Goldman Sachs Pushes Small Business AI Adoption

Wall Street just told Main Street to wake up on AI

Goldman Sachs brought 300 small business leaders to Birmingham, England for its 10,000 Small Businesses summit in late March. The message from the stage was blunt: adopt AI now, or watch larger competitors pull further ahead.

Former UK Prime Minister Rishi Sunak, who joined Goldman as a senior adviser last year, did not sugarcoat it. “We have a situation where global behemoths are swallowing up small businesses or pushing them out,” he told the room. “When it comes to AI, adoption is everything.”

That framing — adoption as survival, not just improvement — is worth paying attention to. When a former head of state and one of the world’s largest investment banks say the same thing, the signal is hard to ignore.

The numbers back up the urgency

Goldman’s own survey, conducted with Babson College in early 2026, paints a clear picture of where small businesses stand:

• 76% of small businesses are already using AI in some form
• 93% of those users report a positive impact on their business
• 84% cite efficiency and productivity as the primary benefit
• But only 14% have fully integrated AI into core operations
• And 73% say they need more training to get real value from the tools they have

That gap between “using AI” and “fully using AI” is where the competitive risk lives. Most businesses have dabbled. Few have built AI into how they actually operate.

A PwC study released days later puts a sharper edge on this: 74% of AI’s economic value is being captured by just 20% of companies. The top performers are not just deploying more tools — they are using AI to reinvent how they grow, generating 7.2 times more AI-driven revenue and efficiency gains than the average firm.

That gap is widening, not narrowing.

Why this matters for Appalachian businesses

The Goldman summit happened in the UK, but the dynamics are universal. Small businesses everywhere face the same squeeze: larger competitors can afford to experiment with AI at scale, hire specialists, and absorb failures. A three-person plumbing shop or a family-run restaurant cannot.

But the data also shows something encouraging. The businesses that started adopting AI early are not the ones with the biggest budgets. They are the ones who picked a specific pain point — missed calls, scheduling chaos, review management — and automated it.

That is the real lesson from the Goldman survey. The 14% that fully integrated AI did not try to overhaul everything at once. They found the bottleneck that cost them the most time or money and fixed it first.

For Appalachian businesses specifically, those bottlenecks tend to follow a pattern:

• After-hours calls going to voicemail while competitors with AI intake capture the lead
• Manual scheduling and dispatch eating up hours that could be spent on billable work
• Review responses falling behind, pushing the business down in local search
• Content creation getting pushed to “someday” because nobody has time to write

These are exactly the problems AI handles well today — not in theory, but in production, for businesses operating on tight budgets.

What Goldman gets right (and what they miss)

Goldman’s 10,000 Small Businesses program, run in partnership with Oxford’s Saïd Business School, has served over 18,000 businesses across the United States. The program is genuine, and the data from their surveys carries weight.

Their push for AI training aligns with what is happening at the federal level too. The AI for Main Street Act, a bipartisan bill introduced in February, directs the SBA and Small Business Development Centers to provide AI training and resources. Eighty-five percent of Goldman’s survey respondents supported the legislation. Federal programs are expected to launch in late 2026 to early 2027.

But here is what the summit did not address: training alone does not close the gap. Small businesses do not need more webinars about what AI can do. They need tools that work on day one, with pricing that makes sense for a five-person team.

The difference between the 14% fully integrating AI and the other 62% who are dabbling is not knowledge — it is implementation. Knowing that AI can answer your phones is different from having an AI system that actually answers your phones tonight.

What you should do this week

If you have been watching the AI conversation from the sidelines, Goldman’s message is clear: the window for “wait and see” is closing. Here are three concrete steps:

1. Pick one bottleneck. Not three. One. The thing that costs you the most missed revenue or wasted time. For most service businesses, that is after-hours lead capture or scheduling.

2. Try a tool that solves it. Not a general-purpose chatbot — a tool built for your specific problem. AI employees that handle dispatch, reviews, or intake are built for exactly this.

3. Measure for 30 days. Track the calls captured, the time saved, the reviews responded to. If the numbers work, expand. If they don’t, you spent a month and learned something.

The 76% of small businesses already using AI did not start with a strategy deck. They started with a problem.

If you are not sure where to begin, reach out. We work with small businesses across Appalachia to identify the highest-impact AI opportunity for their specific situation — and get it running, not just planned.