SMF: wider AI adoption could add £43bn to UK small business revenues
A new report from the Social Market Foundation (SMF) estimates that broader AI adoption among small and medium-sized businesses in Great Britain could generate between £38 billion and £47 billion in additional revenues, with the central scenario pegged at £42.6 billion. The research, published on 19 October 2026 and sponsored by financial-software group Intuit, draws on a survey of 1,015 senior SME decision-makers alongside ONS data on output, earnings, qualifications and business numbers.
The central scenario assumes a further 18% of SMEs adopt AI tools, broadly matching the proportion of survey respondents who said they intended to do so. SMEs already using AI reported an average revenue uplift of approximately 2.8%, though the SMF modelled a slightly more conservative 2.3% gain for later adopters on the assumption that early movers capture disproportionate advantage. The upside scenario of £47.3 billion assumes adoption outpaces current intentions; the downside of £38.1 billion reflects a stall.
Regional picture
In absolute terms, London stands to gain most, with the SMF's central scenario attributing roughly £10 billion to the capital, followed by the South East at £6.3 billion and the East of England and North West at £4.3 billion each. The relative picture is more nuanced: the East Midlands, East of England and West Midlands score highest as a share of their local economies, because SMEs account for a larger proportion of output in those regions than in London.
Time savings (cited by 88% of AI-using respondents) and quality improvements (79%) are the most widely reported benefits, largely independent of firm size or sector. The SMF also found that advanced AI users consistently outperform basic users, and that specialist tools show a stronger association with positive outcomes than general-purpose LLM chatbots, a finding likely to interest enterprise-software vendors building vertical AI applications for the SME market.
Contrary to widespread concern about AI-driven redundancies, surveyed business leaders were 1.8 times more likely to report headcount growth than decline. The majority, 63%, reported no employment change in either direction.
Policy recommendations and market context
The SMF identifies data security concerns (33%), quality and reliability doubts (31%) and skills gaps (26%) as the primary barriers to deeper adoption. The report calls on government to launch a national awareness campaign, introduce a tiered "Help to Grow: AI" scheme combining financial support with advisory services and a "CTO-as-a-service" platform, and build an assurance ecosystem including standardised model cards and a repository of pre-approved AI systems for SMEs.
Jake Shepherd, senior researcher at the SMF, said: "The challenge for SMEs is not simply encouraging adoption, but also enabling them to move beyond experimentation towards more extensive integration. A good policy package, beyond just financial incentives, can help achieve this."
The SMF report arrives at a moment when AI adoption policy is live across multiple UK government workstreams. The AI Opportunities Action Plan, published earlier in 2026, set out ambitions for broader economic diffusion of AI, and the Department for Science, Innovation and Technology has flagged SME accessibility as a priority. The report's policy prescriptions, particularly around assurance frameworks and data interoperability standards, also intersect with ongoing work by the Digital Markets, Competition and Consumers Act regime and the AI Safety Institute's evaluation portfolio.
The research was commissioned by Intuit, whose QuickBooks and related platforms serve a large SME base. The SMF states it retains full editorial independence. Readers should note the sponsor relationship when weighing the framing of findings around the commercial case for AI tooling adoption.