I'm not really sure I'm convinced by this argument, despite being one of the ones having the advantage of experience. I mean, I learned how to operate a card punch and to program a computer by flipping switches. These skills aren't really useful today. But here's the argument. "AI is different. You don't need to learn a programming language; you need to ask better questions. And asking better questions isn't a technical skill - it's a judgment skill. The leverage in AI doesn't come from typing prompts quickly; it comes from knowing what matters, what doesn't, and what consequences might follow. That's pattern recognition, and pattern recognition is built over decades. It's something AI is really good at, and it turns out those with experience are as well." Ah yes... but the core question is: does pattern recognition improve over time, or is there an inflection point? Does pattern recognition improve at an equal rate for all people? Are some things - like experiencing new things - better for pattern recognition, while others - like ossifying rumination - worse?
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