Ascero AI Research · updated June 2026

The State of AI Adoption Among U.S. Small Businesses 2026.

A majority of U.S. small businesses now use AI — 58% run generative AI today, up from roughly 40% a year earlier. This report compiles the adoption rate, the ROI, and the segment-by-segment momentum, every figure attributed to a named 2025 survey.

Free to cite (CC BY 4.0). Compiled from third-party research — sources linked on every figure.

58%
of U.S. small businesses now use generative AI — up from 40% in 2024.
U.S. Chamber of Commerce, 2025 →
+41%
year-over-year jump in AI usage (39% → 55%) among small businesses.
Thryv Small Business Survey, 2025 →
91%
of AI-using SMBs report revenue increases; 86% report improved margins.
Salesforce SMB Trends, 2025 →
$500–$2,000
typical monthly cost savings reported by SMBs using AI, plus 20+ hours/month saved.
Thryv Small Business Survey, 2025 →
47% → 68%
AI adoption among firms with 10–100 employees, year over year — the fastest-moving segment.
U.S. Chamber of Commerce, 2025 →
8.8% vs 10.5%
small- vs large-business AI use under a strict "production use" definition — the gap is closing fast.
SBA Office of Advocacy, 2025 →

Key findings

  • A majority of U.S. small businesses (58%, U.S. Chamber of Commerce 2025) now use generative AI — up from roughly 40% a year earlier — making non-adoption, not adoption, the minority position.
  • The fastest-moving segment is firms with 10–100 employees, where adoption climbed from 47% to 68% year over year (U.S. Chamber of Commerce 2025).
  • Adoption is paying off: 91% of AI-using SMBs report revenue increases and 86% report improved margins (Salesforce 2025); typical reported savings are $500–$2,000/month and 20+ hours/month (Thryv 2025).
  • The small-vs-large-business capability gap is narrowing — under the SBA Office of Advocacy's strict production-use definition, small-business AI use reached 8.8% against large business's 10.5% in 2025.
  • Phone and customer-communication automation is among the highest-ROI first deployments for owner-operated SMBs, because the leak it closes is immediate and measurable (see the companion Phone-Leakage Report).

Methodology and sources

This is a compiled report, not original first-party research. Each figure is attributed to a named 2025 survey and linked to its source: the U.S. Chamber of Commerce, the U.S. Small Business Administration Office of Advocacy, Thryv, Salesforce, Homebase, and the Small Business & Entrepreneurship Council. Where surveys disagree (adoption estimates range from ~55% to ~88% depending on definition and sample), we lead with the most conservative, widely-cited figure and note the range.

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Cite this report

Free to cite and share under CC BY 4.0. Suggested citation:

Ascero AI (2026). The State of AI Adoption Among U.S. Small Businesses 2026. https://asceroai.com/research/smb-ai-adoption-2026

Related: The SMB Phone-Leakage Report 2026 · All Ascero AI research

Frequently asked

What percentage of small businesses use AI in 2026?

As of the most recent 2025 surveys, 58% of U.S. small businesses use generative AI (U.S. Chamber of Commerce), up from about 40% in 2024. Other surveys put "using or piloting" as high as 64.7% (Homebase). Adoption is strongest among firms with 10–100 employees (68%).

Does AI actually increase small-business revenue?

According to Salesforce's 2025 SMB research, 91% of small and mid-sized businesses using AI report revenue increases, 87% say it helps them scale operations, and 86% report improved margins. Thryv's 2025 survey found typical cost savings of $500–$2,000/month and 20+ hours saved monthly.

Are these original Ascero AI statistics?

No. This report compiles and attributes figures from named third-party 2025 surveys (U.S. Chamber of Commerce, SBA Office of Advocacy, Thryv, Salesforce, Homebase, SBE Council). Each figure links to its source. It is a citable clearinghouse, not original first-party research.

What is the highest-ROI first AI deployment for a small business?

For owner-operated businesses with high inbound call volume, an AI voice receptionist that answers missed calls is typically the fastest measurable return, because it recovers revenue that is currently leaking to voicemail. See the companion SMB Phone-Leakage Report for the per-vertical math.

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