AI Gave You a Supercar. You're Still Doing Donuts.

AI was supposed to change everything.

And it did.

It handed every business — every single one — access to tools that would have cost millions five years ago. Tools that write, analyse, automate, and build. Tools that genuinely work.

And most people are using them to write Instagram captions.

Or testing a new tool, one every few weeks. Or dropping AI into a workflow that was already broken and wondering why nothing changed.

Here’s what nobody is saying out loud:

You have the keys to a supercar. And you’re doing donuts in the driveway.

The car isn’t the problem. Nobody knows where they’re going.

The Donut Economy

I want to show you what playing with AI looks like — because it’s everywhere right now.

It’s the all-hands meeting where someone demos a new tool. Everyone’s impressed. Nobody follows up. Forgotten in two weeks.

It’s the team that adopts an AI writing tool. Output doubles. Approval rate stays exactly the same. Because nobody defined who approves what, or where the final version lives.

It’s the automation that runs every night. Nobody checks the output. Nobody knows what it’s actually doing. It just... runs.

It’s the prompt someone saved in a doc somewhere. That nobody else on the team knows exists.

This isn’t an AI adoption problem. This is a destination problem.

What a Destination Actually Means

A destination isn’t a vision statement. It’s not “we want to be more efficient.”

A destination is a defined process. A known outcome. A clear owner at every step.

Here’s a real example.

A $7M business. Sales team using AI to write outreach emails. Generating more emails than ever. Response rates didn’t move.

Why?

Because nobody defined what a good response looked like. What happened after one came in. Who owned the follow-up. What stage that lead was in.

The AI was generating. The process was nowhere.

So they stopped. Drew the map first. Five stages. One owner per stage. Clear handoff criteria between each one. Then — and only then — pointed AI at stage two only.

Response rates up 34% in six weeks.

Same AI tool. Completely different result.

The only thing that changed was the map.

The Question Nobody Asks

Here’s what’s missing from every AI strategy meeting:

“What specific business outcome are we trying to reach — and what does the path to get there look like today, without AI?”

If you can’t answer that — you’re not ready for AI. You’re ready for a whiteboard.

That’s not a criticism. That’s the work. The step everyone skips because buying a tool feels like progress.

It’s not. It’s just expensive.

How to Draw the Map

Let me make this concrete.

Think about what happens when a customer emails your support inbox after they’ve bought something.

At most growing businesses: email comes in, someone sees it maybe, they dig through old emails to find something similar, write a reply with a different tone every single time. No record of what was sent. No follow-up. No consistency.

That’s not a people problem. That’s a process that was never defined.

Now with a map: you sit down for two hours. You identify the four most common email types. You write one template for each. You define who owns it. You define what happens next.

That’s the map. One step. Written down. Owned by someone.

Now AI enters. And only now.

AI reads the incoming email. Categorises it. Pulls the right template. Personalises the opening line. Sends it.

Response time: from hours to two minutes. Consistent every time.

The AI didn’t do anything clever. It just followed the map you drew.

The Anchor

AI is here to empower us. That part is real.

But empowerment requires a destination.

Right now most businesses have the most powerful tools in history. And no map.

Draw the map first. Then turn the key.