Average AI Adoption for Small Businesses: June 2026 Report

June 15, 2026

Last Updated: June 15th, 2026

As of May 2026, 16.8% of small businesses in the United States actively use at least one dedicated AI tool for a business function. That figure has grown 32% in the past 12 months and continues to rise by approximately 0.35% per month. AI adoption varies significantly by industry. Small businesses in IT services lead adoption at 38%, driven by technical workflows that integrate naturally with AI tools. Restaurants, car detailing, and cleaning services sit at the lower end at 5 to 6%, where hands-on service delivery and thin margins limit the return on AI investment. From November 2025 to May 2026, our research team at Altus Marketing compiled AI adoption data across 1,600 small business client accounts, cross-referenced with industry reports and government surveys covering more than 200,000 small businesses. The tables below break down AI adoption by industry, use case, business size, country, and monthly trend.


Average AI Adoption Rate by Small Business Industry

The table below presents average AI adoption rates across 36 small business industries, sorted from highest to lowest, based on data collected between November 2025 and May 2026.

Industry Avg. Adoption Rate Range Primary AI Use Case
IT Services & Computer Repair 38% 35–42% Code generation, process automation, technical documentation
Legal Services 30% 27–34% Document review, contract analysis, legal research
Financial & Wealth Management 27% 23–31% Data analysis, client reporting, portfolio modeling
Accounting & Tax Services 25% 21–29% Tax preparation, financial analysis, bookkeeping automation
Insurance (Independent Agents) 23% 19–27% Claims processing, underwriting support, customer communication
Real Estate 21% 17–25% Property valuation, listing content, lead qualification
Healthcare & Medical Practices 19% 15–23% Medical coding, appointment scheduling, administrative documentation
Mental Health & Counseling 17% 13–22% Session notes, scheduling, billing automation
Mortgage & Lending (Brokers) 16% 12–21% Loan processing, document review, client communication
Retail & E-commerce 15% 11–19% Product descriptions, inventory management, customer service
Physical Therapy & Rehabilitation 14% 10–18% Patient notes, scheduling, insurance billing
Dental & Orthodontics 14% 10–18% Patient communication, appointment management, billing
Tutoring & Test Prep 13% 9–17% Content creation, lesson planning, progress tracking
Fitness & Wellness 12% 8–16% Class scheduling, client communication, content creation
Optometry & Eye Care 12% 8–16% Patient communication, scheduling, billing
Childcare & Early Education 11% 7–15% Parent communication, activity planning, progress reporting
Photography & Creative Services 11% 7–15% Image editing, marketing content, client communication
Veterinary Services 10% 6–14% Patient records, appointment scheduling, billing
Automotive Services 10% 6–14% Appointment scheduling, customer communication, parts inventory
Chiropractic Care 9% 5–13% Patient notes, scheduling, billing
Senior Care & Home Health Aide 9% 5–13% Care documentation, scheduling, family communication
Remodeling & General Contracting 8% 4–12% Project estimates, client communication, scheduling
Wedding Services 8% 4–12% Client communication, vendor coordination, content creation
Event Planning & Catering 8% 4–12% Client communication, menu planning, scheduling
Moving & Storage 7% 3–11% Quote generation, customer communication, scheduling
Landscaping & Lawn Care 7% 3–11% Customer communication, scheduling, invoice generation
Roofing 6% 3–10% Estimate generation, customer communication, project management
Home Services (HVAC, Plumbing, Electrical) 6% 3–9% Appointment scheduling, customer communication, invoicing
Pool Service & Maintenance 6% 3–9% Scheduling, customer communication, chemical tracking
Appliance Repair 6% 3–9% Appointment scheduling, parts lookup, customer communication
Pest Control 6% 3–9% Scheduling, treatment records, customer communication
Cleaning Services 6% 2–9% Scheduling, customer communication, invoicing
Beauty & Personal Care 6% 2–9% Appointment booking, customer communication, marketing
Pet Services (Grooming, Boarding) 5% 2–8% Appointment booking, customer communication, pet records
Car Detailing 5% 2–8% Appointment booking, customer communication, marketing
Restaurants & Food Service 5% 2–7% Menu management, reservation systems, customer communication

The data reveals that AI adoption in small businesses follows the same pattern as digital tool adoption broadly: industries with knowledge-intensive, document-heavy, or analytically complex workflows adopt first, while industries built around physical service delivery and in-person interaction adopt last. The 33-percentage-point gap between IT services at 38% and restaurants at 5% reflects the fundamental difference between businesses where AI can directly automate a core workflow and businesses where the primary value is delivered by a person with their hands. For the industries in the middle of the table, adoption is growing steadily as AI scheduling, communication, and billing tools become more accessible and affordable for businesses without technical staff.


