48 Small Business AI Adoption Statistics for 2026 (And Why They Don’t All Agree)


Last updated: July 2026

Ask five different sources what percentage of small businesses use AI, and you’ll get five different answers, anywhere from single digits to nearly 90%. That’s not sloppy research. It’s five surveys measuring five different things, and almost nobody bothers to say so before quoting the number that sounds best.

So before we get to the data: every stat below is dated and sourced, and where two credible reports disagree, we’ve said so rather than pretending there’s one clean number. If you’re trying to figure out where your business actually stands relative to your peers, that distinction matters more than the headline percentage.

The Short Answer

  • Somewhere between 17% and 20% of small businesses are using AI in actual production operations, per U.S. Census Bureau data from May 2026.
  • Somewhere between 58% and 89%, depending on the survey, have used a generative AI tool like ChatGPT for at least one task.
  • 91% of the businesses that do use AI report a revenue increase — but only 14% have fully integrated it into core operations.

Both of those things are true at once. That’s the story this page tells.

How Many Small Businesses Actually Use AI in 2026?

The gap between “AI adoption” headlines usually comes down to definition:

  • The U.S. Census Bureau’s Business Trends and Outlook Survey (BTOS) asks whether a business uses AI to produce its goods or services — a strict, production-level bar. By that measure, adoption sat in the high single digits as recently as 2023 and had climbed to roughly 17–20% by May 2026.
  • The JPMorgan Chase Institute, using transaction-based data rather than self-reporting, found the small business AI adopter base expanded from 5.2% in 2023 to 17.7% by the end of 2025 — a figure that lines up closely with the Census numbers.
  • Broader surveys that ask about any generative AI use — drafting an email with ChatGPT counts — report far higher numbers. Thryv’s April 2026 survey of 561 small business owners found AI adoption at 66%, up from 55% a year earlier.
  • The U.S. Chamber of Commerce’s 2026 Small Business Survey put generative AI use at 89%, up from 36% in 2023. An earlier 2025 wave of Chamber data had already shown a climb from 23% (2023) to 58% (2025) — consistent with the trajectory, if not the exact figure, reported a year later.

The practical takeaway: if you’re citing an adoption rate, cite the definition along with it. “58% of small businesses use AI” and “18% of small businesses use AI in production” can both be accurate descriptions of the same market.

What Are Small Businesses Actually Using AI For?

  • 41% of small businesses use AI for marketing and content creation — the single most common use case (HubSpot State of Marketing, 2025).
  • 29% use it for customer service, including chatbots and automated ticket routing (Salesforce Small Business Trends, 2025).
  • 24% use it for data analysis and business intelligence, including sales forecasting and inventory optimization (Deloitte Small Business Survey, 2025).
  • Among businesses already using AI, the 2026 NFIB survey found marketing content creation the top use case at 68% — a higher share than the HubSpot figure above, another reminder that survey population and phrasing move these numbers.
  • 42% of small businesses use generative AI chatbots specifically, though state-level adoption ranges from 13% to 71% (U.S. Chamber of Commerce, 2025).

Among the AI tools small businesses adopt, category-specific usage breaks down as:

  • 24% use AI accounting tools such as QuickBooks AI or Xero (Intuit, 2025).
  • 19% use AI customer service tools such as Zendesk AI or Intercom Fin (Zendesk, 2026).
  • 14% use AI design tools such as Canva Magic or Midjourney (Canva, 2025).
  • 11% use AI coding or development tools such as GitHub Copilot (GitHub, 2025).

Is AI Actually Paying Off for Small Businesses?

  • 91% of small businesses using AI report a measurable revenue increase (Salesforce, 2025).
  • 90% say AI has made their operations more efficient (Salesforce, 2025).
  • Small businesses using AI are 2.3x more likely to report revenue growth than those that don’t (U.S. Chamber of Commerce, 2026).
  • 70% of Thryv survey respondents said AI contributed to increased revenue over the past 12 months.
  • 92% of AI users in the same survey said the technology saves them time, with 79% expecting to reclaim between 11 and 60 hours per month.
  • 61% estimate AI will save their business between $500 and $2,000 per month (Thryv, April 2026).
  • The average small business saves 5.6 hours per week using AI tools; owners and managers specifically save more than 7 hours per week (Business.com, 2026).
  • In a Goldman Sachs survey of 1,256 small business owners conducted with Babson College and David Binder Research (January–February 2026), 93% reported a positive business impact from AI but only 14% said they’d fully integrated it into core operations.

