Category: AI on the Floor
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You Can’t Publish What You Don’t Understand.
One rule has done more for AI on my team than any tool: you can’t publish what you don’t understand. It’s the fork between AI making people smarter and making them dependent.
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An AI Agent Can Only Give You the “What”
A recent industry analysis on AI and manufacturing ERP systems makes a point worth sitting with: manufacturers are pulling back on the very software investment AI depends on. Only a third of manufacturers surveyed plan to invest in operational systems this year, a sharp drop from the year before —…
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Your Team Will Use AI Exactly as Bravely as You Do.
Teams don’t adopt AI because leadership told them to. They adopt it because leadership does it — visibly, imperfectly, out loud. Model the misfire, not just the polish.
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Say the Quiet Part: “Is This Going to Cost Jobs?”
Every AI rollout has a question nobody asks in the room and everybody asks in the parking lot: is this going to cost me my job? If you don’t answer it, the rumor mill will.
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Your People Aren’t Resisting AI. They’re Tired.
When an AI rollout stalls, leaders call it resistance. Usually it’s change fatigue — the scar tissue from every “transformation” that overpromised and vanished. You don’t beat it with urgency. You beat it with one real win.
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The Most Expensive Thing in Your AI Rollout Is Silence
83% of leaders say psychological safety decides whether their AI works. Only 39% have it. Your AI problem was never the model — it’s whether it’s safe to say the AI is wrong.
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Copilots Answer. Agents Act.
Most AI still stops at ‘answer.’ Agentic adoption in factories is set to quadruple — and the difference is simple: copilots answer, agents act.
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Everybody Felt It Working. The P&L Didn’t.
64% of manufacturers said AI made them more efficient. Zero could show it in the P&L. The fix isn’t more AI — it’s naming the number the tool is supposed to move before you buy it.
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Most AI Initiatives Are Already on the Wrong Side of This List
Two AI initiatives, opposite outcomes — same technology. The difference is a checklist most teams have never actually run against their own rollout.
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The AI Gap Isn’t Waiting for You to Catch Up
Only ~19% of North American orgs are ‘AI-transformed,’ vs 37% in South Africa and Southeast Asia. The gap doesn’t just persist — it compounds.