Industries with the Highest AI Adoption Rates

The table below identifies the six small business industries with the highest AI adoption rates, alongside the primary driver of strong adoption in each category.

Industry Avg. Adoption Rate Range Primary Driver of High Adoption
IT Services & Computer Repair 38% 35–42% Technical workforce already comfortable with AI tools; code generation and automation directly accelerate core service delivery
Legal Services 30% 27–34% Document review and contract analysis AI saves 5 to 10 hours per case, creating clear and immediate ROI that justifies adoption investment
Financial & Wealth Management 27% 23–31% High-value knowledge work benefits directly from data analysis and reporting automation; competitive pressure from larger firms accelerates adoption
Accounting & Tax Services 25% 21–29% Tax preparation and financial analysis are among the highest-ROI AI use cases; seasonal workload pressure drives adoption as a capacity solution
Insurance (Independent Agents) 23% 19–27% Claims processing and underwriting support reduce manual administrative time; competitive pressure from national carriers using AI pushes independent agents to adopt
Real Estate 21% 17–25% Listing content generation, property valuation tools, and lead qualification AI reduce the administrative burden of high-volume client management

The data reveals that the highest-adopting industries share a common characteristic: a clear and measurable time-savings benefit that translates directly into either more billable hours or reduced operating cost. Legal document review, tax preparation automation, and financial reporting tools all produce a visible ROI within the first billing cycle, which accelerates adoption and sustains it past the initial trial period. These industries also tend to have business owners and staff with a higher baseline comfort with digital tools, which lowers the adoption friction that holds other categories back.


Industries with the Lowest AI Adoption Rates

The table below identifies the six small business industries with the lowest AI adoption rates, alongside the primary factor limiting adoption in each category.

Industry Avg. Adoption Rate Range Primary Driver of Low Adoption
Restaurants & Food Service 5% 2–7% Thin margins limit technology investment; service delivery is almost entirely in-person and hands-on, with limited back-office workflow where AI adds value
Car Detailing 5% 2–8% Micro-business model with minimal administrative overhead; the core service requires physical presence and manual skill
Pet Services (Grooming, Boarding) 5% 2–8% Small team sizes and appointment-based business models leave little administrative volume for AI to address meaningfully
Beauty & Personal Care 6% 2–9% Relationship-driven, appointment-based businesses with limited back-office complexity; most client communication happens in person or via text
Cleaning Services 6% 2–9% Field-based crews with minimal computer use; scheduling and invoicing are the primary digital tasks and AI tools for these functions are only beginning to reach this segment
Pest Control 6% 3–9% Treatment records and scheduling are the primary administrative tasks; mobile-first operations limit desktop tool adoption

The data reveal that low-adoption industries are defined by a combination of thin operating margins, field-based work, and limited administrative volume. These businesses generate most of their value through physical presence and skilled manual labor rather than document creation, data analysis, or customer communication at scale. AI tools for scheduling, invoicing, and customer messaging are beginning to penetrate these categories, which is why adoption is growing in the 2 to 9% range rather than remaining flat. Over the next two to three years, mobile-first AI tools designed specifically for field service businesses are expected to accelerate adoption meaningfully in these industries.


AI Adoption by Use Case

The table below presents AI adoption rates by use case among small businesses currently using AI tools, sorted from most to least common.

Use Case Adoption Rate Among AI Users Primary Industries
Content Creation and Writing 68% All industries; highest in legal, marketing, and professional services
Customer Service and Chatbots 52% Retail, financial services, healthcare
Data Analysis and Insights 47% Financial, legal, accounting, consulting
Email and Communication 45% All industries
Marketing and Ad Copy 42% Marketing, retail, real estate
Document Review and Analysis 38% Legal, accounting, insurance
Scheduling and Calendar Management 35% Healthcare, professional services
Image and Video Generation 28% Photography, marketing, real estate
Code Generation and Debugging 24% IT services and computer repair
Inventory Management 22% Retail, home services
Fraud Detection and Security 19% Financial services, e-commerce
Predictive Maintenance 12% Home services, automotive

The data reveals that content creation and writing are the dominant AI use cases across small businesses, with nearly 7 in 10 AI-adopting businesses using it for some form of writing, editing, or content generation. This includes blog posts, social media, email drafts, and marketing copy. The breadth of this use case reflects how accessible AI writing tools have become and how directly they address one of the most time-consuming administrative tasks across every industry. Customer service and chatbots follow at 52%, concentrated in high-volume customer inquiry industries like retail and financial services. Code generation sits at 24% but is concentrated almost entirely within IT services and computer repair, making it a category-specific use case rather than a broadly adopted one.


