Generative AI tools have triggered a new era of artificial intelligence, and small businesses are no longer watching from the sidelines. Research shows that adoption has moved from curiosity to operational habit for a growing share of small teams – though the numbers still vary widely depending on who you ask and what they mean by "using AI."
This roundup compiles verified small-business AI adoption statistics from primary sources: the U.S. Census Bureau, the U.S. Chamber of Commerce, Salesforce, Thryv, McKinsey, Goldman Sachs, and Deloitte.
Why the numbers vary across reports
Before getting into the statistics, it's worth understanding why small business AI adoption statistics look so different across different research.
One survey puts adoption at 8.8%. Another puts it at 58%. Both are real figures from credible sources. They're measuring different things.
The U.S. Census Bureau's Business Trends and Outlook Survey (BTOS) asks whether businesses use AI to produce goods or services – a strict, production-based definition. The U.S. Chamber of Commerce asks whether business owners use generative AI tools, including tools like ChatGPT for writing, scheduling, and customer communication. Salesforce surveys global SMB leaders, weighted toward growing companies. Thryv surveys its own audience of small business decision-makers.
None of these surveys are wrong. But understanding the business landscape each one captures is essential before quoting any figure. The sections below note the source and methodology for each statistic.
Adoption rates: what the data shows
Government data – the strictest definition
- 8.8% of small businesses (under 250 employees) reported using AI in their production of goods or services as of August 2025, up from 6.3% six months earlier. For all businesses, the BTOS put AI use at 17.3% when broadened to include any business function. (U.S. Census Bureau BTOS / SBA Office of Advocacy, September 2025)
- The small-large firm gap is narrowing. Large enterprises used AI at 1.8 times the rate of small firms in early 2024; by mid-2025, small businesses adopted AI at a faster rate while large-firm adoption had plateaued – a reversal of the typical pattern for new technology. (SBA Office of Advocacy, September 2025)
- The smallest firms (1-4 employees) have shown the second-highest AI use rate in recent BTOS data, suggesting that solo operators and micro-businesses are adopting at a pace that exceeds expectations. (U.S. Census Bureau BTOS analysis, December 2024)
Takeaway: Census data represents the most conservative and rigorous estimate of how small businesses use AI directly in their operations. It deliberately excludes businesses that access AI indirectly through software platforms – which means the true rate of AI exposure is likely higher than these figures show.
Broad self-reported surveys
- 58% of small businesses used generative AI in 2025, up from 40% in 2024 and 23% in 2023. The Empowering Small Business report calls this the fastest technology uptake the Chamber has tracked since the advent of social media. (U.S. Chamber of Commerce, August 2025)
- More than half of SMBs are actively exploring or testing AI tools, and growing businesses lead with 83% at least experimenting with AI. More than half of those actively investing report AI as central to their competitive edge against larger rivals. (Salesforce SMB Trends Report, December 2024)
- 55% of small businesses used AI in 2025 – up from 39% in 2024, a 41% year-over-year increase. Among companies with 10–100 employees, adoption jumped from 47% to 68%. (Thryv, July 2025)
- 39% of small businesses were already using AI applications in 2024, up from 26% the year before. The share of SMEs using generative AI rose from 18% to 26% across the same period, with generative tools accounting for the majority of that growth. (Forbes / SMB Group, 2024)
Takeaway: Government data captures conservative, production-use AI in the high single digits. Broader self-reported surveys consistently land between 55% and 75%, depending on how the question is framed and who is sampled. Both types of data tell a true story – about different populations and different definitions of "using AI."
How small businesses use AI in daily operations
- 63% of AI-using small businesses use it as part of their AI daily workflows, meaning it has become embedded in regular operations rather than used occasionally. (Thryv, July 2025)
- 62% of SMBs use AI for data analysis tasks – the most common use case, driven by the measurable ROI of faster reporting and forecasting. (Thryv, July 2025)
- 55% use it for content generation, including emails, social posts, marketing copy, and product descriptions. (Thryv, July 2025)
- 54% of small businesses use AI marketing tools, with another 27% planning adoption within the next 12 months, making marketing the fastest entry point for AI in small firms. (U.S. Chamber of Commerce, August 2025)
- Generative AI chatbots have become the second most-used technology tool among small businesses, behind only search engines, and ahead of social media
- 46% use AI-powered customer engagement tools such as chatbots and automated response systems. (Thryv, July 2025)
- platforms for the first time. This reflects how clearly small businesses recognize AI as a practical operational resource rather than an experimental technology. (Salesforce SMB Trends Report, December 2024)
- 19% of SMBs now use AI specifically for recruitment and talent sourcing, saving time on candidate screening, job description writing, and initial outreach. (Thryv, July 2025)
Takeaway: AI adoption in small businesses is concentrated in a handful of use cases: analysis, content, customer engagement, and marketing. These are also the areas with the lowest barrier to entry – no custom implementation, no technical team required. The pattern suggests that ease of adoption is the primary driver of where AI lands first in small teams.
