Blog / The Owner's Playbook

01 · The Owner's Playbook

How an Owner
Actually Uses AI

Most owners try AI by opening a chat window and asking it to write an email. That's the tourist version. The real question isn't whether AI can do tasks — it's where you, the person who owns the outcome, point it first.

Ask most business owners how they use AI and you get the same answer: "Oh, I've played with ChatGPT. It writes decent emails." That's the equivalent of buying a Formula 1 car and using it to get the mail. Not wrong — just the smallest possible use of the thing. Writing an email is a task. An owner's job was never tasks. An owner's job is judgment, allocation, and seeing the whole board. That's where AI actually earns its keep, and almost nobody points it there.

The shift is simple to say and hard to internalize: stop asking "what task can AI do for me?" and start asking "what decision do I make badly, slowly, or blindly that AI could make sharper?" The first question gets you a faster assistant. The second one gets you leverage on the part of the business only you touch.

A chatbot makes your employees faster. The owner's use of AI makes your decisions better. Those are not the same investment.

Where an owner actually points it

Here is what the owner's-seat use of AI looks like in practice — none of it is "write me a caption."

1. See the whole business at once

No owner can hold intake, ops, finance, and retention in their head simultaneously — so they manage by whichever fire is loudest. AI doesn't get tired and doesn't have a favorite department. Pointed across your data, it watches every part at the same time and surfaces the thing that's drifting before it becomes the fire. You stop managing by symptom and start managing by signal.

2. Pressure-test the decision before you make it

The most expensive decisions an owner makes are the ones nobody pushed back on. Used well, AI is the partner who will argue with you for free — run the downside, surface the second-order effect, play the competitor who undercuts you. Not to decide for you. To make sure you're not the smartest person agreeing with yourself in an empty room.

3. Encode your own judgment so the business runs on it

Your reasoning is the most valuable asset in the company, and it currently lives in exactly one skull. The owner's highest-leverage AI move is capturing how you think — how you price, who you say no to, what a good file looks like — so the business makes those calls your way when you're not in the room. (That one's worth its own piece — it's next in this series.)

78%

of organizations now report using AI in at least one business function, per McKinsey — but adoption isn't the edge. Where the owner aims it is. Most aim it at tasks; the few who aim it at judgment pull away.

Why the tourist version feels disappointing

Owners who only ever use AI as a chatbot come away underwhelmed, and they're right to. They asked it to do the lowest-value thing in the building and it did the lowest-value thing in the building. McKinsey's research keeps finding the same split: most companies bolt AI onto isolated tasks and see isolated results, while a small group rewires how decisions actually get made and pulls away on the numbers that matter. The difference isn't the tool. It's the altitude at which the owner deploys it.

If AI feels underwhelming, you probably handed it the wrong job. You gave a strategist your inbox.

The owner's starting move

  • List the five decisions only you make. Pricing, hiring, who to fire, what to build, where to spend. That list is your AI roadmap — not your task list.
  • Point AI at the decision, not the chore. "Help me see what's drifting in retention" beats "summarize this email" by a hundred to one in owner value.
  • Use it as the partner who argues back. The downside, the blind spot, the competitor's move. Cheap insurance on expensive calls.
  • Then capture your own judgment. Once AI is making your kind of call, the business scales past the limits of your single calendar.

AI isn't a smarter employee you delegate chores to. In the owner's hands it's a second version of your own judgment — running all the time, across the whole business, never tired, never agreeing with you just to keep the peace. The owners who figure that out aren't using a better tool than everyone else. They're just pointing the same tool at a far more valuable target.

Sources & further reading

  1. McKinsey & Company — "The State of AI" (global survey). mckinsey.com Adoption data and the gap between task-level use and decision-level rewiring.
  2. Harvard Business Review — "How to Make Smarter Decisions with AI." hbr.org On moving AI from isolated tasks to the core of how a business decides.
  3. Goldman Sachs Research — "Generative AI could raise global GDP by 7%." goldmansachs.com Scale of the productivity shift owners are deciding how to capture.

From the Real In Studio interview series

The way you think about your business is the real asset.

This whole series came out of one recorded conversation with Ken. That's the model: an hour of interview, and we turn the way you think into a library of video scripts in your voice.

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