AI Adoption & Implementation
Small Businesses Are Using AI. So Why Are So Few Putting It to Work?
New research reveals a significant gap between experimenting with artificial intelligence and incorporating it into everyday business operations.
Jordan Maruszak, Founder, Pixel Narratives
November 6, 2026
Artificial intelligence is finding its way into more small businesses. Owners are using it to write emails, create marketing materials, research customers, analyze information, and tackle everyday tasks.
But there's a significant difference between using AI occasionally and finding ways to make it a valuable part of how a business operates.
According to the Federal Reserve Banks' 2026 Small Business Credit Survey, 46% of surveyed employer firms reported using AI. Among those already using it, about half were still experimenting, 44% had partially integrated it into their operations, and just 7% reported full integration.
The Federal Reserve's 2026 report draws on its 2025 survey of 6,525 employer firms and is a convenience sample, not a random sample of every U.S. small business.
These findings were also highlighted in a November 5, 2026, Forbes article by Natalie Madeira Cofield examining why small businesses continue to struggle with AI adoption.
The numbers raise an important question: If AI is becoming increasingly accessible, what's preventing more businesses from putting it to work?
The Challenge Is Figuring Out Where AI Fits
Getting started with AI has become remarkably easy. Many tools are inexpensive, accessible, and capable of producing useful results within minutes.
But business owners face more complicated questions when they begin looking beyond individual tasks.
Where could AI make the biggest difference? Which existing processes could be improved? Should the business use an off-the-shelf tool, connect existing systems, or build something customized?
And perhaps most importantly, how do you know whether the investment is worthwhile?
The Federal Reserve found that 43% of AI-using firms reported difficulty finding or adapting tools to meet their needs. Among firms planning to adopt AI, 54% reported difficulty finding suitable tools, while 37% identified implementation or employee-training time as a challenge.
These are practical challenges that require thoughtful decisions, testing, and an understanding of how a business operates.
The Opportunity Goes Beyond Productivity
The same research found that 71% of AI-using firms reported increased productivity, 39% reported improvements in the quality of goods or services, and 31% reported higher sales.
These are self-reported outcomes, but they point to opportunities worth exploring.
Saving time on administrative work is valuable. So is improving customer service, developing new capabilities, making better use of business information, or pursuing projects that previously required more resources than a company could justify.
As AI capabilities improve, business owners have an opportunity to reconsider what their companies can accomplish with the people, resources, and systems they already have.
The question becomes how to translate those possibilities into practical improvements.
Moving From Experimentation to Implementation
There's no single approach that works for every business.
For some, the best starting point may be training employees to use existing AI tools more effectively.
For others, it could be automating a repetitive workflow, connecting disconnected systems, improving reporting, or developing a customized internal tool.
The goal is to identify a worthwhile opportunity, implement a practical solution, and evaluate the results.
Businesses also don't need to integrate AI into every part of their operations. A few well-chosen applications can deliver meaningful value.
And with the technology evolving so quickly, businesses benefit from approaching AI with flexibility. The right solution today may involve existing software, a specialized AI tool, or a combination of technologies.
A Different Way to Think About What's Possible
One of the more interesting findings in recent research comes from the Association for Enterprise Opportunity's The Main Street AI Paradox.
Among solo entrepreneurs, 32% said they didn't believe generative AI was relevant to their work.
That finding raises an interesting possibility: Some businesses may be overlooking opportunities because they're evaluating AI only through the work they already do.
What about the work they've never attempted because it was too expensive? The services they've considered offering but couldn't justify staffing? The internal tools they've wanted but couldn't afford to develop?
AI is changing the economics of many of those decisions. Insert Door Metaphor is about that shift.
At Pixel Narratives, we work with businesses to identify opportunities for AI, implement solutions, and help teams develop the skills to use them.
We believe one of the most valuable questions a business owner can ask today is simple:
What could my business do now that would have been too expensive, too complicated, or too time-consuming just a few years ago?
The technology is changing quickly. The opportunities are worth exploring.
And for many businesses, the next step is simply figuring out where to begin.
Sources and Further Reading
Federal Reserve Banks2026 Report on Employer Firms, Small Business Credit Surveyfedsmallbusiness.org
ForbesNatalie Madeira Cofield, “Why Small Businesses Are Still Struggling to Put AI to Work,” November 5, 2026.forbes.com
Association for Enterprise OpportunityThe Main Street AI Paradox, September 2026.research.aeoworks.org