I agree with the notion it's an age thing, but not because I am old, but because the tools are different. When I was learning to program as a kid I blindly 'copied and pasted' from computer magazine. I typed everything in, not understanding what I was doing, and made mistakes. Then came the tedious problem of figuring why the code didn't work. What was the syntax error? Why was it wrong? Why did the computer crash when I poked the wrong memory address?
I learned to debug and built comprehension by typing it in, and built it as a practice. Later in life and career I learned the value of transcription rather than copying and pasting because it at the very least forced me to read and write what I was copying, and built the base and familiarity I needed to learn from what I was copying.
That extends to how I use AI today. I use AI tooling to explore the concept of what I am building, use spec based designs to build solid outlines, and scope individual coding sessions, so that even when I use AI to build it, I have read, edited, and managed the design, and when I run into parts that I don't consider boilerplate I treat it the same way, transcribe what was attempted to understand why it was failing, and make sure I understand what the AI is doing that I haven't done before.