That last gap — strong reported impact, low structural integration — shows up again and again in the barrier data below.

What’s Actually Holding Small Businesses Back?

  • 77% of small businesses that haven’t adopted AI say they see no applicable use case for their business (SBA Office of Advocacy, 2025). Among businesses with fewer than five employees specifically, that figure rises to 82%.
  • 45% of small business AI users cite a lack of technical expertise as a challenge, and 47% say it’s difficult to choose the right tools (Goldman Sachs, 2026).
  • 70% of small business owners say they need more, or significantly more, training to use AI productively (Thryv, April 2026) — despite 86% describing themselves as comfortable to extremely comfortable using it.
  • 77% of small businesses using AI have no formal prompting strategy or system in place (Aufsite Research, 2026).
  • Only 23% of small businesses using AI have received any formal training on the tools they’re using.
  • Roughly 77% of small businesses using AI have no written AI policy, leaving them exposed to data leaks and unchecked AI-generated output in client-facing work.

How Much Are Small Businesses Spending on AI?

  • 53% of small businesses now spend at least $100 per month on AI tools (Thryv, April 2026).
  • Median AI spending per firm actually peaked around $80 per month in 2022 and had fallen to roughly $30 per month by 2025 (JPMorgan Chase Institute) not because established users are spending less, but because the pool of new, lower-spending adopters using $20–$30/month entry-tier tools has grown so fast it pulls the average down.
  • That entry-level tier now makes up roughly 63% of the small business AI user base, up sharply since 2022, while the highest-spending tier has shrunk to about 16%.
  • The overall small business AI adopter base more than tripled between 2023 and 2025 (JPMorgan Chase Institute, 2026).

Which Businesses Are Leading — and Which Are Lagging?

  • Adoption follows a U-shaped curve by firm size: the very smallest businesses, those with fewer than five employees, actually over-index on AI use compared to mid-sized small businesses (U.S. Census Bureau / SBA, 2025). For a solo operator, AI functions less like a tool and more like a first hire.
  • By industry: 36% of small real estate businesses use AI (National Association of Realtors, 2025), 33% of small education and training businesses (National Center for Education Statistics, 2025), and 31% of small construction businesses — the lowest adoption rate of any major sector, largely due to field-based, low-digital-maturity work (Associated General Contractors, 2025).
  • The gap between large-enterprise and small-business AI adoption has narrowed from roughly 1.8x to 1.2x over the course of 2025, with the smallest firms actually over-indexing on certain use cases like marketing automation (SBA Office of Advocacy, 2025).

Where Is This Headed?

  • New businesses founded in 2025 reached 10% AI adoption within just six months — compared to 77 months for businesses founded in 2019. That’s roughly a 13-fold acceleration in how quickly new companies fold AI into operations (JPMorgan Chase Institute, 2026).
  • The OECD projects a 19.34% compound annual growth rate for SME AI adoption through 2031.
  • Gartner projects that 60% of commercial research queries will be AI-assisted by the end of 2026 — a shift that affects how small businesses need to think about discoverability, not just tool adoption.
  • 96% of small business owners say they plan to adopt emerging technologies including AI (U.S. Chamber of Commerce, 2026).
  • 71% plan to increase their AI investment over the next year (Salesforce, 2025), and 53% of small businesses not yet using AI say they’re considering it (Intuit QuickBooks, 2025).

The holdouts are shrinking. The gap that matters in 2026 isn’t between businesses that use AI and businesses that don’t, it’s between the ones treating it as a free-tier experiment and the ones actually building it into how they operate.

