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AI for small business, by the numbers

What AI is actually doing for small businesses

Real numbers from government data, national surveys and published research, with the source for every figure. Then run your own numbers to see what an AI receptionist or better search visibility could add to your bottom line.

Last updated November 1, 2026.

Adoption

Most small businesses have started using AI

Use has more than doubled in two years, and owners who use it say it's working. But very few have built it into how the business actually runs.

58%

of small businesses use generative AI, up from 40% in 2024 and 23% in 2023.
Source:U.S. Chamber of Commerce, 2025[1]

93%

of small business owners who use AI say it has had a positive impact on their business. 84% name efficiency and productivity as the main benefit.
Source:Goldman Sachs, 2026[2]

14%

of small businesses have fully integrated AI into their core operations, even though 76% say they use it.
Source:Goldman Sachs, 2026[2]

19.8%

of all U.S. employer businesses reported using AI in their operations as of May 2026. The Census Bureau found use grew among firms with 20+ employees but did not change significantly among smaller firms.
Source:U.S. Census Bureau, 2026[3]

Time and money

Owners get hours back every month

The biggest reported win is time: hours that go back into customers, planning and marketing.

58%

of small businesses using AI report saving more than 20 hours a month.
Source:Thryv, 2025[4]

66%

of small businesses using AI say it saves them $500 to $2,000 a month.
Source:Thryv, 2025[4]

56%

of owners using AI put the time it saves into strategic planning; 44% put it into expanded marketing.
Source:Goldman Sachs via Fortune, 2026[5]

Calls and leads

Speed wins the customer

A call that isn't answered, or a lead that waits until tomorrow, usually goes to the next business on the list.

56%

of inbound callers spoke with a person. Even after removing calls under 15 seconds (misdials and quick hang-ups), about 1 in 3 real calls didn't reach anyone.
Source:Invoca, 2026[6]

7×

Firms that tried to contact a lead within an hour were nearly 7 times as likely to qualify it as firms that waited even one hour longer, and more than 60 times as likely as firms that waited a day or more.
Source:Harvard Business Review, 2011[7]

42 hrs

was the average time companies took to respond to a web lead. Only 37% responded within an hour, and 23% never responded at all.
Source:Harvard Business Review, 2011[7]

Reviews and search

Customers check you out before they call

Reviews are often the first thing a customer sees, and more people now ask AI tools which local business to use.

97%

of consumers read reviews for local businesses.
Source:BrightLocal, 2026[8]

80%

of consumers are more likely to use a business that responds to all of its reviews. 89% expect business owners to respond.
Source:BrightLocal, 2026[8]

45%

of consumers used AI tools to get local business recommendations in 2026, up from 6% the year before.
Source:BrightLocal, 2026[8]

Run your numbers

What could it add to your bottom line?

Change any number to match your business. The calculator counts only new customers you'd win and the profit on them, then subtracts the monthly plan.

%

Invoca's 2026 data suggests about 35% for real calls (see above).

%

Your estimate. The rest are existing customers, vendors and spam.

%

Your usual close rate on new calls.

$

First-year revenue from one new customer.

%

What's left after materials and labor.

Plan
Calls that don't reach you
70
New customers recovered
5.3
Added revenue
$2,625
Added profit
$1,313
Plan cost
−$199

Added to your bottom line each month

$1,114

$13,362 a year

Break-even: 0.8 new customers a month

What am I waiting for?

Every call you miss is a customer your competitor gets.

Let's get started

This is an estimate built from the numbers you enter, not a guarantee. Results depend on your market, your prices and how you follow up. Monthly plan cost only; the one-time setup fee isn't included.

Sources

  1. [1]U.S. Chamber of Commerce, Empowering Small Business: The Impact of Technology on U.S. Small Business (August 2025; survey by Teneo Research). www.uschamber.com/technology/empowering-small-business-the-impact-of-technology-on-u-s-small-business
  2. [2]Goldman Sachs 10,000 Small Businesses Voices survey of 1,256 small business owners, conducted by Babson College and David Binder Research, Jan. 27 – Feb. 4, 2026. www.goldmansachs.com/community-impact/10000-small-businesses-voices/insights/ai-presents-a-major-opportunity-for-small-businesses
  3. [3]U.S. Census Bureau, Business Trends and Outlook Survey (May 2026). census.gov/library/stories/2026/05/ai-use-businesses.html
  4. [4]Thryv, AI and Small Business Adoption survey of 540 small business decision-makers, May 2025 (Thryv sells small business software). investor.thryv.com/news/news-details/2025/AI-Adoption-Among-Small-Businesses-Surges-41-in-2025-According-to-New-Survey-from-Thryv/
  5. [5]Goldman Sachs survey of 2,473 10,000 Small Businesses alumni, August 2026, as reported by Fortune (October 23, 2026). fortune.com/2026/10/23/david-solomon-frontier-models-not-needed-small-business/
  6. [6]Invoca, Lead Conversion Benchmarks Report 2026 (more than 70 million calls across 10 industries). www.invoca.com/reports/the-invoca-lead-conversion-benchmarks-report-2026
  7. [7]Oldroyd, McElheran and Elkington, “The Short Life of Online Sales Leads,” Harvard Business Review (March 2011). hbr.org/2011/03/the-short-life-of-online-sales-leads
  8. [8]BrightLocal, Local Consumer Review Survey 2026 (1,002 U.S. consumers, February 2026). www.brightlocal.com/research/local-consumer-review-survey/

Survey figures describe the people each survey asked; for example, the Goldman Sachs surveys cover owners in its 10,000 Small Businesses program. Figures were checked against their sources on November 1, 2026.

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