drone and missile guidance system development has been using ML for decades at this point. That's just as much "AI" as anything currently coming out of the LLM craze.
Like a lot of AI boosters, would you like to explain how that works other than magic AI dust? Some forms of optical guidance are already in use, but there's other limitations (lighting! weather!)
1) Have a camera on your drone
2) Run some frames through a locally running version of something like AWS Rekognition's celebrity identification service but for relevant military targets.
3) Navigate towards coordinates of target individuals
I think jamming resistance is a red herring. AI weapons will have their own failure modes due to jamming. Any sensor modality will have its own particular weakness. Also reasoning model malfunctions as well i.e. hallucinations.
What about AI enabled drones and guided missiles/rockets? The case for their effectiveness is relatively simple in terms of jamming resistance.