- 89% of small businesses now use AI in some form - up from 36% in 2023 - but only about 8% reach advanced adoption. Most stall after one or two experiments with no real strategy.
- The businesses that get results started with one specific problem, not 'we should do AI.' A single use case, implemented and measured, before expanding.
- The lowest-barrier, highest-ROI entry points: content creation (marketing copy, emails), customer service (FAQs, after-hours messages), and data analysis/reporting.
- The top barrier isn't cost - it's knowledge and confidence, cited by 44% of small business owners. The skills gap is bigger than the money gap.
Almost every small business has now tried AI, and most are stuck. The direct answer to where to start: pick one specific, painful, repetitive problem - not an 'AI strategy' - and solve just that with AI, then measure it before you expand. The businesses seeing real returns didn't roll out AI everywhere. They fixed one thing well.
Nearly everyone has started - almost no one has scaled
Adoption is basically universal now: 89% of small businesses use AI in some form, up from 36% in 2023 and 58% in 2024. But depth is rare - only about 8% reach advanced adoption, with most businesses investing in one or two use cases without a broader strategy and then plateauing. That gap between 'we've tried AI' and 'AI meaningfully runs part of our business' is exactly where the opportunity sits for any owner willing to go one step deeper than their competitors.
Where AI actually lands first (and should)
The data shows clear, low-barrier entry points where the ROI is immediate and measurable:
Content creation. The most common use - 68% of small businesses use AI for marketing content, plus emails, social posts, and product descriptions. Zero setup, instant time savings.
Customer service. 51% of AI-adopting small businesses use it here - FAQs, after-hours messages, first-response triage. The ROI is visible fast: fewer missed messages, faster replies, more captured leads.
Data analysis and reporting. 62% use AI for data tasks - turning sales numbers into plain-English summaries and forecasts without a analyst. Faster reporting is one of the most measurable wins available.
These share a trait: low barrier to entry, no custom build, no technical team. Ease of adoption is the main reason AI lands in these areas first for small teams - and that's a feature, not a compromise. Start where the friction is lowest and the payback is fastest.
The real barrier isn't money - it's knowing how
Here's the finding that should reframe how you think about this: the top barrier to AI adoption isn't cost. It's lack of knowledge and confidence, cited by 44% of small business owners. The skills gap is more significant than the cost gap. Most of the highest-value AI tools are cheap or free - what's missing is knowing which problem to point them at and how. That's good news, because a skills gap is closeable in a way a budget gap often isn't.
What this means for your business
You don't need an AI strategy deck or a consultant. You need one problem you know is costing you time or money, and the confidence to build a solution to just that. That's the entire premise of MakerSquare: the people best placed to build with AI aren't technical specialists, they're operators who know exactly where their business hurts. Our use cases show what small businesses actually build - working tools around one real problem at a time.
The small businesses that pull ahead won't be the ones with the biggest AI plans. They'll be the ones who fixed one expensive problem and then fixed the next.
MakerSquare is a 2-week in-person AI builder program in Austin, TX for small business owners and operators who want to build a real AI tool around one problem they actually have. See what two weeks of hands-on building looks like.