United Kingdom
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.
Factor profile
High-income, skilled economies with strong AI adoption, including large aging economies whose diffusion scores offset weaker demographics.
How this economy meets AI
Today’s production, workforce and automation baseline — context for the scenarios, outside the AGI Growth Index.
Where output comes from (% of GDP)
Where people work (% of employment)
Informal employment
Current automation exposure
A large share of activity takes place in formal service workplaces. This creates scope for early productivity gains and greater exposure to task displacement and workplace reorganization.
Sources: World Bank WDI; ILOSTAT; Global Automation Atlas (Garg, Crosta & Baier, 2026). The latest available year is shown for each measure; vintages differ, so shares may not sum to 100.
Where the United Kingdom starts
The UK is one of Europe's high-trust diffusers: rich, skilled economies that absorb AI fast. Its scores show why. AI diffusion capacity is 4.9 out of 5, among the world's highest, and language inclusion is 4.9, since English is the default of the frontier models. Cyber resilience is 4.6. Behind these marks sit strong institutions, deep financial and professional services in the City of London, and world-class universities and labs such as Google DeepMind. The constraints are physical and structural. Catch-up headroom is only 1.8, because the economy already sits near the frontier. Physical build speed is 3.1, held back by slow permitting and a long grid connection queue. Ten-year trend growth is a slow 1.5% a year. At about $58,000 per person, this is a high-income economy.
The three paths
These are simulations, not forecasts. The Modest path is the baseline; the two AGI scenarios fork from it. Under the Modest scenario, AI stays a normal technology. The UK would gain a small lift to 2% growth a year, ranking 115th of 157. Its low catch-up headroom leaves little room to grow fast when AI is ordinary; already-rich economies rise slowly. Under Gradual takeoff, growth would climb for two decades and reach 16.9% a year once AGI matures around 2045, placing the UK 5th in the world. Its deep pool of skills, high adoption and open institutions would turn the diffusion era into a compounding head start. An economy growing at 16.9% doubles in about four and a half years. Under Fast takeoff, growth would reach 28.9% a year from the early 2030s, a doubling every two to three years, ranking 6th. The rank slips one place, because a fast world rewards the frontier compute the UK does not fully own. Regulation and politics could slow or redirect any path. How Britons and their government respond to transformative AI is a variable the model holds constant.
How you would know which world you are in
The scenarios look almost the same until about 2030. Watch leading indicators, not GDP, and check them live. Three global signals matter most. First, whether the METR task horizon curve keeps doubling every four to five months through 2027–28; METR publishes it at metr.org. Second, whether frontier lab revenue and capital spending keep compounding; Epoch AI tracks both at epoch.ai. Third, whether growth in the ten to twenty most-ready economies — the United States and China above all — breaks above trend in the early 2030s. Double-digit growth there within a couple of years of 2030 would signal a fast world. A point or two above trend by the mid-2030s would signal a gradual one. A fade back to trend would signal a modest one. The UK's own signals would arrive earlier than GDP: new data center approvals and grid connection dates, the pace of Google DeepMind's output, the expansion of the Isambard-AI supercomputer and AI Research Resource, and how fast banks and the NHS deploy AI at scale.
If growth goes explosive
Explosive is relative. At 16.9% growth a year under Gradual, the UK would run far ahead of its region's median of 10.4%, but still trail a frontier compounding at 19.5%. Under Fast, its 28.9% would sit below the frontier's 39.2%. Either way this transforms a 1.5% economy. At 16.9%, output doubles in about four and a half years; under Fast, every two to three. A child starting school could finish it in a country several times richer. Financial and professional services, already the UK's core, could expand fastest, and rising wages would draw workers rather than send them abroad. There is a way this leaves the UK behind. It absorbs AI brilliantly but owns little of the frontier. Its access to the best models rests on alliance inclusion and on open weights staying near the frontier, decisions made in Washington and in American labs. If that access narrows, Britain becomes a rule-taker in another power's chip regime. The hedge is sovereign compute and energy of its own. Even then, the pace-setter would shift to the state, testing how fast the planning system, National Grid, Ofgem and the courts can approve, connect and adjudicate.
What the United Kingdom can do now
Three levers follow from the scores, and the first pays off whether or not AGI arrives. Physical build speed, at 3.1, is the no-regret move. Faster permitting, pre-zoned land and transmission built ahead of demand would raise growth under every scenario, and they are the reforms Britain needs for housing and energy anyway. Statutory shot clocks and limits on drawn-out legal challenge would help most. The second lever is the bet: compute and energy access, at 3.4, carries the most weight of any factor and climbs steeply toward the Fast scenario. It barely moves growth if AI stays ordinary, but under a fast takeoff it becomes decisive. Closing it means power and land packages to anchor hyperscale data centers, and securing chip access through alliances. France shows the model: at its 2025 AI summit it paired nuclear power with land to court data center investment. The third lever, catch-up headroom at 1.8, is largely structural for an economy already near the frontier; here the task is to protect open trade and investment, not chase a number. A cautious government can act on build speed today at no loss. Open the atlas's policy editor to see how moving these scores reshapes each path.
Use the policy editor to test how different factor scores change United Kingdom’s modeled path. The roadmap builder below can then incorporate those targets into a 1,000-day planning prompt.
Drafted with Claude, Anthropic’s AI model, from the atlas’s data and an editorial template set by the author.
Create a 1000-day AGI and growth roadmap prompt
This prompt can be used with Claude, ChatGPT or an open-weight model hosted on your institution’s systems. It includes the atlas material for United Kingdom: the country brief, economic structure, region, archetype and global scenarios. It instructs the model to ask for local information, use existing strategies and the political calendar, and preserve the atlas’s interpretation rules. The prompt is assembled in your browser; the information entered here is not sent elsewhere.
1 · Read the brief → 2 · Set targets in the policy editor → 3 · Generate and copy the prompt → 4 · Run it with an approved model, with high reasoning effort and web access where permitted
Instructions are generated in the selected language; the data annex remains in English. Translations are machine-drafted, and corrections from native speakers are welcome through the contact links on the start page.