The tools are already integrated into the industry. Used Photoshop lately? Premiere? Any Adobe app just about actually. Their ai is called Firefly, which for longtime Poser peeps is a little strange. Firefly rendering from Adobe anyone?

No, not Substance. That's not a free use tool. Try this: https://cpetry.github.io/NormalMap-Online/ It's about as simple as it gets.

Up until SDXL "training" was done on 512x512 pixel images. Now it is 1024x1024. Yes, there are caveats to this like any other thing in life. That makes output perfect for UV maps as they expect a square aspect ratio to fill UV space. Clapboard buildings, wooden furniture, stone walls, brick fascia, that type of thing. I would not bother doing skin patches that way as skin is not universal across the object or figure but any other "regularized" surface easily accepts this method. Depending upon the generative tool you use, seamless tiles are as simple as pressing a radio button for seamless output. You do not have to use 4 way seamless. You can do 2 way to vertically or horizontally tile an output.

There is a sea change underway in the industry. There has been for a while. Longer than last Aug when the generative ai "leaks" to the masses happened. Like the death of AM radio and celluloid film; things are moving along. Many will feel that time has passed them by and their methods of expression will be depreciated like the 8-track tape. We see it with people who say they cannot render in Cycles, iRay, Superfly or what have you. That those methods produce inferior output in comparison to the engines they used to use. That the methods involved are too difficult or they cannot do it on their 15 year old core2 duo machine running WinXP. They will continue to use the tools they know to produce the results they expect and enjoy. There is nothing that requires them to change their personal workflow for their particular style or aesthetic.

If they are in a large house or "pro" environment then they had better get with the program. The knowledge requirements are constantly in flux. The bar for entry is considerably higher as more robust knowledge, including the ability to train custom data sets for character and environmental output specific to the property you are currently involved in.