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AI Ready Roundtable

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Jeff's Daily Dose: It's just human nature
One of our Roundtable members, CEO of a 150-person company, got blindsided. He'd rolled out AI tools companywide. Same training. Same resources. Same deadline. 3 months later? 20% of his team was crushing it. 60% was fumbling along. And 20% hadn't logged in even once. He thought he had a training problem. He didn't. He had a "human" problem. Clayton Christensen's infamous "Adoption Curve" (5 types of people: innovators, early adopters, early majority, late majority, laggards) doesn't just apply to customers buying products. It applies to your employees adopting AI, too. See the bellcurve pix below. Not because they're tech people or non-tech people. Because they're people. This is how humans adopt anything new... from the printing press to cars to smartphones to AI to that weird standing desk trend from 2015. So stop treating your AI rollout like everyone will magically get on board at the same pace. They won't. 👍🏼 Find Your Early Adopters These folks are gold. They're the ones already experimenting with Claude & Gemini on their own time. They're sending you articles about AI. They're asking "what if we tried..." in meetings. Don't wait for them to raise their hands. How to find these 16% of your people? > Ask your managers: "Who on your team is already tinkering with AI tools?" > Look for the people who get excited when things break... because it means they get to figure something out. Then harness their energy. Appoint them your AI Champions. Give them permission to experiment. Have them train their peers. Nothing spreads adoption faster than a trusted colleague saying "let me show you something cool." 👎🏼 Face The Uncomfortable Truth About Laggards Some of your people will be late. That's fine... the late majority just needs more proof & hand-holding. Budget extra time for them. But some people will never get there: "The Resisters" I'm not being harsh. I'm being realistic. A percentage of your team will resist AI no matter what you do. They'll find reasons. They'll create workarounds. They'll slow everyone else down.
Jeff's Daily Dose: It's just human nature
3 likes • 16d
As stated, this wasn’t an AI failure, and it definitely wasn’t a training miss. It was a change design failure. The adoption curve is not a theory you reference after the fact. It is a constraint you must design for up front. People do not adopt at the same pace because they are not incentivized, threatened, or energized in the same way. If 20% of your team is thriving, 60% is struggling, and 20% hasn’t started, asking for more training is the wrong instinct. The right questions are harder and more uncomfortable. Who sees immediate upside? Who feels exposed first? And who has nothing to gain by changing at all? People don’t resist change. They resist loss. Loss of competence. Loss of relevance. Loss of identity. Loss of psychological saftey. High-caliber leaders don’t lead change from the middle. They over-invest in early adopters, turn them into visible proof, and let social gravity do the heavy lifting. They don’t chase consensus. They create momentum. Old workflows quietly disappear. New behaviors become the default. Progress becomes observable and irreversible. And for the small group that still won’t move? Endless accommodation is not empathy. It’s organizational drag. Clear expectations, clear paths forward, and adult choices are what real leadership looks like. Not everyone makes the journey. That’s not cruelty. That’s reality. Transformation doesn’t fail because people don’t believe in it. It fails because leaders don’t design change for how humans actually move.
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Pat Ferdig
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2points to level up
@pat-ferdig-2982
I am a transformative and proactive Global CS/CX Executive with bias towards action and passion for building customer-centric organizations.

Active 16d ago
Joined Jan 15, 2026
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