AI will make smart people genius and average people smart — but on the floor that means something more specific, and better, than “everyone rises a level.”
It relocates the gap — from credentials to adoption.
I have a supervisor with no college degree who now builds month-end executive KPI decks I’d be proud to present myself — work that used to require my MBA. AI erased the old dividing line (the degree) and drew a new one: not what’s on your résumé, only whether you picked up the tool. His peers had the same chance. The ones who took it leapt; the ones who didn’t are now behind someone they used to outrank on paper.
The lift was real, not rented.
Here’s the proof it wasn’t just the AI doing his job: the next month he did it unprompted, and nailed it. That’s not dependency. That’s growth.
And I know why it was growth.
I gave him one rule: he couldn’t publish the data or the deck until he reviewed and understood it. AI generated the draft; he had to own it. That comprehension is the line between AI making someone genuinely smarter and AI making them dependent — and eventually confidently wrong.
So what, now what.
So what: AI doesn’t lift everyone equally; it rewards whoever adopts — and it produces real growth only when you require understanding. Now what: hand someone a real task with AI and one rule — you can’t publish what you don’t understand. Then watch who rises.
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