I spent part of last week at the SF Fed, in a room full of researchers and data and a presentation on AI and small business that was honestly fascinating — and also kind of maddening in a way I couldn't stop thinking about on the drive home.
Here's what the data said: nearly 40% of small businesses (as defined by businesses with fewer than 500 employees) were already using or planning to use AI. That sounds like momentum.
But here's where I think the real story is.
Most of the operators who aren't in that 40%? They're not resistant to the technology. They just can't see themselves in a single example being shown to them.
My favorite quote was from a business owner that when asked if s/he will use AI said, “I hope not. We make cheeseburgers.” LMAO
There’s truth in that, though! It’s not only exhausting to hear about AI all the time, but it’s also truly, not a silver bullet. Even more so for the small businesses that make up more than half of US employment and live at the intersection of services and real, world, physical labor and logistics.
The current AI use cases were written for someone else.
There's a version of AI adoption that looks like this: a solo founder opens ChatGPT, asks it to draft an email, calls it a day. And fine, that's real. But it's not the same problem set as an operator who's got six crews in the field, a dispatcher texting from a personal cell, and a foreman who learned the specs by watching the owner for eight years.
When that operator sits in an AI webinar and the example is "write a LinkedIn post," they don't disengage because they're behind. They disengage because nothing in the room is talking to their actual operation.
That's the translation gap. And it's not a technology problem.
It's a strategy problem wearing a technology costume.
The question that I think actually matters is: what problem are you trying to solve? Not "use AI." Not "stay current." What is slowing you down in your actual business, right now, this week?
Because once you answer that, the tool conversation changes completely.
A contractor I work with didn't need an AI content strategy. He needed something that could help him stop re-explaining job specs to every new crew member from scratch. That's a knowledge transfer problem. That's a documentation problem. And yes, when you frame it that way, there are tools that help — but you'd never find them starting from "AI use cases for small business."
This is what I mean when I say strategy first, tools second. Always.
It's not a cute slogan. It's the whole thing. The Operator Triangle — what's happening with your customers, what's happening in your delivery, and what the business numbers are telling you — that diagnostic has to come before any tool conversation. Otherwise you're just a kid trying to set up a tent with no idea which pole goes where.
The good news is that small business operators are not behind on AI. They're just waiting for someone to ask the right question.
