Anecdote here, but when I was in grad school, I was talking to a PhD student i respected a lot. Whenever he read a paper, he would try to write the code out and get it working. I would take a couple of months but he could whip it up in a few days. He explained to me that it was just practice and the more you practice the better you become. He not only coded things quickly, he started analyzing papers quicker too and…
We are literally witnessing the skills split right in front of our eyes: (1) people who are able to understand the concepts deeply, build a mental model of it and implement them in code at any level, and (2) people who outsource it to a machine and slowly, slowly lose that capability. For now the difference between these two populations is not that pronounced yet but give it a couple of years.
What I'm seeing is most of this group never really had the capability in the first place. These are the formerly unproductive slackers who now churn out GenAI slop with their name on it at an alarming rate.