Most Small Businesses Use AI Now. The Gap Is in How They Use It.

The AI Adoption Gap Just Became a Chasm

A year ago, we were still having conversations with business owners about whether they should try AI. That conversation is over.

The U.S. Chamber of Commerce surveyed 3,870 small businesses in June 2025 and found that almost 60% now use AI in their operations, more than double the share in 2023. Not considering it. Using it.

Generative AI specifically? 58% adoption, up from 40% in 2024 and more than double the 23% from 2023. And Salesforce's survey of 3,350 SMB leaders found 91% of SMBs with AI say it boosts their revenue.

The question isn't whether small businesses are adopting AI anymore. It's whether you're using it well enough to keep up.

What "Using AI" Actually Means

Let's be careful with that number. Each survey defines "using AI" in its own way, so the figures move around from one report to the next.

The more meaningful numbers are in the deliberate adoption stats:

58% of small businesses are actively using generative AI (U.S. Chamber of Commerce)
55% report using AI tools consciously in their workflow (Thryv)
63% of AI users use it daily, and data analysis is the top application (62%) (Thryv)
34% have fully implemented AI into their operations (Salesforce)

So roughly half of small businesses are using AI with intention, and a third have made it core to how they operate. That still leaves a significant gap, and that gap is widening fast.

Where the Money Is Actually Going

The most interesting part of this data isn't adoption rates. It's what businesses are spending their AI time on.

Marketing leads everything. The OnDeck/Ocrolus report found that among small businesses using AI, adoption is concentrated in marketing (63%). That makes sense. Content creation, email subject lines, social media posts, ad copy: these are high-volume, repetitive tasks where AI delivers immediate ROI.

Customer service is another common use. Chatbots and automated responses handle the first layer of customer interaction, freeing up human staff for complex issues. Thryv found 46% of small business AI users use customer engagement tools like chatbots.

Data analysis is near the top too. Small businesses are using AI to forecast demand, analyze customer behavior, and spot trends they'd miss manually. In Thryv's survey, data analysis was the most common application among AI users (62%).

The ROI Numbers Are Real (With a Caveat)

The headline stats paint a rosy picture:

91% of SMBs with AI say it boosts revenue (Salesforce)
87% report positive business impact (OnDeck)
58% of AI users save 20+ hours per month (Thryv)
66% save $500 to $2,000 monthly (Thryv)
71% expect to increase AI investment over the next year (Salesforce)

Those numbers come from real surveys. But here's the caveat.

PwC's 2026 Global CEO Survey found 56% of CEOs say they have seen no significant financial benefit from AI to date. A Federal Reserve Bank of Atlanta study of almost 6,000 executives found more than 80% of firms reported no impact on either employment or productivity over the past three years.

How can both be true? Because there's a massive difference between using AI and using AI well. The businesses seeing real ROI aren't just plugging in ChatGPT and hoping for the best. They've integrated AI into specific workflows with clear metrics, human oversight, and iterative improvement.

The ones getting nothing? They bought subscriptions, ran a few experiments, and never built the systems to make AI stick.

What the Winners Are Actually Doing

Here's the pattern in the businesses getting real results.

They started with one workflow, not everything at once. The most successful adopters pick a single high-volume, repetitive task and make AI great at that before moving on. Usually it's content creation or customer response templates. They get the system dialed in, measure the results, then expand.

They built review loops, not autopilot. AI generates drafts. Humans review, refine, and approve. The businesses treating AI as a first draft machine consistently outperform the ones treating it as a finished product machine.

They track time saved, not just output volume. The Thryv data showing 20+ hours saved per month? That only matters if those hours go somewhere productive. The winning businesses track where the reclaimed time goes and make sure it's directed at high-value work like relationship building, strategy, and creative problem solving.

They invest in their team's AI skills. 94% of SMB owners project growth in 2026, but the gap between "my team uses AI" and "my team uses AI effectively" is where competitive advantage lives. Regular training, shared prompt libraries, documented workflows. These aren't nice-to-haves anymore.

The Real Risk of Holding Out

Here's what concerns me about the holdouts.

It's not that they'll fail tomorrow. It's that the cost gap is compounding. A business using AI for marketing is producing more content at a lower cost. A business using AI for customer service is responding to inquiries in seconds instead of hours. A business using AI for data analysis is making inventory decisions from data instead of gut feeling.

Each month that gap compounds. The AI-adopting competitor isn't just a little faster. They're operating at a fundamentally different scale.

94% of small business owners project growth in 2026. But growth requires either more people or more productivity per person. With inflation (31%) and cash flow (29%) still the top challenges, hiring is expensive. AI-powered productivity is the alternative.

Your Move

If you're already using AI, the question is whether you're in the 34% who've fully implemented it or the 41% still experimenting. The gap between those two groups is where the real value lives.

If you're not using AI yet, you're not just behind. You're competing against businesses that have a fundamentally different cost structure.

Either way, the data is clear. This isn't a trend to watch. It's a shift that's already happened.

Not sure where AI fits in your business? Book a free 30-minute call and we'll identify the one workflow where AI will have the biggest impact for you.

Sources: