Small Business AI Adoption Is About 1 in 4, Not 3 in 4: 23.8% of Firms Use AI, Census Data Shows
Small business AI adoption is real but far lower than the surveys that dominate search results suggest. In the Census Bureau’s Business Trends and Outlook Survey, 23.8% of US employer businesses said they used AI in any business function in the two weeks before Sep 21, 2026, and 23.9% of firms with 1 to 4 employees did. Private surveys put the figure at 58% to 89%.
One question, eight answers
Headline AI adoption numbers from the pages that rank for this search, against the Census Bureau’s probability-sample rate (red). The two sources that cover a broad population, Census and JPMorganChase payment records, sit in the same range, and for the end of 2025 they match almost exactly (17.7% and 17.8%). The opt-in surveys sit far above both.
We downloaded every Business Trends and Outlook Survey (BTOS) release of the Census Bureau’s AI questions since September 2023: national, firm size, sector, state, and sector by firm size, plus the 2026 AI supplement. The survey goes to about 200,000 businesses every two weeks, drawn from an annual probability sample of about 1.2 million employer businesses. Below we test three things: how big the gap between small and large firms really is, whether it is closing, and why private surveys report numbers two to four times higher.
What the Census question actually measures
The BTOS asks: “In the last two weeks, did this business use Artificial Intelligence (AI) in any of its business functions?” with machine learning, natural language processing, virtual agents and voice recognition as examples. Until the November 17, 2025 collection it asked about AI used “in producing goods or services”. The Census Bureau changed the wording after cognitive testing found owners answering no while using AI for hiring, accounting or project management, and it started a new time series because the level jumped. The last estimate on the old wording was 10.0% (Sep 22 to Oct 5, 2025); the first on the new wording was 17.3% (Nov 17 to Nov 30, 2025). That 7.3 point jump is mostly the wording: in the last quarter of old-wording data, the rate was rising about 0.07 points per survey, so six weeks of normal growth would explain well under 1 point of it. We never splice the two series together.
The answer is a share of businesses, not of workers, and it covers only the past two weeks. A firm that tried ChatGPT once in the spring and has not touched it since counts as a no.
AI use by firm size, 2023 to 2026
1 to 4 employees 250 or more other size classes all businesses
Share of employer businesses answering yes, three-survey trailing average for each size class; the dashed line is the published biweekly rate for all businesses. No data were collected for October 6 to November 16, 2025 (federal funding lapse). Source: U.S. Census Bureau BTOS.
The biggest firms use AI most: 39.5% of businesses with 250 or more employees in the six surveys from Jul 13 to Oct 4, 2026, against 22.8% of businesses with 1 to 4 employees. But the smallest firms are not the laggards. Businesses with 1 to 4 employees use AI at least as often as those with 5 to 49 employees (20.9% for 5 to 9, 21.6% for 10 to 19, 23.2% for 20 to 49). The rate only climbs clearly from 50 employees up.
The size gap is a back-office gap
The old wording tells a different story. When Census asked about AI used “in producing goods or services”, firms with 1 to 4 employees (10.5% in the six surveys to October 5, 2025) were almost level with firms of 250 or more (11.8%) and ahead of every class in between. The gap between the smallest and largest firms was just 0.4 points in late 2023 and 1.4 points in mid-2025. It opened to 12.9 points only when the question widened to “any of its business functions”. The 2026 AI supplement shows where that difference sits. In delivering their own services or products, small and large firms use AI at similar rates (7.0% of 1 to 4 employee firms, 8.9% of 250+ firms), and the same holds for research and development (11.9% and 11.9%). The gap is in internal functions: information technology (11.2% against 25.9%), finance and accounting (5.9% against 20.5%) and human resources (2.9% against 13.6%). Large firms have those departments; a business with one to four people mostly does not.
Is the gap closing?
Not in percentage points. Between the first six surveys on the new wording (Nov 17, 2025 to Feb 8, 2026) and the latest six, firms with 1 to 4 employees gained 5.1 points and firms with 250 or more gained 9.0. The gap widened from 12.9 to 16.8 points. The 3.9 point widening has a standard error of about 1.3, so it is statistically significant at the 90% level. In relative terms nothing changed: both groups grew by about 29%, and the largest firms remain 1.7 times as likely to use AI as the smallest. Gains rise with firm size across the table below.
| Employees | Old wording, Sep to Dec 2023 | Old wording, Jul to Oct 2025 | New wording, Nov 17, 2025 to Feb 8, 2026 | New wording, Jul 13 to Oct 4 2026 | Change, new wording (points) | Expect to use in next 6 months (latest) |
|---|---|---|---|---|---|---|
| 1 to 4 | 4.5% | 10.5% | 17.7% | 22.8% | +5.1 | 26.1% |
| 5 to 9 | 3.2% | 8.0% | 17.1% | 20.9% | +3.8 | 24.9% |
| 10 to 19 | 3.3% | 7.6% | 17.2% | 21.6% | +4.3 | 25.4% |
| 20 to 49 | 2.9% | 7.3% | 18.5% | 23.2% | +4.7 | 28.1% |
| 50 to 99 | 2.9% | 7.7% | 21.3% | 27.8% | +6.5 | 33.1% |
| 100 to 249 | 3.4% | 8.8% | 25.4% | 33.2% | +7.8 | 38.9% |
| 250+ | 5.0% | 11.8% | 30.5% | 39.5% | +9.0 | 46.7% |
| All businesses | 4.0% | 9.5% | 17.8% | 22.8% | +4.9 | 26.4% |
Each cell is the simple mean of six published biweekly estimates. The 250+ class has about 450 to 500 responses per survey, so its biweekly estimates swing by several points; averaging six surveys narrows that.
Which sectors lead
use AI now (latest six surveys) ◆ expect to use in six months ○ use AI, Nov 17, 2025 to Feb 8, 2026
Sector separates AI users more sharply than size. Information (45.9%), professional, scientific, technical services (41.9%) and finance and insurance (38.3%) lead; accommodation and food services (9.3%) trails among the large sectors. The biggest gains since the new question began were in information (37.7% to 45.9%) and manufacturing (12.4% to 20.6%); in relative terms construction (9.2% to 15.2%) and manufacturing grew fastest, each by about 66%. The sectors leading on AI are also the heaviest IT spenders: our analysis of IT spending by industry shows information and finance putting the largest shares of output into IT.
Size within sector
The heatmap answers the question most small business owners actually have: how do firms like mine compare? A professional services firm with 1 to 4 employees (40.7%) uses AI at a higher rate than a manufacturer (36.4%) or a health care organization (31.1%) with 250 or more employees. In construction, size matters a lot more: 13.7% of 1 to 4 employee firms against 46.6% of the largest.
| Sector | 1 to 4 | 5 to 9 | 10 to 19 | 20 to 49 | 50 to 99 | 100 to 249 | 250+ |
|---|---|---|---|---|---|---|---|
| Information | 44 | 45 | 50 | 53 | 60 | 65 | 72 |
| Professional, scientific, technical services | 41 | 43 | 45 | 47 | 55 | 58 | 55 |
| Finance and insurance | 36 | 45 | 49 | 40 | 51 | 51 | 59 |
| Educational services | 37 | 30 | 31 | 37 | 35 | 49 | 53 |
| Real estate and rental | 29 | 28 | 30 | 31 | 35 | 40 | 65 |
| Health care and social assistance | 23 | 23 | 25 | 26 | 26 | 27 | 31 |
| Administrative and support services | 20 | 19 | 22 | 24 | 28 | 32 | 36 |
| Manufacturing | 19 | 19 | 19 | 20 | 30 | 35 | 36 |
| Wholesale trade | 17 | 19 | 21 | 26 | 30 | 34 | 41 |
| Arts, entertainment, recreation | 17 | 24 | 22 | 21 | 23 | 26 | 49 |
| Retail trade | 15 | 15 | 17 | 21 | 33 | 32 | 39 |
| Construction | 14 | 15 | 18 | 22 | 24 | 34 | 47 |
| Other services | 12 | 13 | 18 | 21 | 23 | S | S |
| Transportation and warehousing | 9 | 12 | 15 | 18 | 29 | 31 | S |
| Accommodation and food services | 9 | 7 | 9 | 10 | 13 | 20 | 17 |
Percent of businesses using AI, by sector and employees, mean of the six latest biweekly estimates (Jul 13 to Oct 4, 2026). S: suppressed by Census in three or more of the six surveys. Sectors suppressed at every size (utilities, mining, management of companies) are omitted.
