data may be unreliable or corrupted.
Classification
Sources and evidence
This record was researched and written by the Index, based on the following original reporting.