LLMs can make building and implementing DDD quicker but it will make understanding even more complex.
IMHO, the best place for DDD is a big ball of mud that works but an absolute pain to deal with - refactoring that using DDD is the right place for it. You have both a business and software that "works" - the software now needs improvement. As opposed to a person or team beginning with DDD from scratch because it's "better for the long run".
Yes, a person or team who understands DDD well will have an edge in the age of AI but technical competency at a company is rarely the reason for its success (or failure) in the first place - it's just a lever.
So a vibe-coded codebase?