| Sector | Use AI now | Nov 17, 2025 to Feb 8, 2026 | Change (points) | Expect to use in 6 months | 1 to 4 employees | 250+ employees |
|---|---|---|---|---|---|---|
| Information | 45.9% | 37.7% | +8.3 | 49.4% | 43.9% | 72.3% |
| Professional, scientific, technical services | 41.9% | 34.2% | +7.7 | 46.5% | 40.7% | 55.5% |
| Finance and insurance | 38.3% | 30.4% | +7.9 | 45.1% | 35.6% | 59.3% |
| Educational services | 35.4% | 30.6% | +4.7 | 39.5% | 36.9% | 53.3% |
| Real estate and rental | 29.1% | 23.5% | +5.6 | 33.8% | 29.1% | 64.5% |
| Management of companies | 27.7% | S | 27.4% | S | S | |
| Health care and social assistance | 24.1% | 20.7% | +3.4 | 28.7% | 23.4% | 31.1% |
| Administrative and support services | 21.0% | 16.6% | +4.4 | 25.1% | 20.3% | 35.9% |
| Manufacturing | 20.6% | 12.4% | +8.2 | 24.3% | 19.4% | 36.4% |
| Wholesale trade | 19.5% | 13.6% | +6.0 | 23.5% | 17.3% | 40.7% |
| Arts, entertainment, recreation | 18.8% | 17.5% | +1.3 | 22.3% | 16.6% | 49.0% |
| Utilities | 16.0% | 13.4% | +2.6 | 19.6% | S | S |
| Retail trade | 15.8% | 12.6% | +3.2 | 19.1% | 14.8% | 39.1% |
| Construction | 15.2% | 9.2% | +6.1 | 17.4% | 13.7% | 46.6% |
| Other services | 12.8% | 9.8% | +3.0 | 15.0% | 11.6% | S |
| Transportation and warehousing | 10.6% | 7.6% | +3.0 | 13.5% | 8.5% | S |
| Accommodation and food services | 9.3% | 8.0% | +1.3 | 12.2% | 8.8% | 17.0% |
| Mining, oil and gas | 8.3% | 8.5% | -0.3 | 9.1% | S | S |
Sector is the 2-digit NAICS code of the business. Multi-sector companies (Census code XX) are excluded. “Use AI now” is the mean of the six latest biweekly estimates.
AI use by state
District of Columbia (33.6%) has the highest state rate in the latest six surveys and West Virginia (13.2%) the lowest. State estimates are noisy: the typical margin of error on a six-survey average is about ±1.7 points at 90% confidence, so neighboring ranks are usually not different from each other. The spread between the top and bottom of the table is still wide: 2.5 to 1. For comparison, the U.S. Chamber’s 2025 survey reported state rates of small businesses using an AI platform from 31% (West Virginia, which is also last in the Census data) to 77% (Maine).