Supply chain and operations
- 64% of supply chain leaders consider AI capabilities important when evaluating new technology investments. Demand forecasting leads planned use cases, with 91% of those firms planning to use AI for that function within two years. (ABI Research, October 2025)
- 61% of supply chain decision-makers cite poor data quality and system integration as the primary barriers to successful AI implementation – a challenge that disproportionately affects smaller operations without dedicated IT resources. (BCG / allaboutai.com, 2025)
- McKinsey estimates that integrating AI into supply chain operations can reduce logistics costs by 5–20%. Small businesses are increasingly accessing these benefits through affordable SaaS-based AI solutions rather than the custom-built systems that larger companies use. (McKinsey, via EASE Logistics, 2025)
Takeaway: Supply chain AI presents a real opportunity for small businesses, particularly in demand forecasting and inventory management. The barrier is rarely cost; it's data quality. Small businesses that invest in cleaner operational data now will find AI tools significantly easier to deploy in 12–18 months.
Business impact and performance
Revenue and growth
- 91% of SMBs using AI report that it boosts their revenue, and 90% say it makes their operations more efficient. Small business leaders who invest in AI are nearly twice as likely to report year-over-year growth compared to non-adopters. (Salesforce SMB Trends Report, December 2024)
- 73% of small businesses using AI say it has improved their competitiveness. Many small business owners describe it as a game changer for competing with larger, better-resourced rivals – the first technology in a decade that genuinely levels the playing field. (U.S. Chamber of Commerce, August 2025)
- 84% of SMBs report a positive impact from AI adoption, even at basic usage levels. Early adopters who moved quickly are now reporting compounding advantages in speed, customer experience, and cost structure. (Forbes / SMB Group, 2024)
Time and cost savings
- 58% of small business AI users save more than 20 hours per month. For a company running with a small workforce, that's roughly half a full-time equivalent employee's capacity redirected toward higher-value work. (Thryv, July 2025)
- AI can reduce operating costs by up to 30% in small businesses when applied to automation and process improvement. Efficiency gains are most pronounced in businesses that identify their highest-volume manual tasks first. (Forbes / SMB Group, 2024)
- Nearly two-thirds of SMBs (66%) report that AI saves their business between $500 and $2,000 per month. Those savings most often get reinvested into marketing and growth initiatives rather than taken as profit. (Thryv, July 2025)
Headcount and jobs
- 82% of AI-using small businesses increased their workforce in the past year, according to the U.S. Chamber's small business report. The data consistently points to AI complementing hiring instead of replacing it, freeing up capacity to focus on growth while headcount expands. (U.S. Chamber of Commerce, August 2025)
- 77% of small businesses say restrictions on AI tools would negatively impact their growth and operations. That level of dependence developing within two to three years of mainstream AI availability is one of the more striking signals in this year's data. (U.S. Chamber of Commerce, August 2025)
Takeaway: The business case for AI among small businesses is no longer theoretical. Revenue impact, time savings, and cost reduction are being reported consistently across independent surveys. The companies reporting the strongest benefits are those that moved past experimentation and invested in implementation, not the ones still running one-off tests.
From pilot programs to production
- 88% of organizations now use AI in at least one business function, yet nearly two-thirds remain in experimental or pilot program mode. Advanced AI tools and scaled implementations are still concentrated in large enterprises. (McKinsey State of AI, 2025)
- Worker access to AI rose by 50% in 2025, and the number of companies with 40% or more of their AI projects in active production was set to double within six months of the survey date. Business leaders who moved early are now widening the gap between themselves and those still testing AI. (Deloitte State of AI in the Enterprise, 2026)
- 80% of SMBs that use AI believe it is now commonly used among their peers in commerce — but only a third of non-users agree with that assessment. Some small businesses may be significantly underestimating how quickly their competitors are building an advantage. (Salesforce SMB Trends Report, December 2024)
- Only 8% of businesses reach advanced AI adoption levels. Most remain in early or experimental stages, investing in one or two use cases without a broader strategy for how AI fits into the business longer term. (Forbes / SMB Group, 2024)
- 51% of small business owners describe themselves as "AI explorers" — testing AI tools without full commitment, still deciding whether the benefits justify deeper investment. (Thryv, July 2025)
Takeaway: The enterprise advantage in AI is fading. The real difference now is execution – some teams are using it daily, others are still experimenting. For business leaders still in pilot mode, the question worth asking is: what's the specific blocker, and how much is that delay costing?
