It's not saving time or creating efficiency for everyone equally. It's absolutely democratizing some complex tasks. I'll stick to software here, where AI enhances the abilities of non-programmers to give them a taste of what programmers have been doing for decades.

But does it enhance the end product? Does it improve upon the work of already competent developers? Does it actually solve the real problems that software engineers face? Highly debatable. It certainly makes cranking out code more "efficient" - but anyone who's every created software knows that cranking out lines of code is a terrible metric for success. Poor quality code has less than zero value, it's a liability. As the prevalence of bot-generated code goes up, it will place an increasingly high burden on actual professionals to clean up the mess.

More people can now cobble barely functioning python scripts together and shoot themselves in the foot when it does something they don't understand :>

Do you know any real professional software developers who actually use these modeling tools of their own volition and not because some manager fell for a golf-and-steak-dinner sales pitch from the vendor?

My experience with every one of them is that getting the model to the point where it will generate something useful is more work than just writing the useful part myself.