A guy told me last week he needed to build out his team to scale.
Every sentence out of his mouth was about hiring. More people. More roles. More bodies. I stopped him and asked one question.
Do you need people, or do you need leverage?
He went quiet. Then he said, “Well, what I’m really after is the result.” So I sharpened it. Do you want to be surrounded by people, or do you want the result? “I want the result.” Good. Now we were talking about the same thing.
That exchange is the whole episode. Because for most of business history, the answer to “how do I scale” was always bodies. You wanted more output, you hired more humans. That reflex is baked into every operator who came up before the last few years. But people were never the point. Leverage was the point. People were just the only thing that produced it.
That’s not true anymore.
The proof has nothing to do with AI
Here’s the part that messes with people. I know an operator who sat at $3 million in revenue for five years. Five years at the same number. The business had gotten heavy. He’d over-hired for the parts of the work he didn’t enjoy and was paying consultants and firms to make the decisions he didn’t want to make himself.
I advised him to cut it back. No AI. None. Just strategy.
He reduced his team and doubled his profit.
Zero technology involved, because the problem was never a tool problem. It was a thinking problem. He’d confused being surrounded by people with getting the result. The weight he’d added to the boat was the thing holding him at the same number, and he couldn’t see it because every hire had felt like progress at the time.
That’s the part I want you to sit with before we talk about any tool. The people-vs-leverage question is a thinking problem first. If you get it wrong in your head, no amount of AI fixes it. You’ll just amplify a business that was already carrying too much.
Now stack the tools on top
Once the thinking is straight, the tools make the gap absurd.
I’m raising money for a company I’m part of, so I needed a full financial forecast. Runway, raise math, how many clients a month to be profitable inside a year. I built a CFO skill, trained on the books and blogs real CFOs actually learn from, and ran the whole thing in an afternoon. It spit out acronyms I had to ask it to define. A consultant would have charged me $50,000 just to assemble that same forecast.
The deeper part isn’t the money saved. I’ve had human CFOs on my teams before. I’d railroad them, or I’d avoid the basic questions because I didn’t want my ego to look dumb, so they’d quietly bend the numbers to keep me happy. With the skill I just say, “explain it to me like I’m in eighth grade.” No ego in the room. We use other people to create the illusion that the business isn’t fully ours. It always was.
So the old reflex was bodies. You don’t need a CFO, you need the CFO skill. You don’t need a CMO, you need the CMO skill. The people you keep telling yourself you have to hire are increasingly a skill you can own.
Get diagnosed before you build
The trap on the other side is buying tools the way most operators do, which is the same way a guy with a headache walks into CVS and buys every bottle on the shelf. One of those pills might work. You’d save a lot of time and money getting diagnosed first.
So on a client’s business I flipped it. Instead of guessing where AI should go, I connected Claude Code to their project management software and their email and pulled every single task running through the company. Then I asked it one thing. What can you replace right now, and what can you replace in six months?
I didn’t have to guess where to start. The AI did the assessment itself.
It found that 15% of the tasks could disappear today, simple waste. Another 30% could be fully automated right now and just need a human to review the output. Another 30% was buildable inside six months. Nearly half the business automatable now, the rest in range, and nobody had to play guess-and-check to find it. The owner looked at it and said, “this is insane.”
Then you build the smallest win first. That five-minute task you automate isn’t impressive on its own, but it’s the little domino sitting in front of the door-sized one. You knock the small one, momentum compounds, and eventually AI becomes the project manager and the person who used to run it moves into a reviewer seat.
The reason almost nobody talks about this part is simple. Most people teaching AI are content creators. They’ve never run operations, so they teach the content use case and skip the part that actually changes a business’s cost structure. The boring middle of the business, the part nobody’s filming, is exactly where the leverage lives.
The question to ask before the next hire
So before you post the next job, sit with the real question. Do you actually need the person, or do you need what you’ve always assumed only a person could give you? Most of the team you’re about to add isn’t there because the work demands it. It’s there because hiring feels like progress.
The old way to scale was bodies. The bodies are a skill now.
My co-host Ted Phaeton and I went deep on all of it in this week’s episode. The daily AI brief that replaces the reactive-CEO morning, the ops audit, speed to lead, churn prediction, the whole leverage stack, plus the operations conversation almost nobody in the AI space is having. Watch the full thing here: https://www.youtube.com/watch?v=NZSuIiBmRLE
Then come find us in the Full Stack Founders community and tell me the last role you almost hired for. I want to see how many of those are a person you need versus a result you need.