Episode Details

Here is a number that should end every AI strategy meeting in America this week: 89 percent. That is the share of firms whose executives told the National Bureau of Economic Research that AI has had no measurable impact on their productivity over the past three years. Not small impact. No impact. Meanwhile, global employee engagement has hit a ten-year low, costing $8.9 trillion annually. Quarter-trillion on AI. Nothing back. Worst disengagement in a decade. These are not two problems. They are one.

Paul Posey, CEO of ComPsych — the world’s largest employee mental health provider — recently wrote in Fortune that leaders are treating AI adoption as a technology problem when it’s a people problem. He prescribes communication, trust-building, guardrails, upskilling. He is right about the diagnosis and wrong about the prescription. The distance between those two is where the $8.9 trillion lives. Because Posey prescribes communication. What workers need is candor.

Communication is carefully chosen information designed to manage a narrative — sentences like “AI may change parts of your job but does not diminish your value.” That costs nothing to say and means nothing to hear. Candor is different. Candor says: We are deploying AI to amplify your intelligence, not to replace it — and here is how you will know if we are lying.

Workers can read the earnings calls celebrating headcount reduction. They can see the org charts getting flatter. The anxiety is not irrational — it is a precise reading of intent. Klarna replaced 700 agents with a chatbot, bragged publicly, then quietly rehired humans after satisfaction cratered. ManpowerGroup’s 2026 data: AI usage up 13 percent, confidence in the technology down 18 percent. Usage up. Trust down. That is a candor gap, not a communication gap.

Someone will ask what authority a plant manager has to comment on AI. I have spent 36 years deploying automation on factory floors and being accountable for the P&L — robots at GM, lean systems at Chrysler and Mercedes-Benz, full-scale transformations at Royal Enfield where we grew profits twentyfold. AI is automation for white-collar work. That is all it is. Same fork in the road, same two paths — replace the human or amplify the human — same consequences when you choose wrong. The white-collar world is standing where manufacturing stood twenty years ago, except this time the people being automated have college degrees and LinkedIn profiles, so it’s making Fortune instead of going unnoticed.

Manufacturing already ran this experiment. I know which path works. But here is the part that nobody in the AI conversation wants to hear: candor about amplification is impossible unless you have a growth thesis first.

This is the really hard part — and the part most leadership teams skip. Before you can be candid about amplifying your workforce with AI, you have to be creative and aggressive about how you will grow the business. More customers. Better products that cost less to make. Beat the competition. When you have that growth thesis, you can afford to be candid about your intent — because the math requires the human to still be there, doing more. Same workers, with amplification tools, producing more. Without a growth thesis, every AI deployment defaults to cost-cutting, because there is nowhere else for the gains to go. And you cannot be candid about amplification when your actual plan is elimination.

The companies that got automation right understood this. Lincoln Electric — headquartered right here in Ohio — has not laid off a production worker since 1949. Not through recessions, not through wars, not through wave after wave of automation. Their workers share in productivity gains through a bonus system, and in return they embrace every new technology the company introduces. Why? Because the growth thesis is explicit: we will make more, sell more, and win more — and you will share in it. Lincoln’s wo