UK AI use triples while transformation stalls
Three years ago, roughly one in eight UK businesses with ten or more employees reported using artificial intelligence; today, the Office for National Statistics puts that figure at around one in three, a near-tripling that reflects how quickly AI has moved from specialist tool to mainstream workplace technology. The numbers tell a compelling story of expansion. […] This story continues at The Next Web
Artificial intelligence use among UK businesses has nearly tripled since 2023, reaching 35% according to the Office for National Statistics. However, the average adopting firm uses just 1.6 AI technologies, indicating that expansion is largely superficial.
Large language models lead deployment at 18%, followed by visual content tools at 16% and machine learning data processing at 12%. The technology remains heavily concentrated in digitally mature sectors like information and communication, where 58% of firms use AI, leaving labour-intensive industries further behind.
This shallow integration carries significant economic implications. Similar patterns are emerging across the EU, where broad adoption figures mask a narrow subset of companies actually extracting business value. While three-quarters of adopters report productivity gains, only around 12% have seen increased revenue. This represents a fundamental puzzle for investors: a $256 billion UK AI startup ecosystem is not yet translating into widespread corporate profitability.
Scott Pope, Director of Value Advisory at Nexthink, argues the stagnation is structural. “AI adoption in the UK is widening but not deepening, and the reason is a culture problem as much as a technology one,” he said. “Too many businesses treat AI as a cost-cutting exercise rather than a way to create genuine value, and moving beyond that requires a shift in mindset.” Just 7% of UK organisations are currently pursuing an enterprise-wide AI strategy.
Pope identifies a lack of internal data as the primary barrier to deeper investment. “What holds leaders back is uncertainty,” he said, noting that executives often cannot track which tools are saving time or creating risk. This uncertainty forces conservative rollouts, limiting the evidence needed to justify scaling up. “Visibility, data, and insights turn those question marks into answers,” he added.
Public investment is attempting to accelerate the transition. At London Tech Week in June, the government announced a £1.3 billion hardware plan alongside a £200 million adoption package. Prime Minister Starmer has urged the country to “push past” fears about the technology. Yet with 41% of businesses reporting zero barriers to adoption, often because they are already using AI at a basic level, the core obstacle is not fear. It is the organisational readiness required to move from basic tool use to genuine transformation.
