It is an interesting take. I teach programming to designers as a part of a course called "Emerging technologies". Although, it is fun to see what students create, but it is not fun to solve doubts. When you are teaching basics, the students would quickly fire up ChatGPT and make some slop up. In the end, I have to fix their codes. I think, the learning output is reduced as they have not written any code. I am genuinely concerned as an educator. One thing that is missing is differentiating AI output and understanding what to keep and what to ignore. The sheer "aesthetic" of it. I feel, many do not take time to develop this very "human" skill and become very output oriented from the very start. This, IMO, affects learning. These tools are also quite addictive due to the sense of 'manufactured' certainty they offer, which is something that hinders learning. What is the point of learning how to add when you have the cheatsheet next to you?