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

France

Europe · High-trust diffusers
$48,986
GDP per capita · 2025 · World Bank
AGI Growth Index
68.7
Post-AGI rate · from 2040 · Gradual
10.7%
vs trend +9.5pp · doubles every 6.8y
Growth in 2035 · Gradual
4%
vs trend +2.8pp
Trend, no AI
1.2%
mean 2016–2025
GDP in 2045 vs no-AI path
×2.3
levels, not rates · think in levels first (Moll & Imas 2026)
Average growth 2025–2045
5.5%
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
France
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 Access3.4
Geopolitical Positioning4.0
AI Diffusion Capacity4.4
Language Inclusion3.9
Physical Build Speed3.9
Catch-up Headroom1.7
Demographics & Migration1.7
Cyber Resilience4.8
Climate & Environmental Resilience3.7

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 automationHigh current exposure

Where output comes from (% of GDP)

Agriculture 20251.4%
Industry 202516.8%
Services 202570.9%

Where people work (% of employment)

Agriculture 20252.3%
Industry 202519.3%
Services 202578.3%

Informal employment

Share of employment 20243.8%

Current automation exposure

Tasks exposed56.7%
Interpretation of these indicators

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.

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 France starts

France enters the AGI era as a high-trust diffuser: rich, skilled and quick to put AI to work. The scores show why. AI diffusion capacity is 4.4 and cyber resilience 4.8, near the top of the 157 countries. A dense engineering base, strong institutions and a geopolitical score of 4 place France inside the American alliance and its frontier access. Its distinguishing edge is power: a compute and energy score of 3.4, above the archetype median, rests on the world's largest nuclear fleet per person and cheap, low-carbon electricity. Paris hosts Mistral AI, Europe's most credible lab. What holds France back is demography and headroom: both score 1.7. An aging workforce and a $48,986 income leave little room to grow by copying others. Ten-year trend growth is just 1.2% a year.

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. France would see 1.6% growth a year, just above trend, and rank 126th of 157. Rich, aging economies with little catch-up room sit low in that world, because ordinary AI rewards countries still climbing toward the frontier. Under Gradual takeoff, growth would build for two decades and reach 13.9% a year once AGI matures around 2045, placing France 20th. An economy growing at 13.9% doubles in about five years. The long ramp lets France turn its diffusion strength, skills and nuclear power into applied AI across industry and services. Under Fast takeoff, growth would reach 26.4% a year from the early 2030s, a doubling every three years, lifting France to 11th. The speed rewards the countries that already absorb AI fastest, and France is one. Regulation and politics could slow or redirect any of these paths. How the French public and their institutions respond to transformative AI is a variable the model holds constant.

How you would know which world you are in

The scenarios look almost alike until about 2030. Watch leading indicators, not GDP, and check them live rather than trust any snapshot. 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. France's own tells would arrive earlier than GDP: new investment rounds and revenue at Mistral, hyperscaler commitments to nuclear-powered data centers, grid connection queues clearing, and enterprise AI adoption reported by INSEE and Eurostat.

If growth goes explosive

Explosive is relative. At 13.9% growth a year, France would run ahead of its region, where the median is 10.4%, but behind a frontier compounding at 19.5%. Under Fast the pattern holds: 26.4% beats the region's 16.4% but trails the frontier's 39.2%. Even so, this would transform France. At the Fast rate the economy doubles about every three years, so a child starting school could finish it several times richer. Growth would tilt the mix toward AI-intensive services. France is an aging, immigration country, so higher labor demand and wages would draw in skilled workers and ease pension strain, not reverse any exodus. Here is the honest downside. France owns little of the frontier it would run on. Its chips and best models come through the American alliance, so a change in export rules or open-weight access, decided elsewhere, could throttle the build. The hedge is to deepen European and sovereign capability while keeping that access. Even then, the pace-setter shifts to the state: whether préfectures can permit data centers, whether the grid can connect them, and whether the courts and the CNIL can adjudicate at the new speed.

What France can do now

Three levers follow from the scores, and two pay off whether or not AGI arrives. Start with the no-regret moves. The first is demography and human capital, low at 1.7. France can raise participation among older workers and women, and invest in skills so people complement AI rather than compete with it. That lifts a shrinking workforce in any world. The second is catch-up headroom, also 1.7 and structurally low for a rich country. Here the move is to keep France open to trade, foreign investment and technology transfer, so frontier tools keep flowing in. Both pay off even if the skeptics are right, so a cautious government can act today at no loss. The third lever is the bet: compute and energy access, at 3.4 already a French strength thanks to nuclear power. It barely moves growth if AI stays ordinary, but under Fast takeoff it becomes France's biggest lever. The task is to fast-track grid connections, streamline permits and offer power-and-land packages to anchor hyperscale data centers. Britain is pursuing just this with its AI Growth Zones, sites with fast-tracked power and planning. To see how moving these scores reshapes France's path under each scenario, open the atlas's policy editor.

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