UK AI Adoption Statistics 2026: How People and Businesses Use AI

UK AI adoption is growing, but the headline depends on what is being measured. The latest Department for Science, Innovation and Technology (DSIT) survey found that 59% of UK adults had used generative AI in the previous three months.
A separate government business survey found that 32% of UK businesses were using at least one AI technology in 2026, twice the 16% reported in 2025. These are different surveys, with different questions and populations, so they should not be treated as one combined adoption rate.
This guide brings together the most useful UK AI statistics available as at 7 November 2026. It explains what each figure measures, who was surveyed, what the numbers suggest for workers and businesses, and where the evidence has important limits. The aim is not to make AI adoption sound bigger than it is; it is to give readers figures they can check and use responsibly.

UK AI statistics 2026: the key figures
These are the headline figures worth knowing. Read the description beside each percentage: some relate to all adults or all businesses, while others apply only to people or organisations already using or considering AI.
59% of UK adults used generative AI in the previous three months, according to DSIT's 2025/2026 Public Engagement Survey.
56% of UK adults had used AI that creates human-like text or speech in response to queries during the previous three months.
97% of UK adults said they were at least aware of artificial intelligence.
32% of UK businesses used at least one AI technology in the 2026 DSIT business survey, compared with 16% in 2025.
30% of all UK businesses reported using at least one AI technology in the ONS survey for September 2026; the figure was 51% among businesses with 250 or more employees.
74% of UK adults were concerned that information produced by AI might be inaccurate.
Among businesses using or planning to use AI, administration was the most commonly reported business function for AI use (81%), followed by marketing (71%) and IT (66%).
The figures come from three official sources: DSIT's public survey of adults, DSIT's survey of businesses and the Office for National Statistics (ONS) Business Insights and Conditions Survey. The surveys answer related questions, but their definitions, sampling frames and fieldwork dates differ.
How many people in the UK use AI?
The clearest recent public measure comes from the DSIT Public Engagement Survey 2025/2026, published on 16 July 2026. It found that 59% of adults in the UK had used some form of generative AI in the previous three months. The survey covers adults aged 16 and over and reports the period November 2025 to March 2026. It is a nationally representative annual survey, rather than a count of ChatGPT accounts.
Generative AI includes tools that create new text, images, audio, video or other content in response to instructions. It is broader than ChatGPT. Someone answering yes could have used ChatGPT, another AI chatbot, an image generator or a different generative tool. The 59% figure must therefore not be presented as the percentage of UK adults who use ChatGPT.
The same survey found that 56% of adults had used AI that creates human-like text or speech in response to queries during the previous three months. This is a closer fit for conversational AI tools, but it still includes more than one product. A further 54% had used AI-powered digital assistants that understand natural language. Those categories can overlap because respondents could report more than one type of use.
Awareness is almost universal: 97% of adults said they were at least aware of AI. Awareness, however, is not the same as regular use, confidence or skill. A person may recognise the term AI without having tried a chatbot or knowing how to check its answers.
Who is most likely to use generative AI?
Use varies considerably by age. DSIT found that usage was 75% or higher among adults below the age of 45. It then declined with age, reaching 18% among people aged 75 to 84 and 8% among those aged 85 or over.
This difference matters when businesses, public services and educators design AI guidance: a single training approach will not suit everyone.
Education was also associated with reported use. Three-quarters of adults with a degree-level qualification or above had used generative AI in the previous three months. The figure was 48% for people with another qualification and 19% for respondents with no qualifications.
These are survey associations, not proof that education alone causes someone to use AI. Access, job role, confidence and familiarity with digital tools may also matter.
There were regional differences too. London had the highest reported use at 69%, while the North East of England had the lowest at 51%.
These figures describe regional survey estimates, not a league table of how innovative each region is. Local industries, age profiles, education and other factors can influence the results.
What do people use AI for, and what worries them?
Among generative AI users in the survey's online sample, 83% said they had used it for personal reasons and 54% for work. The online-sample qualification is important: these more detailed setting questions were not included in the paper questionnaire, so they should not be described as a fully representative estimate for every UK adult.
