Yep, the whole point of this new 'AI' paradigm is to eliminate dependence on network updates.
Reports have been claiming since 2016 that China was 'developing' them. But I bet work on this started in China well before then, as a response to the 'network centric warfare' the Americans introduced in 1991. Here's a couple of articles I just found (linked below.) I wish I had access to journals, I've actually been looking for serious literature on this but it's very hard to find on open source. Praveen Sawhney has talked about this too in his videos.
One such project I know of (by name) is Lockheed's Gray Wolf. There's also other projects which have AI as a core element, like the USAF's 'Loyal Wingman.' As for Chinese projects, we know of no names or their status.
Just remember, this is all software, specifically Neural Networks. All the hardware for this already exists. You can take existing Tomahawks and upgrade them with this capability. Even I can build a rudimentary NNs in Python, you just need a massive dataset to 'train' your NN on. Once it's trained, give it a simple priority driven rule-set and you're basically done. That's the essence of it. And it's probably much easier to build than an autonomous car's NN.
I am betting this tech already exists, just like the F-117 existed before 1991. I think this tech is just waiting for its 'unveiling.'
All I'm saying is that we should keep this new paradigm in mind when we hypothesize on how a future conflict will play out. I think our current ways of thinking about warfare have already become obsolete, we just don't realize it yet... This happened many times before in military history. Planning for the 'last war' is political and institutional inertia.