| # | State | Use AI | 90% MOE |
|---|---|---|---|
| 1 | District of Columbia | 33.6% | ±4.8 |
| 2 | Utah | 30.1% | ±2.2 |
| 3 | Delaware | 28.0% | ±3.2 |
| 4 | Colorado | 27.4% | ±1.2 |
| 5 | Arizona | 26.6% | ±1.6 |
| 6 | Florida | 26.5% | ±0.9 |
| 7 | Washington | 26.2% | ±1.3 |
| 8 | Wyoming | 26.0% | ±3.7 |
| 9 | Georgia | 25.4% | ±1.4 |
| 10 | Nevada | 25.2% | ±1.8 |
| 11 | Minnesota | 24.8% | ±1.7 |
| 12 | Texas | 24.5% | ±0.8 |
| 13 | California | 24.2% | ±0.5 |
| 14 | Virginia | 24.2% | ±1.1 |
| 15 | North Carolina | 23.6% | ±1.1 |
| 16 | Idaho | 23.3% | ±2.4 |
| 17 | Massachusetts | 23.1% | ±1.5 |
| 18 | South Carolina | 23.0% | ±2.0 |
| 19 | Oregon | 22.9% | ±1.6 |
| 20 | South Dakota | 22.4% | ±3.2 |
| 21 | Maryland | 22.3% | ±1.4 |
| 22 | Kentucky | 21.9% | ±1.8 |
| 23 | Rhode Island | 21.5% | ±3.9 |
| 24 | Illinois | 21.5% | ±0.8 |
| 25 | Ohio | 21.4% | ±1.0 |
| 26 | Tennessee | 21.3% | ±1.6 |
| 27 | Michigan | 21.2% | ±1.2 |
| 28 | Montana | 21.2% | ±2.8 |
| 29 | Missouri | 21.1% | ±1.6 |
| 30 | Hawaii | 21.0% | ±3.2 |
| 31 | Kansas | 20.7% | ±2.0 |
| 32 | Arkansas | 20.5% | ±2.4 |
| 33 | New Hampshire | 20.3% | ±2.8 |
| 34 | Nebraska | 20.2% | ±2.2 |
| 35 | Indiana | 20.2% | ±1.6 |
| 36 | Pennsylvania | 19.8% | ±1.0 |
| 37 | New Mexico | 19.7% | ±2.0 |
| 38 | Maine | 19.6% | ±2.5 |
| 39 | Wisconsin | 19.5% | ±1.2 |
| 40 | Connecticut | 19.2% | ±1.7 |
| 41 | Vermont | 19.2% | ±3.1 |
| 42 | Louisiana | 19.0% | ±1.7 |
| 43 | Oklahoma | 19.0% | ±1.7 |
| 44 | New Jersey | 18.7% | ±0.9 |
| 45 | Alabama | 18.7% | ±2.1 |
| 46 | Iowa | 18.6% | ±1.8 |
| 47 | North Dakota | 17.6% | ±3.3 |
| 48 | Alaska | 17.3% | ±3.4 |
| 49 | New York | 17.0% | ±0.6 |
| 50 | Mississippi | 16.0% | ±2.4 |
| 51 | Puerto Rico | 13.5% | ±1.7 |
| 52 | West Virginia | 13.2% | ±2.8 |
Expected use is a good forecast
The BTOS also asks whether the business expects to use AI in the next six months. That number is useful only if it predicts something, so we lined up each survey’s expected-use rate with the actual-use rate 13 surveys (26 weeks) later, within each wording. Across 51 such pairs, actual use landed within 0.9 points of the expectation on average (actual minus expected averaged -0.7 points). In the latest six surveys, 26.4% of businesses expected to use AI in six months, against 22.8% using it; in the most recent survey alone the figures were 27.7% and 23.8%. If that relationship holds, roughly 27% of businesses will be using AI by spring 2027. That is a projection from the survey’s own track record, not a Census forecast.
used AI in the last two weeks share that expected to use AI, plotted six months after it was reported
All employer businesses. Each wording is compared only with itself, so no pair crosses the November 2025 question change. Source: U.S. Census Bureau BTOS.
Why the surveys disagree
Every page in the top results for this search quotes a number. Here is what each one measured, with the sample it reports. We list them to show the range, not to endorse any of them.
| Source | Headline | Sample and method |
|---|---|---|
| U.S. Chamber of Commerce / Teneo | 58% of small businesses say they use generative AI | 3,870 businesses with fewer than 250 employees, online, June 6 to 26, 2025 |
| Goldman Sachs 10,000 Small Businesses Voices | 76% of small businesses currently use AI | 1,256 participants in the Goldman Sachs 10,000 Small Businesses program; Babson College and David Binder Research, Jan 27 to Feb 4, 2026 |
| ICIC | Nearly 89% of surveyed small businesses use AI tools | More than 3,700 small business owners plus five focus groups |
| Digital Applied | 68% of small businesses use AI regularly | No survey of its own; credits a 2025 Chamber and Teneo survey, whose published figure is 58% |
| Reimagine Main Street (PPSI, with PayPal) | 1 in 4 use AI in day-to-day operations; 76% are using or exploring it | Nearly 1,000 small business owners, June 2025 |
| Orion Policy Institute | 35% of businesses use AI significantly (an IBM figure) | Cites an IBM study of businesses of all sizes, not a small business sample |
| JPMorganChase Institute | 17.7% of small businesses had paid for an AI service by end of 2025 (26.1% of employer firms) | Card and account payment records of 4.6 million small businesses, 2019 to 2025 |
| Gene Marks (Forbes column, on Medium) | “Don’t believe it”: owners are dabbling with chatbots, not adopting AI | No survey; the author’s 600-client accounting firm and conference conversations |
| U.S. Census Bureau BTOS | 23.8% of employer businesses used AI in a business function in the last two weeks | About 24,000 responses in the latest survey, from a probability sample of about 1.2 million employer businesses a year, weighted to all employer businesses |
None of this means the private surveys are fabricated. It means a 76% headline from 1,256 program participants describes engaged owners, and a 23.8% rate from a federal probability sample describes the typical employer business. The Census number is also not perfect: its response rate in the latest survey was 12% (8% among 1 to 4 employee firms), and Census corrects for that with weighting, not new responses.
