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Ed. 22October 19, 2026 · 8-min read· For founders new to AI

I Traced 30 Small-Business AI Statistics to Their Source. 20 Survived.

Twenty matched the primary document. Five were misquoted and five I could not find. The 91% revenue claim comes from a different survey than the one credited.

Every post on small-business AI opens with a number. 58%. 77%. 91%. I used some of them myself, and then I wondered how many I had never checked. So on 19 October 2026 I took 30 statistics from the pages that rank for “small business AI statistics 2026” and opened the document each one points to.

20 of the 30 statistics matched the primary document. 5 were misquoted, meaning the source exists but says something different from the claim. 5 I could not find in the cited source, and I list the reason for each. The full table is below, with every row linked to the document it came from.

Kept 20Misquoted 5Untraceable 5N = 30 statistics from 3 ranking pages, checked 19 Oct 2026.
20 of 30 survived. One in three failed in some way, and every misquote came from the aggregators, not from the original surveys.

What exactly counted?

A statistic counted if it appeared on one of three pages that came back for the query “small business AI statistics 2026” on 19 October 2026 and named a source. The three were Carly’s statistics page, AdAI’s and State of AI for Small Business. I took 30 distinct statistics across them, favouring the ones that appear on more than one page, and I opened the cited primary for each. I used a local web fetch tool and web search to open the pages and the primaries. I left out any statistic that named no source, because there is nothing to trace.

A verdict has one of three meanings. Kept means the primary document states the number, and the population, sample and date I print match it. Misquoted means the primary exists but states something different: a different year, a different population or a different source. Untraceable means I could not find the number in the cited source, or I could not open the source. It does not mean the number is false.

What was measured, and what was deliberately not?

I checked the number against the document. I did not judge whether the survey was good. A statistic can be kept and still be weak, and I flag the obvious cases in the table: vendor surveys, a bank’s own program participants, a convenience sample. I did not re-run any survey, and I did not contact the aggregators or the publishers before publishing.

Which numbers were misquoted?

Five, and they fall into two kinds of mistake. Three credited a number to a survey that does not contain it. Two changed what a number measured, or when it was measured.

The one that matters most is the 91%. It says 91% of small businesses using AI report higher revenue. State of AI for Small Business credits it to the U.S. Chamber of Commerce in 2026. Salesforce’s December 2024 release says “Ninety-one percent of small and medium businesses (SMBs) with artificial intelligence (AI) say it boosts their revenue.” Its survey ran from 3 August to 16 September 2024, covered 3,350 SMB leaders worldwide and counted only firms already using AI. I did not find the figure in the Chamber report pages I read. Next to it sits Intuit’s own number: 43% of U.S. businesses say AI increased their revenue. Those are different populations asked different questions, and a reader who sees 91% with a Chamber label has no way to know.

The 55% is a plain restatement error. Salesforce wrote that 78% of growing SMBs plan to increase their AI investment next year, versus 55% of their declining peers. AdAI prints 55% as the share of declining SMBs that have adopted AI. A plan to spend became a fact about adoption.

The Chamber’s own report gives 58% of small businesses using generative AI in 2025, up from 40% in 2024 and 23% in 2023. State of AI for Small Business credits the Chamber and Teneo with 68% for 2026 and with growth from 36% in 2023. Neither number is in the report. The 68% is Thryv’s figure for firms with 10 to 100 employees.

The last is a date. The SBA says the gap between large and small firms was a factor of 1.8 “six months ago” relative to its September 2025 note, which its own figure places in a window from December 2024 to March 2025. AdAI puts it in February 2024.

Why do the adoption numbers run from 20% to 77%?

Because each survey asks a different question of a different group. The Census Bureau asks a nationally representative sample whether the business used AI in the past two weeks, and gets 19.8%. The Federal Reserve counts a firm if the business or its employees use AI, and gets 46%. The Chamber lets owners self-identify generative AI use, and gets 58%. Goldman Sachs surveys its own program participants and gets 76%. Intuit counts any regular use, including free tools and built-in features, and gets 77%.

Five honest numbers, none wrong, spanning 19.8% to 77%. Government data is the floor and vendor and program surveys are the ceiling. The Census page even notes that it reworded its core question in November 2025, from AI used “in producing goods or services” to AI used “in any business function,” so its own series changed meaning part-way through.