The perceived benefit most often reported was easier access to information or advice, selected by 47% of adults. Yet the survey also found that 74% were concerned that AI-generated information might be inaccurate. Privacy and security were another major concern, reported by 69%.
These findings point to a practical lesson: people value the speed and convenience of AI, but they still need clear guidance on checking facts and protecting personal information.
For readers using ChatGPT, this is why a useful guide should explain both what the tool can do and how to verify an answer. Our separate resource, ChatGPT statistics 2026: users, usage and UK figures, focuses specifically on ChatGPT figures and distinguishes them from wider AI adoption statistics.
How many UK businesses use AI?
DSIT's AI Adoption Survey 2026, published on 29 October 2026, found that 32% of UK businesses were using at least one AI technology. The equivalent figure in the 2025 survey was 16%, so the measured share doubled between the two survey waves.
The 2026 research included 3,503 business interviews conducted by telephone between 7 January and 21 April 2026, supported by follow-up interviews and case studies.

Adoption was not evenly spread. The survey reported higher use among larger firms, at 52%, and among knowledge-intensive sectors. Information and communication businesses recorded 61% adoption, real estate 45%, and business services and administration 39%. A national average can therefore hide large differences between sectors and business sizes.
The survey also looked at how businesses were applying AI.
Among businesses using or planning to use AI, 77% reported large language model-based approaches. The most common business functions were administration (81%), marketing (71%) and IT (66%). These percentages refer to the group using or planning to use AI, not to every UK business.
The main driver was improving efficiency and productivity, cited by 71% of businesses using or planning to use AI. Other reasons included improving employee experience (27%) and gaining competitive advantage (25%). The results suggest that many organisations start with familiar tasks such as drafting, summarising, information retrieval and routine administration rather than immediately redesigning their whole operation.
Is AI making UK businesses more productive?
The 2026 DSIT survey found that 71% of AI adopters reported improvements in workforce productivity as a benefit, while 60% reported more efficient or flexible processes. Half of adopters said they had seen an overall increase in productivity. The report describes many of these gains as modest and incremental, often linked to task automation and workflow improvements.
The cost picture was less clear-cut. Among businesses using AI, 64% reported no immediate financial effect, 24% reported reduced operating costs and 9% reported an increase. This is a useful reminder not to assume that adopting an AI tool automatically produces a measurable saving. Businesses still need to identify the task, establish a baseline, measure the result and account for implementation time, checking and rework.
Skills were a significant barrier. Limited AI skills, expertise or understanding of use cases affected 67% of businesses that had adopted AI and 78% of those planning to adopt it. Accuracy and bias concerns were also common. In other words, access to a chatbot is not the same as having the knowledge, controls and processes needed to use it well.
What does the latest ONS data show?
The ONS Business Insights and Conditions Survey provides another view of business adoption. Its bulletin dated 8 October 2026 reported that 30% of all UK businesses used at least one AI technology in September 2026.
Among businesses with 250 or more employees, the proportion was 51%. The ONS also reported that 38% of businesses with 10 or more employees that used AI said administrative and clerical roles were the most affected.
The ONS labels these as official statistics in development and advises caution. Its survey covers a different business population and uses a different method from the DSIT AI Adoption Survey. That is why the ONS figure of 30% should not be treated as a correction to DSIT's 32%. They are separate estimates from separate surveys.

An earlier ONS analysis, published on 20 July 2026, found that AI use among businesses with 10 or more employees had risen from around 12% in late 2023 to around 35% in June 2026. It also found that the average number of AI technologies used by adopting businesses had moved only modestly, from around 1.4 to 1.6. This suggests that adoption can increase faster than the depth of integration.
What do these AI statistics mean for workers and small businesses?
For employees, the figures suggest that AI literacy is becoming a useful workplace skill, but it does not mean every role will be transformed in the same way. The most commonly reported applications are currently concentrated in administrative, marketing and IT tasks.
Workers can prepare by learning how to write clear instructions, check outputs, protect confidential information and recognise tasks where human judgement remains essential.
For a small business, the best starting point is not to buy several AI subscriptions.