How small firms use AI, and why most do not
The Census AI supplement, collected from Nov 17, 2025 to February 8, 2026 across the full annual sample, asked follow-up questions. Firms with 1 to 4 employees use AI most often for sales and marketing (13.1% of all such firms) and strategy (12.0%), and almost never bring in outside help to do it.
Business functions using AI (share of all firms)
| Function, last six months | 1 to 4 | 250+ |
|---|---|---|
| Sales and marketing | 13.1% | 19.0% |
| Strategy and business development | 12.0% | 18.2% |
| Information technology | 11.2% | 25.9% |
| Finance and accounting | 5.9% | 20.5% |
| Customer service | 7.1% | 14.2% |
| Human resources | 2.9% | 13.6% |
Changes made to use AI (share of AI-using firms)
| Change | 1 to 4 | 20 to 49 | 250+ |
|---|---|---|---|
| Used vendors or consulting services to install or integrate AI | 3.1% | 4.5% | 10.3% |
| Trained current staff to use AI | 13.4% | 16.9% | 31.4% |
| Developed new workflows | 15.0% | 15.3% | 21.1% |
| Purchased cloud services or cloud storage | 8.5% | 8.6% | 12.7% |
| Changed data collection or data management practices | 6.7% | 7.0% | 11.3% |
| Made no changes to use AI | 65.5% | 62.9% | 48.5% |
Why firms do not plan to use AI (share of non-planners)
| Reason (multiple allowed) | 1 to 4 | 20 to 49 | 250+ |
|---|---|---|---|
| AI is not applicable to this business | 63.3% | 58.1% | 42.2% |
| Lack of knowledge on the capabilities of AI | 21.2% | 23.4% | 20.0% |
| Concerns about privacy/security | 20.1% | 21.6% | 29.7% |
| AI is not a mature enough technology yet | 12.6% | 13.5% | 19.4% |
| Too expensive | 6.7% | 7.0% | 9.0% |
| Lack of skilled workforce | 6.4% | 8.6% | 8.1% |
61.6% of businesses with no plans to use AI say it is not applicable to them. The next two reasons, lack of knowledge about what AI can do (22.0%) and privacy or security concerns (20.7%), are things an IT provider can address. Cost is cited by only 6.9%.
What this means for MSPs
Most of your small clients are not using AI yet. About three in four employer businesses said no or did not know in the latest Census survey. Plan AI readiness work around the realistic base: in a book of 100 clients with 1 to 9 employees, expect about 21 to 23 to be active users today, and the industry mix moves that more than headcount does. A client list heavy in professional services or finance will run near 36% to 41% among the smallest firms; one heavy in construction, retail or restaurants will run at 9% to 15%.
The ones using AI are doing it alone. Only 3.1% of AI-using firms with 1 to 4 employees used a vendor or consultant to install or integrate it, and 65.5% made no changes at all: no training, no new workflows, no data-handling changes. That is the gap a readiness offer fills. A practical package covers an inventory of which AI tools staff already use, a written acceptable-use policy, data-loss settings in the client’s Microsoft 365 or Google Workspace tenant, and identity controls on the AI apps themselves. Our MFA statistics show which sign-in methods online services actually support.
