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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11Businesses are using artificial intelligence more often, but adoption is not universal and caution remains substantial. Across OECD countries with available data, firm use rose from 8.7% in 2023 to 20.2% in 2025. In the United States, a Census Bureau measure stayed between 17% and 20% from December 2025 through May 2026. At the same time, 73% of surveyed UK businesses that handle digitised data said they would be uncomfortable with that data being used to train external AI models.
Those figures are not contradictory. They measure different populations and types of AI use, while “concern” covers separate issues such as data control, policy readiness, security and workforce effects.
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How fast is business AI use growing?
The clearest international direction comes from the OECD. Among member countries with available data, 20.2% of firms reported using AI in 2025, up from 14.2% in 2024 and 8.7% in 2023. The OECD describes 2025 growth as 42.4%, slower than the previous year. These figures are not a global adoption rate; they cover participating OECD countries with data.
| Measure | Reported AI use | Scope and date |
|---|---|---|
| OECD firms | 8.7% (2023), 14.2% (2024), 20.2% (2025) | Member countries with available data |
| OECD large firms | 52.0% in 2025 | OECD size category |
| OECD small firms | 17.4% in 2025 | OECD size category |
| U.S. firms | 17%–20% | Census BTOS, December 2025–May 2026 |
| UK businesses | 30% | ONS, at least one AI technology, September 2026 |
The OECD reports the highest sector rates in information and communication technology and professional and scientific services. It suggests that the broad availability of general-purpose tools may have helped drive growth, but that is a proposed explanation rather than proof of causation.
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Why the numbers differ
An adoption percentage is meaningful only when its denominator and question are clear. Surveys may ask about a firm, an individual worker or the share of employees working at an AI-using firm. They may cover generative AI alone, AI technologies generally, or use during a particular reference period.
United States: firm, worker and workforce measures
The Census Bureau’s Business Trends and Outlook Survey provides a biweekly, nationally representative view of U.S. business AI implementation. Its review from December 14, 2025, to May 3, 2026, found use between 17% and 20%; businesses expected use over the following six months to range from 20% to 23%.
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For the collection period ending May 3, 2026, 37% of firms with at least 250 employees reported use, compared with 32% of firms with 100–249 employees. Less than 20% of firms with four or fewer employees reported use. The Census question changed in November 2025 from AI used “in producing goods or services” to AI used “in any business function,” which includes activities such as drafting emails. Comparisons across that change should therefore be treated cautiously.
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsA Federal Reserve comparison illustrates why apparently conflicting figures can all be valid. It found about 18% firm adoption at the end of 2025, about 41% of workers reporting work-related generative AI use in November 2025, and an employment-weighted estimate that 78% of the labor force worked at firms that had adopted AI. The same analysis found 35.2% of workers had used generative AI at least once in the prior week and 12% used it daily. Worker frequencies are not firm adoption rates.
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United Kingdom: size and survey design matter
The Office for National Statistics reported that 30% of UK businesses used at least one AI technology in September 2026, broadly stable from June and 20 percentage points above September 2023. Among businesses with at least 10 employees, use was 38%. It reached 51% among businesses with 250 or more employees, versus 29% among those with fewer than 10 employees. Information and communication led sectors at 60%.
A separate Department for Science, Innovation and Technology survey, conducted from October 2025 to January 2026 among 4,450 businesses, found AI use among 41% of businesses that handled digitised data. That denominator excludes businesses that did not handle such data, so it should not be compared directly with the ONS all-business estimate. In this survey, uptake was 82% among large businesses and 40% among sole traders, with 62% in information and communication.
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What businesses are worried about
External use of business data
The strongest directly measured concern is control over data used to train external models. In the 2025–2026 UK Business Data Survey, 73% of businesses handling digitised data said they would feel uncomfortable with their business data being used for that purpose: 48% were very uncomfortable and 25% somewhat uncomfortable. Only 18% said they would feel comfortable. This question concerns external training use, not every form of internal AI use.
Policies and regulatory readiness
Governance is less widespread than adoption. Among UK businesses that said they use AI, 17% reported a policy or guidance on AI use or development. Only 5% had a formal written policy, while 12% relied on informal guidance. The survey also found mixed awareness of regulatory guidance.
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The U.S. Government Accountability Office found comparable practical barriers in selected federal agencies. Officials at 10 of 12 agencies said existing federal policy, including data-privacy policy, could obstruct adoption. Agencies cited compliance requirements, limited technical resources and budgets, and the difficulty of keeping appropriate-use policies current. GAO also identified misinformation, national-security and environmental risks. These findings concern the selected federal agencies and should not be generalized to every private company.
Workforce effects
ONS asked AI-using UK businesses with at least 10 employees which roles were affected. In September 2026, 38% named administrative and clerical work, while 24% named creative or design work. Six percent said AI adoption had reduced overall headcount, and fewer than 1% said it had increased headcount. These are self-reported associations, not evidence that AI caused a particular employment change or a forecast of future job losses.
What rising adoption does—and does not—show
Growing use shows that organizations are finding enough potential value to experiment or deploy AI. It does not establish a typical productivity gain, return on investment or successful business case. The available adoption surveys measure whether and how AI is used, not whether benefits exceed costs.
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Nor does adoption prove that employees are being replaced. Size, sector, task, data sensitivity, vendor terms, implementation quality and local regulation all affect the decision. A small firm using an AI tool for occasional drafting is not equivalent to a large firm integrating models into customer operations.
Quick Recap
A cautious path for businesses considering AI
- Choose one bounded workflow. Start with a task whose inputs, outputs and human approval point can be defined.
- Classify the data. Identify confidential, personal, regulated and proprietary information before sending anything to an external service.
- Check provider terms. Confirm how prompts and uploaded files are retained, used for training, deleted and accessed.
- Set written rules. Specify approved tools, prohibited data, review requirements, record-keeping and escalation for errors or incidents.
- Measure the outcome. Track time, quality, correction work, security events and total cost rather than assuming adoption equals ROI.
- Review regularly. Models, terms, regulations and risks change quickly; update the policy and workflow controls when they do.
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