This is an absolutely false equivalency. There’s no decision making, design consideration, architecture, real problem solving, etc. when doing long multiplication.
The question in my mind is if you need to become less productive to keep your thinking skills sharp. Do we need to separate the work from the "gym". We have times when we are using AI heavily to be as productive as possible. Then we have other times where we don't use it all to keep us sharp.
Is this necessary or are we being old fashion? I lean more towards this being necessary but if I grew up with AI, I might look at not using it as trying to write a web app in assembly. Yes, I learned it in college but there no reason to keep using it.
Coding will be exactly the same soon.
Let’s take text rendering. We already have words on papers and various ways to get them there. But doing the same with computer is a difficult job because of all the parameters for drawing characters and laying them to form words and lines. Once you find those parameters, you have to account for future changes so you write you code in a way that minimize that impact. And because someone else will probably do maintenance, you try to come up with good abstractions so that your solution become understandable.
If AI will solve coding, it may as well write machine code directly or be embedded as firmware, because every programming language was made for humans.