Here's a number that will mess with your head a little.
According to AICPA & CIMA's February 2026 survey of 1,735 executives, only 18-22% of North American accounting firms say AI is delivering strategic advantage to their businesses.
Now here's the number Goldman Sachs put out around the same time: 76% of small businesses are already using AI — and 93% of those say the impact has been positive.
So the businesses using accountants are ahead of the accountants on AI adoption.
Sit with that for a second.
If you've spent the past two years feeling like you're falling behind — like the enterprise companies and the tech-savvy early adopters were lapping you — the actual picture is more complicated. In a meaningful sense, the small business world moved faster than the professional services sector. Not because small business owners are more sophisticated. Because they had less to lose.
Why Small Businesses Moved Faster
The explanation is counterintuitive, but it holds up.
North American accounting firms didn't skip the last automation wave. They absorbed it. QuickBooks. Xero. ERPs. Robotic process automation. Those tools rewired how accounting firms operate over the past decade. The boring, repetitive work got systematized. The easy wins were already claimed.
So when AI arrived, the marginal gain for a firm that already automated its workflows was smaller. They're not starting from scratch. They're trying to figure out which existing process AI can improve by 20%. That's a harder optimization problem than starting fresh.
Small business owners, by contrast, were often still running things manually. No legacy system to protect. No entrenched workflow to retrain. You could just... start using AI for your most painful problem and see what happened.
You leapfrogged because you had room to leapfrog.
Emerging markets showed the same pattern in the data — 36-42% of firms there reported strategic advantage from AI versus the 18-22% in North America. When you're jumping from manual to AI-native, the jump is bigger, so the reported impact is bigger.
The Trap This Creates
Being "ahead" is not the same as using AI well.
This is where a lot of small business owners are right now. They've adopted AI — ChatGPT, some kind of image generator, maybe an AI email tool — but they're not sure what they're actually getting from it. They use it when it's convenient and ignore it when it's not. They haven't committed to changing anything fundamental about how they work.
The businesses getting real advantage from AI are doing something different. They're not trying to use AI for everything. They've identified one specific place where their time bleeds out every week, and they've used AI to address that place — not as a curiosity, but as a real workflow change.
That's it. That's the whole strategy.
What to Do First
Here's the practical question: if your accountant doesn't have the answers yet, and the enterprise use cases aren't relevant to your business, where do you start?
Start boring. Start small. Start with the task you hate most.
Not the most exciting use case. Not the one that sounds impressive in a podcast. The most mundane, repetitive thing you do every single week that takes an hour of your time and produces zero creative satisfaction.
For most small business owners, that's one of:
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Writing the same emails over and over — responses to common inquiries, follow-ups, vendor requests, customer complaints. If you write a version of the same email ten times a week, you can build a set of AI-assisted templates in an afternoon and get that time back permanently.
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Summarizing and organizing information — meeting notes, research, competitive information, customer feedback. Anything where your job is to read a pile of things and produce a shorter version of them. AI is genuinely, reliably good at this.
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First drafts of anything — job postings, product descriptions, social posts, proposals. AI doesn't write your final draft. It writes the thing you edit, which is a fundamentally different (and faster) task.
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Research on questions you answer repeatedly — pricing comparisons, industry background, regulatory updates. If someone on your team spends time every week finding the same kind of information, AI can do most of that retrieval.
Pick one. Solve it. Then move to the next one.
What Not to Do
Don't start by trying to use AI for your most complex, high-stakes work. Don't implement it for everything at once. Don't try to build an "AI strategy" before you've built any AI habits.
The small businesses that are struggling with AI — the ones in the 7% who say the impact hasn't been positive — are usually doing one of two things: they adopted a tool without changing their workflow around it, or they tried to use AI for something that required human judgment they haven't figured out how to replicate.
The constraint isn't access to AI tools. Everyone has access to AI tools. The constraint is having enough experience with the tools to know which problems they actually solve, and which ones they don't.
You build that experience the same way you build any experience: by starting, failing at the edges, adjusting, and doing it again.
The Actual Competitive Edge
Here's what the AICPA/Goldman gap tells you: the window where AI early adoption creates competitive advantage for small businesses is still open — but the window is narrowing.
The firms that will win the next 24 months aren't the ones with the most AI tools or the most sophisticated deployments. They're the ones who identified the right wedge first.
What's yours?
Sources: AICPA & CIMA State of Finance survey (Feb 2026); Goldman Sachs "10,000 Small Businesses Voices" report (2026)