Lead with security and knowledge, not price. Among small firms that do not plan to use AI, privacy and security concerns (20.1%) and lack of knowledge (21.2%) each outrank cost (6.7%) by about three to one. The pitch that matches the data is “here is how to use it without leaking client data,” not “here is a cheaper tool.” AI tools also push data into cloud services; our cloud computing statistics track how fast the hyperscalers behind most of those tools are growing.
Use the expectation number for timing. Nationally, the share expecting to use AI has tracked actual use six months later. With 26.1% of 1 to 4 employee firms and 28.1% of 20 to 49 employee firms expecting to use AI soon, the next two quarters are when new users will be setting habits, with or without a policy.
Frequently asked questions
What percent of small businesses use AI?
In the Census Bureau’s Business Trends and Outlook Survey, 23.9% of businesses with 1 to 4 employees and 21.5% of those with 5 to 9 employees said they used AI in a business function in the two weeks before Sep 21, 2026. Across all employer businesses the rate was 23.8%.
Is AI being adopted by small businesses?
Yes, and faster than before. The Census rate for all businesses rose from 17.3% in late November 2025 to 23.8% in the Sep 21, 2026 to Oct 4, 2026 survey. Firms with 1 to 4 employees gained 5.1 points between the Nov 17, 2025 to Feb 8, 2026 and Jul 13 to Oct 4, 2026 survey windows.
Why do small business AI surveys give such different numbers?
They ask different people different questions. Private surveys mostly poll owners who opt in or belong to a program, and many count any use of a chatbot. The Census survey draws a probability sample of about 1.2 million employer businesses a year and weights the answers to all employer businesses. Even its broad question on employees using generative AI for work tasks gets 20.8%, not 58% or more.
Which industries use AI the most?
Information (45.9%), professional, scientific, technical services (41.9%) and finance and insurance (38.3%) lead in the six latest Census biweekly estimates. Accommodation and food services is lowest among large sectors at 9.3%.
What companies are adopting AI the most?
Large ones, by share. 39.5% of businesses with 250 or more employees used AI in the latest six Census estimates, against 22.8% of firms with 1 to 4 employees. Sector matters as much as size: professional services firms with 1 to 4 employees (40.7%) use AI at a higher rate than manufacturers with 250 or more employees (36.4%).
How many small businesses plan to use AI?
26.1% of firms with 1 to 4 employees expect to use AI in the next six months, against 22.8% using it now. In the Census data, the share expecting to use AI has been a good forecast: actual use six months later landed within 0.9 points of it on average.
Methodology
Source. U.S. Census Bureau, Business Trends and Outlook Survey (BTOS), an experimental data product. We downloaded the current national, employment size class, sector, state, and sector by employment size class workbooks, the “AI Core Questions (Original)” workbook with the old-wording series, the 2026 AI supplement table, and the response rate workbook from the BTOS data downloads page on October 15, 2026. The latest survey in the data is the Sep 21 to Oct 4, 2026 collection.
Definitions. “Uses AI” means the business answered yes to: “In the last two weeks, did this business use Artificial Intelligence (AI) in any of its business functions?” From September 11, 2023 to October 5, 2025 the question read “in producing goods or services.” The two wordings are separate series and are never combined. “Expects to use” is the parallel six-month question. Rates are shares of businesses, weighted by Census to all employer businesses in scope (nonfarm employer businesses, excluding a short list of industries such as public administration and religious organizations).
Our calculations. Period averages are simple means of six consecutive published biweekly estimates, with a standard error approximated as the square root of the summed squared published standard errors divided by six (each survey uses a different panel of businesses). Sector, state, and sector by size averages require at least four of six unsuppressed estimates. The expectation test pairs each survey’s expected-use rate with the actual-use rate 13 surveys later within the same wording. The chart by firm size uses three-survey trailing averages.
Coverage and gaps. No data exist for October 6 to November 16, 2025 because collection stopped during the federal funding lapse. The latest survey had about 24,000 responses and a 12% unit response rate. Nonemployer businesses (no paid staff) are outside the BTOS. The download holds every published “yes” estimate (and the national “do not know” share) for both AI questions and both wordings; estimates Census suppressed are left out. Survey headline numbers in the comparison table were read from each publisher’s page on October 15, 2026; the Goldman Sachs sample details come from coverage of its March 17, 2026 release.
