How Much Time Do AI Tools Actually Save a Small Business Owner?

How Much Time Do AI Tools Save Small Business Owners? The Research

Named research puts AI's time savings for small businesses on a wide range depending on the task: about 12 hours a month on AI-assisted bookkeeping (Intuit, 2025), an expected 20 hours a month on general admin (Thryv, 2024), and 10 or more hours a week on marketing content (HubSpot, 2025) — plus a 14% productivity gain in a controlled customer-support study (NBER, 2023).

AI Productivity Statistics for Small Business, by Task

Below is the task-level figure for each category this article covers, with the study behind it. Where a number reflects a prediction rather than a measured result, that's noted in the table itself.

Writing and Marketing: The Biggest Reported Gains

Content creation is where the largest AI time-savings numbers show up, and it isn't close. HubSpot's State of Artificial Intelligence in 2025 report, based on original survey data from more than 1,500 U.S. professionals, found that 67% of marketing teams report saving 10 or more hours a week using generative AI, with 68% saying it has meaningfully increased their productivity (HubSpot, 2025).

A separate, more tightly controlled study backs up the direction of that finding even though it wasn't run on small-business owners. Harvard Business School and Boston Consulting Group's field experiment gave 758 consultants realistic knowledge-work tasks with and without AI access, and found that AI users completed their work more than 25% faster and finished 12% more tasks, on the subset of tasks that fell within the tool's actual capabilities (Dell'Acqua et al., 2023). Outside that frontier, on a task the tool handled badly, consultants using AI were markedly less likely to reach the right answer — which is the point the study's title is making. It's about knowledge workers generally, not small-business owners specifically, but it's a controlled experiment rather than a self-reported survey.

Admin, Scheduling, and Bookkeeping: Smaller, but Real

Routine back-office work shows smaller, more specific time savings than marketing does, because the automation tends to be narrower. Thryv's April 2024 survey of 530 small-business decision-makers found more than half of AI users expect to save up to 20 hours a month, alongside $500–$2,000, from offloading repetitive tasks (Thryv, 2024).

Bookkeeping shows the most specific, feature-level number in this set. Intuit's survey of QuickBooks Online customers using its AI-powered bank feed as of April 2025 (published October 2025) found that 45% of them save 12 hours each month on bookkeeping, primarily transaction categorization and reconciliation (Intuit, 2025). That's roughly three hours a week, well below the marketing figures above, which tracks: categorizing transactions is narrower and more repetitive than drafting content. For more on where AI tools fit into day-to-day bookkeeping, see AI bookkeeping for small business.

Customer Support: The One Study With a Control Group

Most of the numbers in this article come from surveys, which ask people to estimate or recall their own time savings. The exception is a 2023 NBER working paper by Erik Brynjolfsson, Danielle Li, and Lindsey Raymond, "Generative AI at Work," which studied the staggered rollout of a generative AI assistant to 5,179 customer support agents at a real company (NBER Working Paper 31161). Because the rollout happened in stages, the researchers could compare agents with and without the tool at the same point in time, rather than relying on self-reports.

Access to the tool increased productivity, measured as issues resolved per hour, by 14% on average (Brynjolfsson et al., NBER, 2023), with a 34% improvement for newer and less-experienced agents and a much smaller effect for already-experienced ones. That's a lower headline number than the survey-based marketing figures above, but it's the one number in this article measured against a real baseline rather than reported after the fact.

Compliance and Legal Admin: Mostly Predictions, Not Measurements

This is the category with the thinnest measured data, and it's worth saying so directly rather than rounding a softer number up. Thomson Reuters Institute's 2024 Future of Professionals report surveyed more than 2,200 legal, tax and accounting, and risk and compliance professionals across the U.S., U.K., Canada, Latin America, and Australia/New Zealand (about 44% U.S.-based) and asked them to predict, not report, how much time AI could save them. Respondents predicted roughly 4 hours a week within the next year, growing to a predicted 12 hours a week by 2029 (Thomson Reuters, 2024).

Those are expectations, not results from a completed year of use, so this figure belongs here with that caveat attached, not presented as an already-measured number.

How to Measure Your Own Time Savings

Industry surveys are a useful benchmark, but the only number that reflects your actual workflow is one you measure yourself. This doesn't require anything more sophisticated than a timer and two weeks of notes.

The Honest Caveats

The practical takeaway isn't to distrust every number in this article. It's to treat task-specific, vendor-reported figures as a directional benchmark, and controlled studies like the NBER paper as a more conservative floor. For a broader look at where AI tools tend to help (and where they don't) across day-to-day business admin, see ChatGPT for business admin.

General-purpose AI tools save time on open-ended tasks like drafting and summarizing, but they don't track your state deadlines for you. That's a different kind of time savings, and it's what a dedicated platform like CompanySage's Business Success Platform™ is built to track in the background, on a compliance plan. See how CompanySage works for the formation and compliance side of that equation.