The gap that matters sits underneath all of them. Goldman found only 14% of owners say AI is fully embedded in core operations. The Fed found 7% of AI-using firms have fully integrated it. The SBA found about half of AI-using small firms have put no money into it. Most “use” is one person with a chatbot. I saw the same pattern in my own work, which I wrote up in what AI for my business actually means and the way AI made my workflow slower.

The full table

Thirty statistics, checked 19 October 2026. Each source is linked in its row.
Statistic as publishedPrimary sourceSampleDateVerdict
58% of small businesses use generative AI, up from 40% in 2024 and 23% in 2023U.S. Chamber of Commerce and Teneo, Empowering Small Business (4th ed.)U.S. small businesses, self-identified useAug 2025Kept
82% of small businesses using AI increased their workforce over the past yearU.S. Chamber of Commerce and Teneo, Empowering Small Business (4th ed.)Among AI users onlyAug 2025Kept
77% of U.S. businesses use AI regularly, up from 48% in July 2024Intuit QuickBooks, 2026 AI Impact Report34,000+ owner responses; counts any use, including free tools Vendor survey.Jan 2026 dataKept
78% of U.S. businesses say AI improved their productivityIntuit QuickBooks, 2026 AI Impact ReportSame surveyJan 2026 dataKept
43% of U.S. businesses say AI increased their revenueIntuit QuickBooks, 2026 AI Impact ReportSame survey, all respondentsJan 2026 dataKept
12% of U.S. businesses paid for dedicated AI tools; 86% of 2024 payers still paid in 2025Intuit QuickBooks, 2026 AI Impact ReportObserved payment records, 5.3M QuickBooks businesses in four countries2021 to 2025Kept
19.8% of businesses used AI in the past two weeksU.S. Census Bureau, Business Trends and Outlook SurveyNationally representative, all firm sizes, biweekly Question reworded November 2025.To May 3, 2026Kept
37% of firms with 250+ employees and 32% of firms with 100 to 249 use AI; under 20% of firms with four or fewerU.S. Census Bureau, Business Trends and Outlook SurveySame survey, by firm sizeTo May 3, 2026Kept
Large firms used AI 1.8 times as often as small firms (11.1% vs 6.3%); small firms then reached 8.8%SBA Office of Advocacy, Small Firms Closing InCensus BTOS, about 200,000 businesses every two weeksSep 24, 2025Kept
About half of small firms using AI have made no investment in itSBA Office of Advocacy, Small Firms Closing InCensus BTOS, firms using AISep 24, 2025Kept
76% of small business owners currently use AIGoldman Sachs 10,000 Small Businesses Voices1,256 program participants, Jan 27 to Feb 4, 2026 Participants in the bank’s own program, not a random sample.Mar 17, 2026Kept
Only 14% have AI fully embedded in core operationsGoldman Sachs 10,000 Small Businesses VoicesSame surveyMar 17, 2026Kept
46% of small employer firms say the business or its employees use AI; another 15% plan toFederal Reserve Banks, Small Business Credit Survey6,525 firms with 1 to 499 employees, Sep 3 to Nov 14, 2025, convenience sampleMar 2026Kept
Just 7% of small firms using AI have fully integrated itFederal Reserve Banks, Small Business Credit SurveyAmong AI users, same surveyMar 2026Kept
91% of SMBs with AI say it boosts their revenueSalesforce, Small & Medium Business Trends3,350 SMB leaders worldwide, firms up to 200 employees, Aug 3 to Sep 16, 2024 Global, self-reported, AI users only.Dec 4, 2024Kept
75% of SMBs are at least experimenting with AI; 83% of growing SMBsSalesforce, Small & Medium Business TrendsSame surveyDec 4, 2024Kept
AI use among firms with 10 to 100 employees rose from 47% to 68%Thryv, AI adoption survey (investor release)540 interviews with small business decision-makers, May 2025 Only that size band.Jul 2025Kept
82% of small employers have invested in AI toolsSBE Council, 2026 Small Business Tech Use Survey517 employers with 2 to 99 employees, Feb 17 to 23, 2026, plus or minus 4.4 pointsApr 25, 2026Kept
24% of small employers use AINFIB, Small Business and Technology 2025NFIB members; 21% at firms with single-digit employees I read this figure in CNBC’s and Small Business Trends’ accounts of the report; the AI pages of the PDF were past my read limit.Jun 2025Kept
76% of small businesses are using or exploring AIReimagine Main Street and PayPal, AI on Main StreetAbout 1,000 very small firms (CNBC reports $25,000 to $50,000 in revenue) Using or exploring, which is a different claim from using.2025Kept
Declining SMBs that have adopted AI: 55%Credited to Salesforce, Small & Medium Business TrendsSalesforce says 55% of declining SMBs plan to increase AI investment A plan to invest was restated as adoption. Seen on AdAI.Dec 4, 2024Misquoted
Large firms used AI 1.8 times as often in February 2024; the gap fell to 1.2 times by August 2025Credited to SBA Office of Advocacy, Small Firms Closing InSBA says the 1.8 times figure was "six months ago", from a Dec 2024 to Mar 2025 window Wrong date. I could not find the 1.2 times figure in the pages I read. Seen on AdAI.Sep 24, 2025Misquoted
91% of AI users report revenue increasesCredited to U.S. Chamber of Commerce, 2026The same 91% is in Salesforce’s global Aug to Sep 2024 survey Wrong source. It is not in the Chamber pages I read. Seen on State of AI for Small Business.Dec 4, 2024Misquoted
Small businesses regularly using AI: 68%Credited to U.S. Chamber of Commerce and Teneo, 2026The Chamber report says 58%, published Aug 2025 68% is the Thryv figure for firms with 10 to 100 employees. Seen on State of AI for Small Business.Aug 2025Misquoted
Adoption grew from 36% in 2023 to about 68% to 89% in 2026Credited to U.S. Chamber of Commerce, 2023 vs 2026The Chamber report says 23% in 2023 and 58% in 2025 Neither endpoint matches the report. Seen on State of AI for Small Business.Aug 2025Misquoted
82% of businesses with under five employees say AI does not apply to themCredited to ThryvNot in the release text I could read; the page blocked my fetch tool on a second copy Seen on AdAI.Jul 2025Untraceable
5.8% of businesses with one to four employees use AICredited to SBA, Census BTOS 2025The SBA spotlight prints no 5.8% in the pages I read Seen on AdAI.Sep 24, 2025Untraceable
71% of small businesses plan to increase AI investment next yearCredited to Salesforce, Small & Medium Business TrendsThe release gives 78% of growing and 55% of declining SMBs, not 71% overall The full report returned 403 to me. Seen on Carly.Dec 4, 2024Untraceable
90% of SMBs with AI say it makes operations more efficientCredited to Salesforce, Small & Medium Business TrendsNot in the release text The full report returned 403 to me. Seen on Carly.Dec 4, 2024Untraceable
34% of SMBs have fully implemented AICredited to Salesforce, Small & Medium Business TrendsNot in the release text The full report returned 403 to me. Seen on Carly.Dec 4, 2024Untraceable

