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    Insightful AI

    Reference

    UK AI adoption statistics

    Every UK AI adoption figure we cite across this site, gathered in one place with its publisher and its date. Quote any of it, and cite the original publisher.

    26 figures, last checked against their sources on .

    Each figure names the organisation that produced it and when. Where we hold a link to the publisher's own report, the figure links to it. Where we do not, the publisher and date are given in full rather than a guessed link.

    Adoption

    How many UK organisations use AI, and how many have decided not to.

    • 80%

      of UK businesses neither use nor plan to use AI

      From a survey of 3,500 UK businesses.

      Department for Science, Innovation and Technology (DSIT),

    • 71%

      of UK businesses cannot identify an AI use case relevant to their organisation

      Holds even among organisations already using AI tools.

      Department for Science, Innovation and Technology (DSIT),

    • 75%

      of UK organisations that have adopted AI report improved workforce productivity

      Department for Science, Innovation and Technology (DSIT),

    • 1%

      of UK organisations deploy agentic AI

      Almost every organisation starting this work begins from the same position.

      Department for Science, Innovation and Technology (DSIT),

    • 78%

      of organisations use AI in at least one business function

      Global, not UK only. Included because it is the figure most often quoted back at UK boards.

      McKinsey,

    Skills and confidence

    What people can actually do with the tools, as opposed to what they have access to.

    • 21%

      of UK workers feel confident using AI at work

      Department for Science, Innovation and Technology (DSIT),

    • 56%

      of employers using or planning to use AI rate their own knowledge as beginner or novice

      DSIT AI Adoption Research,

    • 46%

      of employees can quality-assure AI outputs to a standard that would satisfy a regulator, after training

      Measured after training, not before. Training alone does not close the assurance gap.

      DSIT Flexible AI Upskilling Fund evaluation,

    Governance and policy

    The gap between AI being used and AI being governed.

    • 7%

      of UK organisations have an embedded AI governance position

      Trustmarque AI Governance Index,

    • 54%

      of UK organisations have minimal AI governance or none at all

      Trustmarque AI Governance Index,

    • 76%

      of organisations have one person or fewer responsible for data protection

      The same people are usually asked to own AI risk as well.

      ICO Data Controller Study,

    • 71%

      of UK employees have used AI tools their organisation has not approved

      51% do so every week.

      Microsoft and Censuswide,

    • 49%

      of UK non-adopters cite data privacy and security as their primary concern about AI

      YouGov B2B Omnibus,

    • 84%

      of UK businesses that detected a breach were breached by phishing

      Relevant to AI because generative tools remove the spelling and grammar tells staff are trained to spot.

      DSIT Cyber Security Breaches Survey,

    Charities

    The voluntary sector, where AI use has risen faster than the policies covering it.

    Public sector

    Central government and local authorities.

    • 70%

      of government bodies were piloting or planning AI use

      Only 30% had risk or assurance processes that explicitly covered AI, and only 21% had an AI strategy.

      National Audit Office,

    • 95%

      of responding councils were using or exploring AI

      28% still had no AI usage policy for corporate devices, and 41% had a specific AI policy.

      Local Government Association,

    Outcomes

    What happens to AI projects after they start.

    • 42%

      of companies abandoned most of their AI initiatives in 2025

      Up from 17% the year before.

      S&P Global,

    • 80%+

      of AI projects fail, more than twice the rate of traditional IT projects

      RAND Corporation,

    • 43%

      of organisations cite data quality as the primary barrier to AI success

      Informatica CDO Insights,

    • 80%

      of organisations have encountered risky agent behaviours, including data exposure and unauthorised access

      McKinsey,

    Using these figures

    Cite the publisher named beside each figure, not this page. We gathered them; we did not produce them.

    If a figure here bears on a decision you are making, our free AI readiness assessment and charity AI health check show where your own organisation sits against them. Both are free and neither needs a call first.

    Common questions

    Can I quote these figures?
    Yes. Every figure names its publisher and its date, so cite the original publisher rather than this page. Where we hold a link to the publisher's own report, the figure links to it. A credit to Insightful AI is welcome but not required.
    How current are these figures?
    This page was last checked against its sources on 11 September 2026. Each figure carries its own publication date, which is the date that matters when you use it. Some are older than others, and the date is on the page so you can judge that yourself.
    Why are some figures missing a link?
    Because we do not have a confirmed link to the publisher's own page for that research. Those entries carry the publisher and the date in full, which is enough to find and check the source. We would rather show no link than guess one and send you to the wrong report.
    Is this every AI statistic about the UK?
    No. It is every figure this site cites, which is a narrower and more useful thing. Each one is here because it bears on a decision a UK SME, charity or public sector team has to make about adopting AI.

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