United Kingdom AI market context
Enterprise adoption, technical workforce and the limits of what the data can tell you.
Read the market
United Kingdom is not scored because the 2025 snapshot lacks one or both inputs. A missing score means insufficient comparable evidence, not a weak AI market context.
0 of the ten indicators are available in this snapshot. Historical observations are displayed separately and are never silently substituted into a 2025 score.
The UK DSIT sector study uses modelled company and survey evidence. This is a source estimate of sector employment, not a count of all people with AI skills. It cannot replace Eurostat ICT employment in the score.
DSIT study, table 3.3 ↗Salary evidence for United Kingdom
See the available role-level or category figures, with source dates and pay definitions.
Explore United Kingdom salary benchmarks ↗The underlying evidence
All current values refer to 2025. Percentages use different denominators, stated below each value. “k” means thousand people.
AI adoption
2025 · Not available in this snapshot
% of enterprises with 10+ people using at least one surveyed AI technology.
2024: no observation in this snapshot
Exact source query ↗ICT specialists
2025 · Not available in this snapshot
% of total employment working as ICT specialists. A broad technical workforce proxy, not AI talent.
2024: no observation in this snapshot
Exact source query ↗ICT workforce
2025 · Not available in this snapshot
Thousands of people employed as ICT specialists. This is not a count of AI specialists.
2024: no observation in this snapshot
Exact source query ↗Language generation
2025 · Not available in this snapshot
% of enterprises with 10+ people using AI to generate written or spoken language or programming code.
2024: no observation in this snapshot
Exact source query ↗Machine learning
2025 · Not available in this snapshot
% of enterprises with 10+ people using machine learning for data analysis.
2024: no observation in this snapshot
Exact source query ↗AI workflow automation
2025 · Not available in this snapshot
% of enterprises with 10+ people using AI to automate workflows or assist decisions.
2024: no observation in this snapshot
Exact source query ↗In-house AI development
2025 · Not available in this snapshot
% of AI-using enterprises with 10+ people whose AI technologies were developed by their own employees. Different denominator from adoption.
2024: no observation in this snapshot
Exact source query ↗Expertise barrier
2025 · Not available in this snapshot
% of enterprises that considered AI but did not use it, citing lack of relevant expertise; see Eurostat denominator notes.
2024: no observation in this snapshot
Exact source query ↗Small-business adoption
2025 · Not available in this snapshot
% of enterprises with 10–49 people using AI.
2024: no observation in this snapshot
Exact source query ↗Large-business adoption
2025 · Not available in this snapshot
% of enterprises with 250+ people using AI.
2024: no observation in this snapshot
Exact source query ↗Use this in a talent decision
Check the relevant role and evidence of delivery before interpreting a national signal. A large technical workforce may offer adjacent skills; high business adoption may involve bought products. Neither tells you how many suitable people are available to hire.
For a real hiring plan, add current local vacancies, compensation, language needs, employment arrangements and the specific city or region. These inputs are not covered by this release.
What this profile does not measure
AI-specific headcount by role, salaries, seniority, vacancy rates, willingness to move, research quality and individual proficiency. The benchmark cannot infer these from ICT employment or enterprise adoption.
Sources, status flags and downloadable data · Explore the eight role guides