The Real Reason Your Team Is Not Using AI

Last year I sat with the owner of a logistics company outside Johannesburg. He had done everything right by the book. Paid for subscriptions. Booked a training day. Put together a guide on how AI tools could help his admin and operations teams.

Six months later, almost no one was using any of it.

His first instinct was that the training had not stuck. His second was that his team was resistant to new technology. He wanted to book another training session.

I asked him one question before he did: "How often are you using AI in your own work right now?"

He paused. "A bit here and there," he said. "I'm honestly still working out if it's the right fit for what we do."

And that was the answer.

Your team takes its cues from you, not the tool

People inside organisations are remarkably good at reading their leader's level of commitment to something. They have had years of practice. They have watched initiatives arrive with fanfare and disappear quietly. They have learned that the safest move, when the person at the top is still undecided, is to keep their heads down and wait.

So when you tell your team that AI is the future but you yourself are still evaluating whether it is worth your time, they do not hear the message. They read the signal. And the signal is: not yet.

This is not a team problem. It is not a training problem. It is not a technology problem. It is a leadership problem. And it is the most common pattern I see across the businesses I work with.

There is a difference between buying and deciding

Most founders I meet have already bought at least one AI tool. They have access to ChatGPT or Copilot or something similar. What they have not yet done is made a clear decision that AI is going to change how they personally work.

Buying a subscription is not the same as deciding. Deciding means committing to the uncomfortable early weeks where you are slower than before, where the outputs are not quite right, where you feel like you are wasting time. Deciding means being visible in that learning process with your team. Letting them see you figure it out. Talking openly about what worked and what did not.

When you make that decision and start living it, your team will notice within weeks. Not because you sent a memo, but because your behaviour is the loudest signal in the business.

The cost of waiting

Here is the question I put to every founder I work with: "What would it cost you if nothing changed in your business over the next twelve months?"

When people sit with that question honestly, the answer gets uncomfortable quickly. The cost of standing still is not zero. It compounds. The businesses that are embedding AI into their operations are getting faster, trimming costs, and responding to clients more effectively. The gap between them and the businesses still evaluating is widening, and it is doing so quietly.

Across manufacturing, professional services, logistics, and retail, the pattern holds. The companies making real progress with AI are not the ones with the most sophisticated tools. They are the ones where the owner made a personal decision, went first, and made it visible.

The businesses still waiting are almost always waiting on one person.

A question worth sitting with

If I asked three of your team members right now whether AI is genuinely a priority in your business, what would they say? Not what they are supposed to say. What would they actually say based on what they have seen you do this week?

And if you ask yourself the same question honestly: have you decided, or are you still deciding?

Because your team will not move until you do.