Barriers and concerns
Skills and confidence gaps
- The skills gap remains the single biggest barrier to AI adoption, cited by 63% of employers globally as the primary challenge to business transformation. For small businesses, this problem is amplified by limited access to education and training resources. (World Economic Forum Future of Jobs Report, 2025)
- Among the smallest firms (under 5 employees), 82% cite a belief that AI isn't applicable to their specific business as the main reason for non-adoption — a figure that drops significantly as business size increases, pointing to an awareness and education gap, not a genuine incompatibility problem. (SBA Office of Advocacy, September 2025)
- Only 27% of small businesses feel confident about adopting AI effectively, compared to 82% of mid-sized firms. Confidence correlates strongly with company size and access to internal technical expertise. (Forbes / SMB Group, 2024)
- 12% of SMEs invest in AI-related training, despite 29% citing lack of training as their biggest obstacle. Awareness comes quickly – action takes much longer.(OECD SME Outlook, 2024)
Regulation and data privacy
- 65% of small businesses express concern that new AI regulations could harm their operations – up 11 percentage points from the previous year. 95% expect compliance challenges from proposed AI laws, with uncertainty about requirements cited as the main friction. (U.S. Chamber of Commerce, August 2025)
- Data privacy is the most consistently cited concern, particularly around how customer data is handled when processed through AI models. Small businesses with fewer resources to dedicate to compliance research show the highest anxiety on this issue. (U.S. Chamber of Commerce, August 2025)
- Concern about data security fell 40% year-over-year in Thryv's survey as hands-on experience with AI tools replaced abstract fear. Businesses that started using AI – even cautiously – consistently report lower concern levels than those that haven't tried it yet. (Thryv, July 2025)
- Only 18% of SMBs say they have no plans to adopt AI. Opposition is now a minority position – though among that group, concerns about regulation, data privacy, and cost are the most commonly cited reasons. (Thryv, July 2025)
Takeaway: The biggest challenges to adoption in small businesses are skills, confidence, and regulatory uncertainty – in that order. Tools are broadly accessible and affordable. What's stopping most small businesses from going further isn't access to AI solutions; it's internal capability to deploy and trust them.
What small business owners plan to do next
- 96% of small businesses plan to adopt at least one emerging technology, including AI, in the years ahead. The question has shifted from "whether to adopt" to "which tools to prioritize and how to build the internal capabilities to make it work." (U.S. Chamber of Commerce, August 2025)
- 78% of small business owners are optimistic about the trajectory of their business, and 74% have plans to grow within the next year. Small business leaders surveyed identified AI as a top resource for that growth, particularly for automating administrative tasks and improving customer communication. (Goldman Sachs 10,000 Small Businesses Survey, October 2025)
- Small businesses plan to focus their adoption on productivity (save time, reduce manual work), customer engagement, and marketing automation – the same areas where early adopters have reported the clearest and most measurable returns. (U.S. Chamber of Commerce, 2025 / Thryv, 2025)
- 64% of small business owners are already using or plan to use AI within two years – a figure that has remained consistently higher than current adoption rates, suggesting intent has been outpacing action. (Forbes / SMB Group, 2024)
- Explore AI as a business resource is increasingly built into planning cycles at growing small businesses. Instead treating AI technology as a one-time implementation, the businesses reporting the strongest results are those that treat it as a continuous capability to develop. (Salesforce SMB Trends Report, December 2024)
Takeaway: Optimism about AI among small business owners is at a high – but intent still outpaces action for many. The pattern ahead is likely rapid change, with businesses that have already built working AI workflows extending their advantage while the gap between explorers and operators widens. For small businesses still in planning mode, the window to build trust in these tools before competitors do is narrowing.
Conclusion
The data on small business AI adoption in 2026 tells a consistent story, even across sources that report very different numbers: artificial intelligence has become a mainstream business tool in a short amount of time, adoption is accelerating, the businesses using it are reporting real financial benefits, and the main barriers are no longer about access – they're about skills, confidence, and clarity about where to start.
The survey reveals that most small business owners believe AI is important to their future. Fewer have moved from belief to structured implementation. The real opportunity for small businesses lies in turning AI from an idea into something that works in day-to-day operations.