The limits, plainly

Thirty statistics from three pages is a sample of one afternoon of search results, not a census of the genre. I read the Chamber report’s first 15 pages of 96 and the SBA spotlight’s first 3 of 8, so a number I call missing could sit further in. Salesforce’s full report and Thryv’s release page would not open for me, which is the whole reason three rows say untraceable and not misquoted. Search results change, and so do the pages I checked. If a publisher shows me I read a source wrong, I will correct the row and say so on this page. I sell AI consulting, so I gain when people take AI seriously. Read the table with that in mind.

What would I cite?

Name the survey, the year and the population every time. “The Census Bureau found 19.8% of businesses used AI in the past two weeks as of May 2026” is a sentence that survives checking. “Studies show 77% of small businesses use AI” is not, because it hides that the 77% counts any use, including free tools, and comes from the company that sells QuickBooks.

If you are about to buy AI work because a statistic made it feel urgent, trace that number first. I run the same kind of check before I trust any tool, and I wrote up the steps in the checklist I run before I trust the next automation. The reason I do it is in why I stopped trusting eval scores. A confident number with no sample behind it is the same failure in a different costume. If you want that checking built into a decision, that is part of my AI consulting work.

This is a field note, not a case study. If it maps to a problem you’re staring at, bring the actual problem.

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