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

Portugal

Europe · High-trust diffusers
$32,082
GDP per capita · 2025 · World Bank
AGI Growth Index
59.7
Post-AGI rate · from 2040 · Gradual
8%
vs trend +5.7pp · doubles every 9y
Growth in 2035 · Gradual
4%
vs trend +1.7pp
Trend, no AI
2.3%
mean 2016–2025
GDP in 2045 vs no-AI path
×1.66
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
4.9%
ramp included · comparable across scenarios

GDP per capita to 2060, by scenario

0$50k$100k$150k20252030203520402045205020552060Fast AGIGradual AGI
ModestGradualFastdashed = no AI

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

Factor profile

ComputeGeopoliticsDiffusionLanguageBuildCatch-upDemographicsCyberClimate
Portugal
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 Access1.7
Geopolitical Positioning3.5
AI Diffusion Capacity3.9
Language Inclusion4.5
Physical Build Speed3.4
Catch-up Headroom2.2
Demographics & Migration1.4
Cyber Resilience4.7
Climate & Environmental Resilience3.1

How this economy meets AI

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

Production baseServices-led
Workforce structureService-intensive workforce
Work organizationMostly formal
Current automationMedium current exposure

Where output comes from (% of GDP)

Agriculture 20252%
Industry 202518.3%
Services 202566.6%

Where people work (% of employment)

Agriculture 20252.8%
Industry 202524.6%
Services 202572.7%

Informal employment

Share of employment 20245.3%

Current automation exposure

Tasks exposed54.3%
Interpretation of these indicators

Several parts of the economy could transmit AI’s effects. The pace depends on adoption by firms, connectivity and movement of workers between sectors.

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 Portugal starts

Portugal enters the AGI era as a high-trust diffuser: rich, skilled and quick to absorb AI, but without a frontier of its own. The scores explain the label. Cyber resilience is 4.7 out of 5, among the world's leaders. Language inclusion is 4.5 and AI diffusion capacity 3.9, so Portuguese firms and offices can put new tools to work fast. Portugal has also positioned Sines as an Atlantic digital gateway, with the EllaLink cable to Brazil and the Start Campus data center project. What is missing is scale. Compute and energy access scores 1.7. Demographics and migration score 1.4, weighed down by an aging, long-emigrating population. Ten-year trend growth is 2.2% a year, and at about $32,000 per person Portugal is a high-income economy. Every scenario turns on power, chips and people.

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. Portugal would gain a small lift: 2.5% growth a year, 94th of 157. Its diffusion strengths would help, but without scale the gains stay small. Under Gradual takeoff, growth would climb for two decades and reach 10% a year once AGI matures around 2045. That would place Portugal 56th in the world. An economy growing at 10% doubles in about seven years. The long runway would give Portugal time to turn its skills and Atlantic connections into hosted services. Under Fast takeoff, growth would reach 16.4% a year from the early 2030s, a doubling every four to five years. Portugal's rank would rise to 43rd, thirteen places above its Gradual position, because a fast world rewards the diffusion and trust it already holds. Regulation and politics could slow or redirect any of these paths. How Portuguese citizens 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. 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 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. Portugal's own signals would arrive earlier than the GDP data: hyperscaler commitments at Sines, financial close and expansion at the Start Campus, new cable landings, and rising AI adoption reported by Portuguese firms.

If growth goes explosive

Explosive is relative. At 10% growth a year under Gradual, Portugal would trail the frontier badly, because the United States would be compounding near 39% under Fast. Portugal's own Fast rate of 16.4% would only match its region's median. But both would run far ahead of its 2.2% history. At 16.4%, the economy doubles every four to five years, so a child starting school now could finish it in a country several times richer. Hosted computing and services could grow alongside the older industrial base. Rising wages at home would ease the pressure to emigrate that has drained Portugal for generations. There is a way this leaves Portugal worse off, and it is worth naming. Hosted compute is an asset only if Portugal owns it rather than rents it, and frontier access rests on alliance inclusion and open-weight models that decisions abroad could cut off. The hedge is to own capacity and spread partners. Even then, the pace-setter would shift to the state, testing whether the grid operator REN, permitting bodies and the courts can connect, approve and adjudicate fast enough.

What Portugal can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. The first is catch-up headroom, low at 2.2. Stronger institutions, open trade and better absorptive capacity in schools, finance and infrastructure raise growth in the skeptic's world too, so this is a no-regret move. The second is demographics and migration, weakest at 1.4. Raising participation among women and older workers, and investing in human capital so people complement AI rather than compete with it, pays off under every scenario. That makes it a second no-regret lever, and skilled-migration visas can draw the talent an aging Portugal lacks. Protecting the diffusion and cyber strengths Portugal already leads costs little and matters throughout. The third lever is the bet. Compute and energy access, at 1.7, barely moves growth if AI stays ordinary, but under Fast takeoff it becomes Portugal's biggest lever, the heaviest-weighted factor of all. Closing it means fast grid connections, permitting reform and power-and-land packages for hyperscalers. Sweden shows the model: cheap renewable power drew Meta's hyperscale data center to Luleå. A cautious government can act on the two no-regret levers today and lose nothing. Open the atlas's policy editor to see how moving these scores reshapes Portugal's growth under each scenario.

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