They don't want to understand — they want to check the box

I sit in meetings with leadership teams. Not as the one presenting — more often as the one listening from the side while someone else tries to explain what we do and why it matters.

And I see the same thing every time.

They nod. They ask a question or two. They look engaged. But when the meeting ends and they walk back to their offices, they haven't understood more than when they came in.

They didn't want to, either. They wanted to be able to say they've done something with AI.

Two forces colliding

There's pressure from above. From the board, from owners, from industry press, from the LinkedIn feed that never goes quiet. Everyone is talking about AI. Everyone is making AI investments. If you're not, you're falling behind. That's the message, and it works.

So leadership needs to check the box. We've made an AI investment. We've brought in an expert. We've had a workshop. Done.

But there's another force working in exactly the opposite direction: nobody wants to reveal that they don't understand. Not in front of their colleagues, not in front of the board, not in front of the consultant sitting across the table.

I've seen it. A manager nodding through an entire presentation without asking a single follow-up question. Not because it was clear — but because the alternative was to show that it wasn't.

The result: they buy what feels safe and reportable. Not what actually changes anything.

Every word is wrong

And here's what makes it almost impossible to navigate.

Say AI — and they think replacement. Robots taking jobs. Or worse: they think they already know it, because they have Copilot.

Say LLM — and they have no idea what you mean. Another acronym in a row of acronyms nobody asks about.

Say prompt — and you signal an industry of opportunists selling courses on how to talk to ChatGPT. Any consultant who leads with the word prompt should be seen as a warning sign, not a reference.

Say language model — too generic. It sounds like linguistics, not business development.

Say context window — technical jargon that not even all developers understand intuitively.

And here's the irony: the words that actually describe what we do — taking existing experience and expertise and amplifying it — don't exist in this vocabulary. The entire language around this subject is built by and for people who already understand. The rest sit at the table and nod.

What they actually need to hear

I've tested this. I've stood in front of groups and tried to explain what a language model does, how the context window works, why it matters what data you feed in. It works — for those who already have a feel for it.

For the rest, it sounds like yet another technical presentation they have to sit through.

What actually lands is something entirely different. It's when you stop talking about the tool and start talking about their people.

Your employees have ten, twenty, thirty years of experience. They know how your customers think. They know which problems always come up. They know what works and what doesn't — not because they've read about it, but because they've lived it.

What we're talking about is how that experience does more. Faster. Sharper. With less friction between what they know and what needs to be produced.

Nobody needs to learn a new language. Nobody needs to understand how a language model works under the hood. They need to see that what they already know has become more valuable — not less.

It threatens no one. It exposes no one. And it gives leadership exactly what they want: a box to check upwards, and a sense that their organisation has actually taken a step forward.

Away from replacement, towards amplification

The narrative that has dominated the last two years is about replacement. Anyone can do anything. We don't need these people anymore. AI will handle it.

That's not just wrong. It's actively harmful.

It creates fear in those who have the experience. It creates false confidence in those who don't. And it sells a picture of reality that doesn't hold — that the tool is what matters, not the person.

The shift that needs to happen is simple to state but hard to execute: it's not about buying in new competence. It's about unlocking what you already have.

A person with twenty years of experience in your industry, your customers, your processes — that person has always known what needs to be done. The friction has been turning that knowledge into documents, presentations, decisions, action. That friction has decreased radically.

But only for those who already have the knowledge. Without experience, there's nothing to amplify.

What happens beneath the surface

Here's the curious thing. When you stop explaining the technology and start talking about the people in the room — their experience, their expertise, their everyday problems — they actually start to understand.

Not because someone explained how a language model works. But because they recognised themselves. They heard their own challenges described. They saw their own employees in the examples. And then a door opens that no technical presentation could have opened.

Suddenly they ask: can we try this with our customer service? Can Sara, who's worked here for fifteen years, use this in her client calls?

That's the right question. And it didn't come because they understood the tool. It came because they understood their own people.

Understanding follows application. Not the other way around.

The opportunists and those who stay

There's an entire industry of consultants selling AI as magic. Three-day courses in prompt engineering. Presentations full of buzzwords. Promises that anyone can do anything.

They're the ones who made this conversation so difficult. They've taken every word — AI, prompt, LLM — and loaded it with expectations that don't hold. And now here we stand, those of us who actually know what we're talking about, trying to communicate with a language that's already been ruined.

The solution isn't to find new words. The solution is to stop talking about the tool and start talking about the work.

Your employees already know what needs to be done. What I do is show how it can be done faster — with the experience that already exists in the house.

That doesn't need a buzzword. It just needs a conversation about reality.

They don’t want to understand — they want to check the box