AI adoption in UK businesses in 2026: what the data says.
More UK businesses use AI than ever, but most use it lightly, and the reasons the rest hold back are surprisingly consistent. Here's what the official figures and the latest SME surveys show, and what it means if you run an established business.
In short: about a third of UK businesses with ten or more staff now use AI, nearly three times the 2023 figure. But most use only one or two kinds of tool, few have trained their staff, and the biggest barrier isn't cost. It's not knowing where AI fits.
How many UK businesses use AI?
The Office for National Statistics tracks this through its fortnightly business survey. In late June 2026, about 35% of UK businesses with ten or more employees said they used at least one AI technology, up from roughly 12% in autumn 2023. Larger firms lead: about half of businesses with 250 or more staff use AI, against 28% of the smallest.
| Group | Using AI (June 2026) |
|---|---|
| All businesses with 10+ employees | 35% |
| Businesses with 0 to 9 employees | 28% |
| Businesses with 250+ employees | 49% |
| Information and communication sector | 58% |
| Construction sector | 13% |
Source: ONS, AI in UK businesses, 2023 to 2026.
The government's own AI Adoption Research, based on fieldwork in spring 2025, puts the figure lower, at 16% of businesses with five or more staff. The two surveys ask different questions at different times, but both show the same shape: adoption is rising fastest in larger and more digital firms.
Small business surveys suggest everyday use of general tools is wider still. Simply Business found 47% of UK small business owners using AI tools in summer 2026, more than double the year before, mostly for writing content, solving problems, generating ideas and saving admin time.
How deeply are they using it?
Not very, yet. The ONS found the average AI-using business uses about 1.6 kinds of AI technology, barely up from 1.4 in 2023. Only around one in ten describe their use as extensive. Language models such as ChatGPT are the most common type, followed by image and content generation.
Training lags well behind. Only 11% of businesses say more than half their workforce has had any AI-related training, and only 15% say more than half their staff use AI in their daily work. In practice, that means a few enthusiasts using free tools on their own, with no shared rules.
What stops the rest?
The government research asked businesses not using AI what was in the way. The answers point to understanding, not money.
| Barrier to adopting AI | Share citing it |
|---|---|
| No identified need for AI | 71% |
| Limited AI skills, expertise or knowledge | 60% |
| Lack of tools or platforms | 48% |
| Too complex to integrate and scale | 29% |
| Unclear regulation | 28% |
| High cost | 23% |
Source: DSIT, AI Adoption Research, published January 2026.
Small business surveys tell the same story from another angle. Simply Business found 44% worried about security and privacy and 39% unable to see a clear use. In the IONOS and YouGov survey of 1,001 UK small and medium-sized businesses, half feared data theft and nearly half worried about AI getting things wrong. 29% have set no AI budget at all for 2026, and 63% believe they could stay competitive for two more years without AI.
What this means for your business
- The hard part is choosing, not buying. With most non-adopters saying they can't see the need, the first job is to find the two or three places AI pays in your business specifically.
- Your people are probably already using it. If half of small business owners use AI tools, some of your staff do too. A short usage policy makes that safe before anything else.
- Training is the cheapest gain available. With so few firms training most of their staff, a team that uses the tools well on its own work is a real advantage.
- Depth beats breadth. One process genuinely automated is worth more than ten people using a chatbot occasionally.
- Software firms are already ahead. At 58%, the information and communication sector has the highest adoption. If you build software and AI hasn't changed how you work yet, your competitors' teams are probably already changing theirs.
If you'd like to know where AI fits in your own business, that's exactly what the two-week AI Direction Review answers.
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