It's both. It's good to acknowledge that AI is easy to misuse in this manner but it doesn't detract from the fact that the ultimate responsibility lies in those that should be verifying the tool output.

There is far too little skepticism around the magic box that solves all problems which is causing issues like this. It's not the fault of the AI (as if it could be assigned liability) for being misused, but this kind of misuse is far too common right now so scare stories like this are helpful and we should highlight the use of AI in mistakes like this.