What does "learning AI skills" even mean? You're typing into a prompt box. You are not applying any skill, the model is. At best, the skill you need is discernment about _what_ to type in this magical box. But if that gets cheaper and the output of your company doesn't necessarily scale horizontally that well. Why would I need as many people as before?
Upvoting this for asking the candid question that so many commenters dance around. I can't imagine a 22-year-old confidently walking into an interview (or getting introduced to a team) and assuring everyone that they have the "harness" or "guardrails" to confidently contribute at the level of a 10x engineer.
If we apply the Gartner Hype Cycle to this disruptive technology, I do believe AI will hit a "slope of enlightenment" where an AI-assisted Analyst is properly understood in industries and can take productive roles. Conveniently, this will probably coincide with a lower interest rate where companies have funds for a talent acquisition spree/rapid growth.
With that being said, today's graduates are stuck in an awful market with a lot of charlatans selling crappy online courses and bad ideas.
I imagine the meta will be “build a micro saas product that’s marginally successful” for younger folks. It’s trivial to make a product but you learn a lot seeing what the AI does wrong.
- knowing what to prompt
- directing the model and knowing when its going off the rails
- verification
- setting up the right loops, harness, graphs around the models
economics still apply to hiring people. if all your competitors are using ai and there's market share to fight over and people still are a productivity positive vs. only ai, hiring will increase as we've seen recently with swes