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✨ What if it’s not about generation or age at all?
Walk into any organization right now and you'll see it: two distinct responses to AI tools.
One group is quietly experimenting, asking questions, comfortable with imperfect answers.
The other is waiting for someone to tell them exactly what to do.
Everyone's attributing these differences to a “generational divide”: millennials embrace AI, boomers resist it. But that's lazy analysis, in my humble opinion.
When Microsoft shifted from "know-it-all" to "learn-it-all" culture in 2015, everyone assumed it was a generational battle.
The young pushing for change. The old resisting it.
But that's not what I saw.
I watched 24-year-olds who needed extensive training before touching new tools. I saw 55-year-olds who jumped into beta programs without hesitation and leaned-in, driving learning sessions about navigating managerial success across diverse teams as growth mindset culture was being established. The divide wasn't about age.
It was about how people process uncertainty and new paradigms shaping themselves in real time.
The same pattern is playing out with AI adoption right now. And we're making the same mistake, assuming generation determines approach.
It doesn't.
💡 The Underlying Divide
After coaching over 50 professionals through AI adoption, witnessing teams navigate this shift, and both mentoring and reverse-mentoring leaders across all 4-generations in the past couple months alone, here's what determines how someone approaches AI in reality: