2026 Market Study · 350 U.S. Small Businesses

State of Small Business AI Confidence '26

Small businesses have adopted AI faster than they've learned to wield it. A market study to discover what owners need most.

The Confidence Divide is becoming a Revenue Divide: key findings
78%
use at least one AI tool, mostly for general-purpose chat
20%
self-describe as a highly confident AI user
~3X
more likely to report revenue impact from high-confidence owners

Market study participants

350 small business owners across the U.S., spanning every level of AI experience.

Business size breakdown
Share of N=350 respondents by company size
Solopreneur
38%
2–10 employees
44%
11–50 employees
18%
My personal level of confidence isn't high, either in its use or its outcomes.
— Small business owner, study participant

Inside the report

Six chapters mapping where small business AI stands today, and where it's headed next.

AI adoption is the new baseline

87%
Use at least one AI tool
56%
Use AI every day
56%
Pay for at least one tool

Nearly half of adopters are still in year one

Adoption is recent for most. The experience curve, where revenue impact compounds, is still ahead of them.

Not yet using (12.6%)
First year of AI use (46.9%)
1–2 years of use (30%)
More than 2 years (10.6%)

AI tools in use

Most small business AI today runs through a single general-purpose chat interface. The owner is the integration layer.

AI tools in use
% of owners using each · multi-select, does not sum to 100%
ChatGPT
73%
Gemini
40%
Claude
37%
Copilot
25%
AI Marketing Tools
15%
None
13%
Grok
12%
AI chatbot on website
11%
AI-powered SEO tools
10%
AI sales tools
9%
AI site builder
9%
OpenClaw Agents
4%

Where AI has the most relevance

Owners see AI as a front-office growth lever. Marketing dominates, followed by sales and core operations. Customer support sits last.

Where Small Business Owners Seek Help from AI Most
#1
Marketing my business
#2
Help with sales efforts
#3
Assist business operations
#4
Building website
#5
Managing social channels
#6
Managing website
#7
Providing customer support

N=350. Ordered by mean stack-rank relevance, where owners ranked each area from 1 (most relevant) to 7 (least relevant).

What's holding adoption back

Knowledge gaps and relevance top the list. Far fewer owners point to cost or complexity as their main obstacle.

What are the top barriers to AI adoption?
No AI knowledge
30%
Not specific for my business
27%
Lack of pre-packaged solutions
19%
Not enough hands-on support
19%
Not built for small business scale
15%
Other
25%

Base: N=350 | Q17: Multi-select; percentages do not sum to 100%

The confidence divide is the defining challenge

On a 1–10 scale, only 20% of owners rate themselves an 8, 9, or 10 in their effective use of AI. 28% sit at three or below. The largest cluster sits in the middle, using AI regularly but unsure whether they are using it well.

Self-rated confidence
% of respondents · AI confidence rating 1–10 · N=350
1
13%
2
5%
3
10%
4
11%
5
13%
6
16%
7
14%
8
8%
9
1%
10
10%
I have very little confidence in my ability to know what the right AI tools are to use, and I also have very little confidence in AI's ability to get it right 100% of the time.
— Survey respondent, small business owner

The confidence gap is starting to look like a revenue gap

Businesses with higher AI confidence are nearly 3X more likely to report revenue gains from AI, with positive impact rising from 23% among low-confidence owners to 65% among high-confidence owners.

Positive revenue impact climbs with AI confidence
Share in each confidence band who said AI increased revenue. Excludes "too early to tell." Shows association, not proof of causation.
Low confidence (1–4)
23%
Mid confidence (5–7)
54%
High confidence (8–10)
65%

Fewer than 1 in 15 owners fully trust AI

Most owners land in the low-to-medium trust bands. High trust is rare.

Trust in AI for brand voice
% of respondents · N=350 · only 6% highly trust AI with their brand voice
Low Trust (1–3)
32%
Medium (4–6)
37%
Moderate (7–8)
18%
High Trust (9–10)
6%

Self-ranked level of AI trust on a score of 1–10. 1 is low, 10 is high.

The fears driving caution are specific

Output quality and losing the human touch account for 61% of all concerns cited, more than six times the share citing cost or complexity.

Top concern cited
% of owners naming each as their top concern about AI
Accuracy & quality
32%
Losing human touch
29%
Data privacy & security
16%
Don't know where to start
12%
Cost
5%
Too complicated
4%
Other
3%
It's often wrong and I can't trust it completely for even things like marketing. Everything sounds like AI slop.
— Survey respondent, small business owner

Operational efficiency is the immediate payoff

One in five report a full workday or more reclaimed.

Hours per week saved by AI
% of respondents · N=350 · 78% save time each week
No time saved
22%
1–3 hours
29%
4–7 hours
27%
8–15 hours
13%
16+ hours
8%
I use WordPress.com for my website and save 16+ hours per week with AI, which has somewhat increased my revenue and reduced spending on freelancers.
— Survey respondent, small business owner

Revenue lift is starting to happen, slower for most

The time-savings story lands now. The revenue story is the next chapter, and it's still being written.

Revenue change since adopting AI
Base: N=299 · only respondents who answered the revenue question (AI users)
Increased significantly
6%
Increased somewhat
33%
No change
43%
Too early to tell
17%
Decreased
1%
78%
Save time each week
21% reclaim 8+ hours a week, a full workday.
39%
See revenue lift
43% see no change yet. The revenue chapter is still being written.

Revenue gains grow as AI experience deepens

Businesses with more than two years of AI experience are roughly 2X more likely to report positive revenue impact than those in their first three months, rising from 27% to 55%.

Positive revenue impact generally increases with AI experience
Share in each experience group who said AI increased revenue. Directional: some early-tenure groups have smaller bases.
Not yet using
0%
Less than 3 months
27%
3–6 months
43%
6–12 months
52%
1–2 years
48%
More than 2 years
55%

Business age matters less than AI maturity

Earlier-stage businesses are seeing slightly more immediate ROI, but the variation by age is modest. Time spent practicing with AI matters more than years in business.

Business age shows only modest variation in AI revenue impact
Share reporting positive revenue impact, by business age
Less than 1 year
44%
1–2 years
53%
3–5 years
56%
6–10 years
38%
More than 10 years
45%
The more I experiment with AI tools, the faster I find real value. It's becoming inexcusable not to use AI across many aspects of the business.
— Survey respondent, small business owner

Aware of agents, not yet using them

79% of owners are aware of AI agents. Only 16% have deployed one. The adoption gap is wide.

79%
total awareness
79% total awareness of AI agents
Aware, not using (63%)
Already using agents (16%)
First hearing today (21%)

Prioritized Desired AI Agent Use Cases Reveal A Lot

Owners would deploy agents for marketing, sales, and operations well ahead of customer support, a clear front-office growth signal.

What agents do Small Business Owners want to deploy most?
#1
Making Site/SEO Updates
#2
Run Marketing Social Ads
#3
Execute Google Ads
#4
Answer Questions / Set Appointments
#5
Bookkeeping and Accounting
#6
Inventory Management
#7
Providing Customer Support

N=350. Ordered by mean stack-rank priority, where owners ranked each task from 1 (would deploy first) to 7 (would deploy last).

01
Adoption runs through LLM chat
87% use AI, with ChatGPT, Gemini, and Claude most prominent. Tools are used primarily for marketing and sales.
02
The confidence gap is becoming a results gap
Owners with the highest self-rated confidence are 2.8X as likely as low-confidence owners to report revenue gains from AI.
03
Human in the loop is essential
Only 6% of owners trust AI with their brand voice. Quality concerns and fear of losing the human touch keep AI behind the scenes.
04
Time savings compound into revenue
78% save time every week. Businesses using AI for over two years are 2X more likely to report positive revenue impact than those in their first three months.
05
AI search is not yet understood
87% are not yet acting on AI search optimization for their websites, and 22% encountered the concept for the first time in this study.
06
Agents are the frontier opportunity
79% are aware of agents, but only 16% have deployed one. Top priorities: site and SEO updates, ad management, and answering questions or booking appointments.

We believe the new era of AI offers an extraordinary opportunity for small businesses to succeed online without the resource constraints that previously held many back. We set out to understand where confidence with AI stands today and what small businesses need most.

We partnered with ListenLabs to interview 350 small business owners across every level of AI experience, asking about adoption, mastery, trust, ROI, AI search visibility, and the agentic AI wave on the horizon. We learned a lot.

A year ago, the small business AI story was purely about adoption. That is no longer the conversation. Today, 87% use at least one AI tool and a majority pay for one, yet only 20% describe themselves as highly confident. Most striking was how closely an owner's self-rated confidence tracked with their reported results: high-confidence owners were nearly 3X as likely to report revenue gains from AI as low-confidence owners.

The majority of owners not yet experiencing AI-accelerated growth were eager to know what to use, when to trust it, and how to make it actually work for their business.

The State of Small Business AI Confidence 2026 marks our first annual report. Given that SMBs account for 99.9% of all American businesses, employ roughly 45.9% of the private-sector workforce, and generate approximately 43.5% of total U.S. GDP, the potential impact of AI on small business could be a true tailwind for the American economy. We look forward to seeing how SMB AI adoption and confidence shift through 2027.

Sincerely, Sachin Puri Chief Executive Officer, Bluehost
Sachin Puri, Chief Executive Officer, Bluehost

Bluehost partnered with ListenLabs to conduct an online quantitative and qualitative study of 350 U.S. small business owners in May 2026. Participants owned businesses with 1–50 employees across a wide range of industries, including retail, professional services, local services, health and wellness, technology, nonprofit, media, restaurant, hospitality, and more. Respondents ranged from business owners who had never used AI to those using it multiple times per day. The survey explored six core topics: AI adoption, self-rated confidence and mastery, trust in AI for customer-facing work, time and revenue return on investment, awareness and readiness for AI search, and appetite for agentic AI.

The margin of error for the full sample is ±5.2 percentage points at the 95% confidence level. Margins of error are larger for subgroup analyses and vary by subgroup size. In some instances, percentages may not total 100% due to rounding.

Who responded

350 owners spanning every level of AI experience, from never-users to daily power users.

0%
Established adopters
188 of 350
Have been using AI for 6+ months. These are real operators making practical decisions about tools, spending, and customer acquisition.
0%
Recent users
85 of 350
Started using AI within the last 6 months. This group is still building familiarity and forming habits around AI tools.
0%
Non-users
44 of 350
Are not yet using AI in their business. Their perspectives capture the remaining edge of hesitation and where enablement is needed.
Business size breakdown
Share of N=350 respondents by company size
Solopreneur
38%
2–10 employees
44%
11–50 employees
18%

Confidence scores referenced in this report reflect respondents' self-reported ratings on a 1–10 scale, where 1 means "not confident at all" and 10 means "completely confident," in response to the question: "How confident are you that you are using AI effectively in your business?" For analyses comparing confidence by usage frequency, average confidence was calculated as the mean score within each AI usage group, based on responses ranging from Never to Multiple times per day. For analyses comparing confidence by AI tenure, average confidence was calculated as the mean score within each group based on how long respondents reported using AI tools in their business, ranging from less than 3 months to more than 2 years. These comparisons should be interpreted as cross-sectional differences between groups at one point in time, not as proof that longer AI use directly causes higher confidence.

Bluehost Exists to Give

Small Businesses the Confidence to Think Big.

Six chapters that cover the full arc of small business AI in 2026 — from adoption and confidence to the agentic wave on the horizon.


Access the AI 
Confidence Report 2026

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