The table below tracks monthly AI adoption rates for small businesses across the 13 months from May 2025 through May 2026.

Month Adoption Rate Month-Over-Month Change
May 2025 13.2% Baseline
June 2025 13.7% +0.5%
July 2025 14.1% +0.4%
August 2025 14.5% +0.4%
September 2025 14.9% +0.4%
October 2025 15.4% +0.5%
November 2025 15.8% +0.4%
December 2025 16.1% +0.3%
January 2026 16.4% +0.3%
February 2026 16.6% +0.2%
March 2026 16.8% +0.2%
April 2026 17.1% +0.3%
May 2026 17.4% +0.3%

The data reveals consistent month-over-month growth across all 13 months, with total adoption rising 4.2 percentage points or 32% from May 2025 to May 2026. The growth rate accelerated through mid-2025 as AI tool pricing dropped and accessibility improved, then moderated slightly in early 2026 as the most accessible use cases reached saturation among early adopters. The current trajectory projects small business AI adoption reaching approximately 20% by mid-2027, assuming growth continues at the current 0.35% monthly rate.


AI Tool Retention Rate for Small Businesses

The table below presents AI tool retention rates at each milestone after initial adoption, based on client data tracked by the Altus Marketing research team.

Milestone Retention Rate Primary Reason for Discontinuation
1 month 92% Tool did not match the intended use case
3 months 85% Insufficient ROI or perceived value
6 months 78% Cost too high relative to benefit received
12 months 72% Cost too high relative to benefit received
18+ months 88% Very few businesses discontinue after the 18-month mark

The data reveals that the majority of AI tool churn happens within the first six months. Twenty-two percent of small businesses that adopt an AI tool discontinue it within six months, primarily because they selected a tool that did not fit their actual workflow or because the expected ROI failed to materialize during the trial period. Retention improves significantly after 18 months, rising back to 88%, because businesses that have integrated an AI tool into their daily operations at that stage have typically restructured their workflow around it. Retention rates also vary heavily by industry: IT services and marketing businesses sustain 12-month retention rates above 90%, while construction and food service businesses show retention rates as low as 45% at the same milestone.


AI Adoption Rate by Business Size

The table below presents AI adoption rates, average monthly AI investment, and 12-month retention rates by business size as of May 2026.

Business Size Adoption Rate Avg. Monthly AI Investment 12-Month Retention Rate
Micro (1–9 employees) 10% $450 65%
Small (10–49 employees) 17.5% $2,800 74%
Medium (50–249 employees) 31.5% $14,200 82%

The data reveals that adoption scales directly with business size, with medium-sized businesses adopting at more than three times the rate of micro-businesses. The primary driver is budget: a $450 monthly AI investment represents a more significant portion of a micro-business’s operating budget than a $14,200 investment does for a medium-sized company with proportionally larger revenue. Retention also scales with investment level, because higher-investment businesses tend to implement AI tools more deliberately, with clearer use cases and success metrics, which reduces the early churn that affects under-resourced micro-business adoptions. The gap between micro and small business retention at the 12-month mark represents the single largest opportunity for AI tool providers targeting the small business market.

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Related Reading


Sources

  1. Altus Marketing Research Study. Altus Marketing, New York, NY. June 2026.
  2. Capsule CRM. “Small Business AI Adoption Statistics for 2026.” Capsule CRM. 2026. https://capsulecrm.com/blog/small-business-ai-adoption-statistics/
  3. U.S. Chamber of Commerce. “Small Business Use of AI Surges, Driving Daily Efficiency.” U.S. Chamber of Commerce. 2026. https://www.uschamber.com/technology/empowering-small-business-the-impact-of-technology-on-u-s-small-business
  4. SBE Council. “Small Business and AI Adoption.” SBE Council. June 2026. https://sbecouncil.org/2026/06/05/small-business-and-ai-adoption/
  5. Digital Applied. “Small Business AI Adoption: 68% Use It, Most Wing It.” Digital Applied. 2026. https://www.digitalapplied.com/blog/small-business-ai-adoption-guide-2026
  6. AdAI News. “Small Business AI Statistics 2026.” AdAI News. 2026. https://adai.news/resources/statistics/small-business-ai-adoption-statistics-2026/

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