The opposite is fairly naive. Software development is not only dumping tokens into a text file. To have a significant impact on the market, it should do much, much, much more: compile and test code, automatically assess the quality of what its done, be aware of the current design trends (if in UI/UX), ideally innovate, it should also be able to run a debugger, inspect all the variables, and deduce from there how it got something wrong, sometimes with tiny clues that I don't even know how it would get its information (e.g. in graphics programming where you have to actually see at a high frame rate). Oh snap a library is broken ? The AI needs to search online why it's broken, then find a fix (log onto a website to communicate with support, install a missing dep...). It can't be fixed ? Then the AI needs to explain this to the manager, good luck for that. It would need to think and feel like a human, otherwise producing uncanny content that will be either boring, either creepy.

You can think about your daily job and break down all the tasks, and you'll quickly realize that replacing all this is just a monstrous task.