Lens
Gradual: Broad automation and transformative growth · AGI ~2040
Growth as of

Ireland

Europe · High-trust diffusers
$131,592
GDP per capita · 2025 · World Bank
AGI Growth Index
72.5
Post-AGI rate · from 2040 · Gradual
12.8%
vs trend +8.5pp · doubles every 5.8y
Growth in 2035 · Gradual
6.8%
vs trend +2.5pp
Trend, no AI
4.3%
mean 2016–2025
GDP in 2045 vs no-AI path
×2.1
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
8.2%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$500k$1.0M20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts.

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Ireland
High-trust diffusers

High-income, skilled economies with strong AI adoption, including large aging economies whose diffusion scores offset weaker demographics.

Modeled advantage: Their advantage appears during diffusion and accumulates in the years before broad automation.
Main exposure: Most have little frontier capability of their own and depend on alliance access or open-weight models; many also build slowly.
Compute & Energy Access2.9
Geopolitical Positioning4.0
AI Diffusion Capacity4.6
Language Inclusion4.9
Physical Build Speed3.5
Catch-up Headroom1.1
Demographics & Migration4.1
Cyber Resilience3.7
Climate & Environmental Resilience4.6

How this economy meets AI

Today’s production, workforce and automation baseline — context for the scenarios, outside the AGI Growth Index.

Production baseManufacturing-intensive
Workforce structureService-intensive workforce
Work organizationMostly formal
Current automationHigh current exposure

Where output comes from (% of GDP)

Agriculture 20251.1%
Industry 202537.8%
Services 202556.7%

Where people work (% of employment)

Agriculture 20253.9%
Industry 202518.2%
Services 202577.9%

Informal employment

Share of employment 20243.9%

Current automation exposure

Tasks exposed55.2%
Interpretation of these indicators

Production is relatively manufacturing-intensive. Near-term effects depend on machinery, robotics, supply chains, energy and firms’ capacity to reorganize production, as well as on language models.

Current automation, not AGI. The Global Automation Atlas measures economically plausible automation in typical workplaces around 2026. It is a useful baseline for where automation can enter today, not a forecast of exposure to gradual or fast AGI. Explore current task exposure in the Global Automation Atlas →

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.

Country brief · simulations, not forecastsDownload the earlier brief (PDF)
This brief is being updated. It was drafted before the atlas’s latest model update, so some of its growth rates, ranks and dates differ from the figures above. Where they differ, the figures above are current.

Where Ireland starts

Ireland is a High-trust diffuser: rich, skilled and fast to absorb AI, but with little frontier capability of its own. The scores show a country built for adoption. Language inclusion is 4.9 out of 5, physical build speed 4.7, AI diffusion capacity 4.6, climate resilience 4.6. An English-speaking, high-income economy that hosts Google, Meta, Microsoft and Apple, and is courted by IDA Ireland, is primed to deploy AI early. At about $131,600 per person, wealth is not the constraint. Two things are. Compute and energy access scores 2.9, because the grid around Dublin is strained and new data center connections have stalled. Catch-up headroom is 1.1: already near the frontier, Ireland has little easy convergence left. Ten-year trend growth is 3.5% a year, measured on the CSO's modified GNI* because headline GDP is distorted by multinational accounting.

The three paths

These are simulations, not forecasts. The Modest path is the baseline, and the two AGI scenarios fork from it. Under the Modest scenario, AI stays a normal technology. Ireland would grow at 3.9% a year, 45th of 157, a doubling in about 18 years. Its diffusion strengths would add a small lift and little more. Under Gradual takeoff, growth would build over two decades and reach 17.4% a year once AGI matures around 2045. That would rank Ireland 4th in the world, ahead of every G7 economy. Its head start in adoption compounds year after year, turning early deployment into durable advantage. At 17.4% growth, the economy doubles in about four years. Under Fast takeoff, growth would reach 30.6% a year from the early 2030s, a doubling every two to three years, and Ireland would hold 4th place. Its rank does not slip, because absorption still matters in a fast world. Regulation and politics could slow or redirect any path. How the Irish public and its institutions respond to transformative AI is a variable the model holds constant.

How you would know which world you are in

The three scenarios look almost identical until about 2030. The late 2020s add only fractions of a point to growth, so 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 point to a fast world; a point or two above trend by the mid-2030s to a gradual one; a fade back to trend to a modest one. Ireland's own tells would come sooner: EirGrid approvals for new data center connections, fresh hyperscaler investment announcements, and the pace of AI hiring across the Dublin tech and pharma cluster.

If growth goes explosive

Explosive is relative. At 30.6% growth a year, Ireland would still trail the frontier, where the United States compounds at 39.2%. But it would race far ahead of its region, whose median growth reaches 16.4% in a fast world. The economy would double every two to three years, so a child starting school could finish it in a country several times richer. Pharma and tech services would swell, and demand for skilled workers would rise. Ireland is already a destination for migrants, not a source, so fast growth would pull in more people rather than reverse an exodus. There is a way this leaves Ireland worse off. Its data centers are financed and controlled from abroad, and its frontier access rests on staying inside the US alliance and Tier 1 of the chip-export framework. Both can be repriced or withdrawn by decisions made elsewhere. The hedge is to own more of the capacity it hosts and to keep that access secure. Even then, the pace-setter would shift to the state, testing EirGrid, the planning system and a Revenue service that leans on a handful of multinationals.

What Ireland can do now

Three levers follow from the scores. Start with the no-regret one: geopolitical positioning, already a strength at 4. Its weight barely changes across scenarios, so it pays off whether or not AGI arrives. The task is to protect it: deepen alignment with chip-supplying partners, keep Tier 1 access, and negotiate investment-screening carve-outs. A cautious government can act here today and lose nothing. The second lever is the big bet: compute and energy access, at 2.9 the country's heaviest lever under a fast takeoff. It means fixing the grid — fast-tracking interconnection and new generation, and streamlining permits so power and land packages can anchor data centers Ireland part-owns. The third lever, catch-up headroom at 1.1, is structurally low for so rich a country; the useful move is to guard the openness to trade, FDI and technology transfer that built the current model. Ireland can adapt a working idea from a peer: the UK's AI Growth Zones pre-clear power and planning for compute, with Culham first in line. To test how these scores move Ireland's path under each scenario, open the atlas's policy editor.

Use the policy editor to test how different factor scores change Ireland’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.

For government planning · compatible with any AI model

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 Ireland: 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

No score targets included. Set them in the policy editor.

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.