Not advice. This is an analysis of public survey data, not a recommendation for any business.
Cite as:The Uptime Report. "Small Business AI Adoption Is About 1 in 4, Not 3 in 4: 23.8% of Firms Use AI, Census Data Shows." October 2026. https://theuptimereport.com/small-business-ai-adoption/
References
- U.S. Census Bureau, Business Trends and Outlook Survey. Accessed October 2026.
- U.S. Census Bureau, BTOS data downloads (national, size, sector, state, sector by size, AI Core Questions original, AI supplement 2026, URR). Accessed October 2026.
- U.S. Census Bureau, BTOS AI Core Question Updates (December 3, 2025). Accessed October 2026.
- U.S. Census Bureau, BTOS Methodology. Accessed October 2026.
- U.S. Census Bureau, “AI Use at U.S. Businesses” (May 26, 2026). Accessed October 2026.
- Federal Reserve Board, “Monitoring AI Adoption in the U.S. Economy,” FEDS Notes (April 3, 2026). Accessed October 2026.
- U.S. Chamber of Commerce, Empowering Small Business 2025 and full report (methodology, p. 37). Accessed October 2026.
- JPMorganChase Institute, “Understanding the use of AI among small businesses”. Accessed October 2026.
- Goldman Sachs 10,000 Small Businesses Voices, AI survey (March 17, 2026) and SCX Change coverage with sample details. Accessed October 2026.
- ICIC, AI in Business. Accessed October 2026.
- Reimagine Main Street, AI and Small Business Survey and NSBA summary. Accessed October 2026.
- Orion Policy Institute, “Empowering Small Businesses”. Accessed October 2026.
- Digital Applied, “Small Business AI Adoption”. Accessed October 2026.
- Gene Marks, “Small Businesses Adopting AI? Don’t Believe It.” Accessed October 2026.
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Data center power, spending, jobs - 99.9% Uptime
Uptime calculator and 35 real SLAs - Power Outage Statistics by State
Outage hours by state, EIA data - Cost of Downtime
Revenue per hour for 3,001 public companies - Windows Server End of Life
Support dates and CVEs per server version
Regulation and disclosure
- FedRAMP Statistics 2026
Authorizations, reuse, and 3PAO market - Item 1C Cybersecurity Disclosures
Coded 10-K Item 1C sample - CMMC Certification Statistics 2026
CMMC demand vs assessor capacity - Data Brokers List 2026
728 brokers across three state registries - SEC Cybersecurity Incident Disclosures
Every 8-K Item 1.05 filing - HIPAA Enforcement Tracker
Every OCR penalty and settlement
Workforce and pay
- H-1B Statistics 2026
H-1B lottery, employers, and wages - AI Layoffs 2026
AI-blamed job cuts, sourced to filings - Help Desk Salary 2026
Help desk hourly pay, BLS OEWS - Cybersecurity Salary 2026
Security pay percentiles, BLS OEWS - Women in Tech Statistics 2026
Women’s share of tech jobs since 2011 - IT Unemployment Rate 2026
Tech vs national jobless rate, monthly - Tech Job Postings 2026
Tech postings vs 2020, by role and country - Tech Layoffs 2026
Tech layoffs from state WARN notices - Remote Work Statistics 2026
Telework by job, industry, and state - Highest Paying Cities for IT Jobs 2026
Metro pay by role, BLS OEWS - The Tech Job Market in 2026
Openings, quits, hires, layoffs - IT Salaries by State 2026
Pay matrix for four IT roles - IT and Cybersecurity Jobs Outlook 2026
BLS employment projections
MSP market and spending
- MSP Market Size 2026
Managed services market, built from Census - Cyber Insurance Statistics
Cyber insurance market, NAIC 2015-2024 - IT Spending by Industry
IT investment by industry, BEA - IT Services Industry Growth 2026
Census revenue by service industry - IT Hourly Rates 2026
Hourly IT labor rates, GSA contracts - VoIP Statistics 2026
Business VoIP vs landlines, FCC - MSP Industry Statistics 2026
Jobs, wages, and firms, BLS QCEW - Federal IT Spending 2026
IT services contracts, USAspending - IT Services Firms by State
Census business patterns atlas
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