1 in 4 Small Businesses Actually Runs AI. Twice That Many Are Stuck Exploring It.
Reimagine Main Street and PayPal surveyed about 1,000 small businesses and found 76% are using or exploring AI, but only about a quarter are actually running it. Roughly half are stuck testing and exploring. The gap is not desire. Three-quarters want in. Only one in four crossed from poking at it to running it, and exploring is the comfortable place most of them never leave.
Founder, Simmons Solutions. Three years hands-on with AI.
In plain terms: A survey of about 1,000 small businesses found 76% are using or exploring AI, but only around 25% are actually running it. Roughly half are stuck in the testing-and-exploring stage. The problem is not that owners do not want AI. Three out of four do. The problem is that "exploring" feels like progress, costs nothing, and never has to end.
For three days I have been writing about enterprise AI failing: 95% of pilots with no measurable payback, companies quitting their AI projects at twice last year's rate. Fair question: does any of that touch a small business? You are not running a 300-person pilot with a committee.
So here is the number for your side of the street. It is not a failure stat. It is a stuck stat, and it is more common than any of the enterprise ones.
What the research says
Reimagine Main Street, a project of the Public Private Strategies Institute, ran a survey with PayPal across about 1,000 small businesses with revenue between $25,000 and $5 million, plus 20 longer interviews. The split looked like this:
- About 25% are current AI users — it is actually wired into how they work.
- About 51% are testing and exploring — they have tried it, they are curious, they are "looking into it."
- About 24% have no plans at all.
Add the first two and you get 76% who are using or exploring AI. That is a big, encouraging number, and most headlines stop there. But the honest read is the gap inside it. For every one business actually running AI, there are two more standing at the edge, exploring, not crossing.
Exploring is the comfortable place
Here is why that middle group is so large, and why it stays large.
Exploring feels like progress. You read the articles. You try the chatbot. You watch a demo, you nod, you tell yourself you are "getting into AI." And none of it costs you anything. No decision, no setup, no risk of picking wrong. It is the most comfortable seat in the house.
Running it is different. Running it means picking one specific job, turning something on, and living with it in your business every day. That step has friction. It asks you to choose. So the natural thing is to stay in the exploring seat, where it always feels like you are about to start and you never quite have to.
The trap is that exploring has no finish line built in. A year from now you can be exactly as "into AI" as you are today and not one dollar better off. The 51% is not a waiting room that empties out on its own. For most, it is the destination.
What this means for you
If you are honest and you land in that 51%, the fix is not more research. You already know enough. The fix is to cross the line on one thing this week and let it be small.
Do not try to "adopt AI." That is a fog with no edges, which is exactly why it keeps you exploring. Pick one narrow, finishable job instead. A good first one is the appointment: the reminders, the confirmations, the rebooking of no-shows. It is small enough to turn on in days, it runs on its own once it is live, and you can watch a real number move, the share of people who actually show up. Booking and No-Show Shield is that first cross-the-line step: one specific thing, running, not explored.
The businesses that pull ahead are not the ones who read the most about AI. They are the ones who moved a single workflow from "I should look into that" to "that runs now." One in four already did. The seat next to them is open.
FAQ
Is exploring AI actually bad? It seems responsible. Exploring is fine as a phase and a trap as a home. The problem is it has no natural end, so "being careful" quietly becomes "never starting." Give it a deadline: pick one job to turn on by a specific date, and let exploring serve that decision instead of replacing it.
I do not know which AI to pick. Is that not a reason to keep exploring? It feels like one, but choosing the tool is the small part. The 51% are not stuck because there is no good tool. They are stuck because starting means committing to one narrow job. Pick the job first, the single workflow where a faster or more reliable response makes you money, and the tool choice gets simple.
What is the smallest way to actually cross the line? Choose one moment in your business, wire up just that, and measure one number for a month. Missed calls, new leads, or appointment no-shows are the usual best first picks because they are narrow, they touch money directly, and you will see the result fast. Small and finished beats big and explored.
Sources
Keep reading
- Briefing42% of Companies Walked Away From Most of Their AI Projects This Year. Last Year It Was 17%.Read
- Briefing95% of Enterprise AI Pilots Show No Measurable Profit Impact. The Tool Was Never the Problem.Read
- Briefing1 in 10 Posts Keeps Growing After You Publish It. That Handful Drives 38% of All the Traffic.Read
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