"Give me a poster for my band playing a gig"
Versus
"Give me a poster for my band playing a gig, it should have x y and z. Use a x' artistic style and include elements of y'. The layout should be z'..."
You ask for the default, you get the default.
AI might be able to help someone with vision who lacks proficiency with the tools, but I suspect that's a small minority of people.
AI can help with the execution, and for an amateur, this is important. But for real pros, the ones who actually know the appropriate style and what the layout should be, they usually have the execution nailed down. Prompting will likely drag them down, if they use AI, it is more likely to be in the form of "augmenter" tools: upscaling, content-aware fill, etc...
Again, same idea with code. Programming languages are only an issue for inexperienced coders, for those who really know what they are doing, it is usually second nature, and they may be better served writing the code themselves than trying to get a LLM to do it. Again, AI has its use: completion, analysis, etc...
That's also the reason why I believe that so many people are missing the point with generative AI taking jobs. Because they are not in the field, they only see the execution, image editing software, DAWs and programming languages look arcane, they think it is what takes the most skills, and that if you can get over it using AI, you can do just as well. The truth is that it is not the case, not by a long shot, execution is just the first step.
It is a problem for juniors however. Juniors are at the first step, they have the execution but not much more, they need to grow real skills, but how will they grow these skills if no one want them because they are at the level where AI can do most of their job.