Choose one repetitive, low-risk process and test whether AI makes it faster or clearer. Examples include drafting a first version of a customer email, summarising a non-sensitive meeting note, creating a checklist or generating ideas for a marketing plan.
Do not upload customer records, payment information, employee details or confidential business material unless the tool and your organisation's policy explicitly allow it.
Measure the result rather than relying on enthusiasm.
Record how long the task takes now, how much editing is needed, whether errors increase and whether the final result is genuinely better for the customer. If the tool saves five minutes but creates ten minutes of checking, it has not improved the process.
If you want practical examples, see our ChatGPT prompts for small business guide. It provides sample prompts for common small-business tasks, with reminders to check facts and avoid inventing prices, policies or promises.
What these statistics do not tell us
These figures are useful, but they are not a complete measure of AI's effect on the UK. Surveys rely on what people and businesses report.
Respondents may interpret the word AI differently, forget occasional use or be unsure whether a feature inside software counts as AI. The results also reflect specific fieldwork periods, not a live count of today's users.
Adoption does not prove productivity.
A business can say it uses AI without using it often, embedding it into core processes or measuring a financial return. Likewise, a person who has tried a chatbot once is counted as having used generative AI within the survey period, even if they never use it again.
Frequency, depth and outcomes need separate measures.
The surveys also do not provide a verified UK-only ChatGPT user count. DSIT's 59% figure is for generative AI generally, while the ONS and DSIT business surveys measure business use of AI technologies. For product-specific ChatGPT user and subscriber figures, use our ChatGPT statistics 2026 page and read the source notes beside each number.
How to use AI statistics responsibly
Name the source and publication date. Do not quote a percentage without telling readers where it came from.
Keep the population attached to the number. A statistic about AI adopters is not a statistic about all businesses.
Keep the definition attached to the number. Generative AI, conversational AI, digital assistants and all AI technologies are not interchangeable.
Do not combine surveys as if they were one time series. Different questions and samples can produce different estimates.
Separate adoption from impact. A business using AI has not necessarily improved productivity or reduced costs.
Frequently asked questions about UK AI adoption
What percentage of UK adults use generative AI?
The DSIT Public Engagement Survey 2025/2026 found that 59% of UK adults had used generative AI in the previous three months. This includes more than ChatGPT and should not be presented as a ChatGPT-only usage figure.
What percentage of UK businesses use AI?
DSIT's 2026 AI Adoption Survey found that 32% of UK businesses used at least one AI technology, compared with 16% in 2025. The ONS reported a separate estimate of 30% of all businesses in September 2026. The surveys use different methods and should be read separately.
Which industries use AI the most in the UK?
In DSIT's 2026 business survey, information and communication had the highest reported adoption among the sectors highlighted, at 61%. Real estate was at 45%, and business services and administration at 39%.
Does the 59% figure mean 59% of people use ChatGPT?
No. It measures use of generative AI as a category. It includes ChatGPT and other tools, and it does not provide a UK-only ChatGPT user count.
Are AI tools making businesses more productive?
Some businesses report productivity benefits, but the results are not universal. In the 2026 DSIT survey, half of AI adopters reported an overall increase in productivity, and many described the gains as modest. Businesses should measure their own results rather than assume a benefit.
Sources and methodology
This article was checked on 7 November 2026. The figures below are taken from official UK statistical publications. We prioritised primary government and ONS sources and have retained the survey dates and population descriptions so readers can assess what each statistic means.
DSIT Public Engagement Survey 2025/2026 — published 16 July 2026; UK adults aged 16 and over; fieldwork November 2025 to March 2026.
DSIT AI Adoption Survey 2026: executive summary — published 29 October 2026; 3,503 business interviews conducted 7 January to 21 April 2026.
ONS Business insights and impact on the UK economy: 8 October 2026 — ONS Business Insights and Conditions Survey, including September 2026 AI adoption estimates; official statistics in development.
ONS Artificial intelligence in UK businesses: 2023 to 2026 — analysis published 20 July 2026 using the Business Insights and Conditions Survey.
Figures may change as new survey waves are published. We will update this article when an official source provides a newer comparable estimate; we will not replace one measure with another simply because the percentage is different.















