Work & marketsCognition & learningSystemic riskUnited KingdomResearch
Ashraf, Coyle and Debnath, “Code, capital, and clusters: understanding firm performance in the UK AI economy”
A study combining Companies House, Office for National Statistics, and glass.ai data on UK AI entities from 2000–2024 finds that 41.3% are concentrated in London. Firm size and the intensity of AI specialization are the main revenue drivers, while local qualification rates, population density, and employment make smaller but significant contributions. Forecasts point to 4,651 entities by 2030, alongside slower expansion and a rising dissolution ratio that the authors interpret as a move toward consolidation.
AI-sector growth can coexist with geographic concentration and consolidation, making skills, capital access, and place-sensitive policy part of competition strategy.
Why it matters
The study links firm outcomes to the surrounding ecosystem. Its policy implication is not simply to create more startups, but to distinguish support for scaling from support for deeper technical specialization and to build regional capabilities outside London where capital and skills constraints differ.
The 2030 figures are model forecasts with uncertainty ranges, not a settled future, and Nature labels the article as an unedited early-access manuscript. The current evidence nonetheless shows that national growth totals can conceal where economic opportunity and market power are accumulating.
Primary trail
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