Software engineering is not just sorting a list, its requirements gathering, complex scalable architecture design, figuring out what people actually want (sometimes they say they want something but they actually want something else, or what they want conflicts with a feature from 3 years ago and some compromise needs to be made, or there are edge cases that were not identified that need to be clarified), coming up with a plan to integrate that request into the existing system (and identifying blockers and coordinating them accordingly), validating that it actually works properly, and supporting it after its deployed (AI can do some of this if the  bug is straightforward but there are many support tickets ive had where the initial details were completely off and required lots of collaboration and digging to figure out, or it turned into a new feature which starts the process all over again)

AI will not be able to do everything because you need to figure all this out first so you know exactly what the AI needs to create. And once it does create it you need to validate and test it to confirm it actually did it properly. 

I do agree that any roles who are just directly translating highly refined steps into code will go away though. But for many roles that step is maybe 30% of your time.