Artificial intelligence adoption has doubled among UK businesses in a year, reaching 32%, although new government research shows that most companies using the technology are reporting relatively modest productivity gains.
The 2026 AI Adoption Survey found that almost one in three businesses now use at least one AI technology, compared with 16% in 2025. The results are based on 3,503 telephone interviews conducted between January and April 2026, supported by 50 follow-up interviews and seven company visits.
Adoption varies considerably between sectors. Information and communication businesses reported the highest uptake at 61%, followed by real estate at 45% and business services and administration at 39%.
Larger organisations were also more likely to use AI, with adoption reaching 52% among those businesses. The disparity reflects different levels of access to specialist staff, investment resources, and the technical infrastructure needed to introduce new systems.
Despite growing interest in advanced applications, most adoption remains concentrated on accessible technologies such as text generation and natural language processing. Large language model-based approaches were reported by 77% of businesses either using AI or planning to introduce it.
Administrative functions accounted for the most widespread use, identified by 81% of the relevant respondents. Marketing followed at 71%, while 66% reported using AI within IT activities.
Improving efficiency and productivity was the leading motivation, cited by 71% of businesses. Better employee experience and competitive advantage were less frequently identified, at 27% and 25% respectively.
For businesses already using AI, the technology is becoming a regular part of work. Some 57% reported constant usage and another 27% used it at least weekly. However, the frequency of use has not translated into equivalent financial improvements across the survey population.
Half of adopters reported an overall increase in productivity, with most describing the improvements as modest. Some 24% reported reductions in operating costs, while 64% had experienced no immediate financial effect and 9% said costs had increased.
Businesses described gains from automating routine activities and improving existing processes rather than replacing established operating models. The findings distinguish the successful completion of individual tasks from wider improvements in company profitability.
Direct spending also remained relatively limited for many organisations. Among respondents able to estimate their AI expenditure, 47% reported no spending during 2025, consistent with the availability of free applications and AI features already incorporated into existing business software.
Nevertheless, implementation continues to encounter practical obstacles. Limited skills, expertise, or knowledge were identified as a barrier by 67% of adopters and 78% of businesses planning to introduce AI.
Uncertainty over commercial returns was especially significant among non-adopters, with 65% identifying the absence of a clear business case or proven return on investment as an obstacle. Concerns about accuracy and bias were also widespread, reported by 56% of adopters and 60% of prospective users.
These reservations are reflected in how businesses supervise AI systems. Some 81% reported applying human input or oversight to AI-generated outputs, particularly where information could influence important operational or commercial decisions.
Investment plans suggest continued expansion, with 65% of businesses covered by the relevant questions expecting AI budgets to rise. Planned expenditure is concentrated on packaged applications, task automation, and the integration of AI into existing systems.
The survey also found that only 14% of businesses regarded AI as highly or critically important to their operations. The evidence points to increasingly widespread use of the technology, while substantial changes to business processes and financial performance remain less common.
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