Sources

Methodology note: figures above are drawn directly from primary research reports rather than from other roundups, and each stat is dated to its source’s survey period. Where two reputable sources report different numbers for what appears to be the same question, both are presented rather than collapsed into a single figure.



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It kind of makes no sense that literally every new car sold these days can go twice the regular speed limit in most countries. Even a Toyota Prius tops out at 115 mph, and reaching that speed in 99% of the world can easily land you in jail, or at least with a large dent in your bank account from a truly massive speeding ticket. Meanwhile, supercars can easily blow a Prius out of the water — for example, the Chevrolet Corvette ZR1 can hit speeds more than double that.

Either way, top speeds are merely hypothetical and completely off-limits for 99% of the world. Yet no matter if you own a ZR1 or a Prius and you want to test that top speed claim, there are public roads where you can try. The most obvious choice is the German Autobahn, which has certain sections with no speed limits. This means that, if it is safe to do so, you can theoretically chase that top speed.

Besides the German Autobahn, the roadways on the Isle of Man — known for the Isle of Man TT — also has sections with no speed limits. About a decade and a bit ago, you were also able to max out your car on certain locations of the Australian Northern Territory, specifically the Stuart Highway. However, speed limits were reinstated in the interest of public safety in 2016. Besides the Isle and the Autobahn, if you want to max out your car, public roads simply aren’t an option.

Limitations and dangers on no-speed-limit roads

Although reaching the top speed on the Autobahn is possible, it is not as simple as merging and hitting the gas. For example, the A9 near Bayreuth, A20 in Mecklenburg, and parts of A24 between Berlin and Hamburg are without speed limits in certain sections. In total, around 70% of German autobahns don’t have a capped speed limit. Even on those unrestricted sections, German law sets a recommended speed of 130 km/h called the Richtgeschwindigkeit.

Exceeding it is not a criminal offense, but if you are involved in an accident above that threshold, it can affect your legal liability for the incident. German law also prohibits driving at any speed where your stopping distance exceeds your line of sight, which effectively puts a practical ceiling on how fast you can legally go based on road conditions. The AutoTopNL YouTube channel serves as a good educational basis for how one ought to approach high speed driving on the autobahn.

If Germany is too far away and you want a more rural experience while driving at ten-tenths, the Isle of Man is your only other option. Outside of towns you can press on, but keep in mind that these roads are much narrower and less protected, leaving no room for error. The best example is likely the Isle of Man’s TT Race, which the BBC called “the world’s most dangerous road race.” The Isle of Man TT and the Manx Grand Prix, held on the same roads that you can max out your car on, are races so dangerous that they have taken a collective 270 lives since inception.

Where do automakers actually test top speed claims?

For decades past, we’ve seen automakers advertising hypercars going over 250 mph, but not many people know the places where these tests are commonly carried out. For example, the fastest street-legal car on record, the Bugatti Chiron Super Sport 300+, reached its top speed of more than 300 mph on the Volkswagen Ehra-Lessien test track in 2019. This facility has 60 miles of private roads with a single straight that is 5.4 miles long.

There is also the Papenburg test facility, which features a 7.6-mile-long oval track banked at 50 degrees. This is where the Yangwang U9 Xtreme set the all-time production car top speed record at 308 mph in 2025, and where in 2023 the Rimac Nevera drove 171 mph backwards — not something you can do on the German autobahn. Italy’s Nardò Ring is a 7.8-mile circular track built by Fiat in 1975 and now owned by Porsche. It is so large it is visible from space, and so well-banked that a car traveling at 149 mph in the outer lane doesn’t need to be steered and can simply be driven straight. This last test track is perhaps best known from the 2012 Top Gear episode where Jeremy Clarkson, Richard Hammond, and James May pushed a Lamborghini Aventador, a Noble M600, and a McLaren MP4-12C to their limits. 

America’s equivalent is the former Space Shuttle Landing Facility at Kennedy Space Center, now operating as the Johnny Böhmer Proving Grounds. The 3.2-mile runway is where the SSC Tuatara hit 295 mph in 2022. Although these aren’t typically open for public joyriding, they are a few of a very limited number of places where top speeds are actually tested.





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