93% of Small Businesses See AI Results — Only 14% Use It Fully

The gap between AI excitement and AI action is enormous

Goldman Sachs just published the results of a survey of 1,256 small business owners through its 10,000 Small Businesses program. The headline number is striking: among small businesses using AI, 93% say it has had a positive impact on their operations. That’s near-universal satisfaction.

But here’s the number that matters more: only 14% of those businesses have fully integrated AI into their daily operations. The rest are dabbling. Testing a tool here, automating a task there, but not embedding AI into the way they actually run their business.

This isn’t a technology problem. It’s an implementation problem. And it’s one that small businesses in Appalachia — where budgets are tight and technical support is scarce — feel more than most.

What the Goldman Sachs survey found

The survey, conducted by Babson College and David Binder Research from January 27 to February 4, 2026, paints a clear picture of where small businesses stand with AI.

Adoption is high and growing

More than three-quarters of small businesses (76%) report currently using AI in some form. That’s a sharp increase from broader industry estimates that put small business AI usage at 40% just 18 months ago.

The results are overwhelmingly positive

Among those using AI:

93% report a positive impact on their business
84% cite increased efficiency and productivity as the primary benefit
87% say AI augments their workforce rather than replacing employees
67% expect to see increased revenue from AI adoption

But real integration is lagging

Despite those numbers, fewer than 1 in 5 small businesses are doing a good job of actually integrating AI across their operations. Most are using one or two tools in isolation — a chatbot here, a scheduling assistant there — without connecting them to their core workflows.

Why 93% satisfaction but only 14% integration

This gap is the most important finding in the survey. If almost everyone who tries AI likes it, why aren’t more businesses going all-in?

The survey identifies three main barriers:

Data privacy and security concerns (50%) — Small business owners worry about what happens to their customer data when AI tools process it. This is valid, especially for businesses handling sensitive information like health records or financial data.
Lack of technical expertise (49%) — There’s no IT department at a five-person plumbing company. When an AI tool needs configuration, integration, or troubleshooting, who handles it?
Difficulty choosing the right AI tools (48%) — The market is flooded with options. Every SaaS product now claims to be “AI-powered.” For a restaurant owner or HVAC contractor, figuring out which tools actually solve their problems is overwhelming.

These barriers aren’t surprising. They’re the same ones we hear from business owners across Appalachia every week. The technology works. The challenge is getting it set up, keeping it running, and knowing which tools are worth the investment.

What’s missing from the conversation

The Goldman Sachs survey is valuable, but it focuses on businesses that are already in Goldman’s 10,000 Small Businesses network — owners who have access to training, mentorship, and resources that most small businesses don’t. The real integration gap for businesses outside that network is likely much wider.

There’s also a pattern the data hints at but doesn’t fully explore: the businesses seeing the best results are the ones using AI for specific, well-defined tasks rather than trying to overhaul everything at once. A separate Goldman Sachs analysis found that AI delivers a meaningful 30% productivity boost in two specific areas — code generation and customer service — while showing negligible impact in broad, unfocused deployments.

That tracks with what we’ve seen. The businesses that get stuck are the ones that bought a general-purpose AI subscription and expected it to transform their operations. The ones that succeed are the ones that identified a specific pain point — missed calls, slow scheduling, review management — and deployed a focused tool to solve it.

How to move from experimenting to operating

If your business is in the 76% using AI but not the 14% fully integrating it, here’s how to close that gap.

Start with one workflow, not a platform

Pick the task that costs you the most time or money. For many service businesses, that’s answering the phone. A missed call during business hours is a lost lead. A missed call after hours is a lost customer. An AI-powered intake system like Hollr captures those leads 24/7 without you needing to hire an answering service.

Connect your tools to your existing systems

The reason most AI experiments stall is they exist in isolation. An AI scheduling tool that doesn’t talk to your calendar creates more work, not less. Look for solutions that integrate with the tools you already use — your CRM, your booking system, your phone line.

Get help with the technical setup

The 49% of business owners who cite “lack of technical expertise” aren’t wrong to worry about it. But the solution isn’t to hire a full-time IT person. It’s to work with a partner who understands both the technology and your business. That’s exactly what our consulting team does — we help small businesses identify where AI fits, set it up correctly, and make sure it actually works.

Measure what matters

Track the metrics that connect to revenue: calls captured, appointments booked, response time reduced, hours saved. If you can’t point to a specific number that improved after deploying an AI tool, you haven’t integrated it — you’ve just installed it.

The bottom line

The Goldman Sachs survey confirms what we’ve been saying: AI works for small businesses. The problem was never the technology. It’s the implementation.

Ninety-three percent satisfaction means the tools are good enough. Fourteen percent full integration means the support isn’t there yet. For businesses in Appalachia — where every dollar counts and there’s no room for expensive experiments that don’t pay off — the path forward is focused, well-supported AI adoption that solves real problems from day one.

If you’re ready to move past experimenting, explore our small business solutions or get in touch to talk about what AI can actually do for your specific business.