This really depends on the project. For example, if you’re creating a CRUD web app for managing some kind of data, the main tough decisions involve system and data architecture. After that, most other work is straight forward menial work. It doesn’t take a genius to validate a gajillion text fields for a specific min and max length, map them to the correct field in the API, validate on the server again, and write them to the correct database field.

I agree that AI might screw companies over in the long run, when there’s no more juniors that can become seniors. That doesn’t apply to this case at all.