An Open Letter to European Heads of State

Europa Nova

A Treaty-Based Framework for Sovereign European Artificial General Intelligence

The question is not whether artificial general intelligence will arrive. The question is whether Europe will have any voice in what it becomes — or whether it will, once again, write the rules for a technology it depends on others to build.
2 of 36
Frontier AI models from Europe.
28 are American. 6 are Chinese.
80%
Of global AI compute controlled
by industry. Up from 40% in 2019.
57,000
EU accelerators (total EuroHPC).
Meta alone planned 1.3 million.
98%
Of Norwegian electricity
from renewable sources.

Europe Has a Structural Absence in the Most Consequential Technology of This Century


Artificial general intelligence is being developed almost exclusively by a handful of private American and Chinese corporations. Europe has one frontier AI laboratory — Mistral, in Paris. Of the 36 AI models that have crossed the 10²⁵ FLOP training threshold since GPT-4, 28 came from US labs, six from China, and two from Europe. The combined AI capital expenditure of Microsoft, Google, Amazon, and Meta exceeded $200 billion in 2024. The EU’s InvestAI programme mobilises €200 billion — of which only €20 billion is public money.

The European Commission has responded with real ambition: nineteen AI Factories, five planned Gigafactories, and an AI Continent Action Plan that promises to triple data centre capacity within seven years. But three independent analyses — by CEPS, Interface, and the Bertelsmann Stiftung — converge on the same diagnosis. The Gigafactories lack anchor customers. They are geographically dispersed for political balance rather than concentrated where energy is cheapest and talent is deepest. And they depend almost entirely on NVIDIA’s proprietary technology stack, potentially deepening the dependencies they were created to reduce.

The EU has built a compute layer. It has not built the research organisation that gives compute a purpose. Building AI Factories without a research institution is like constructing a particle accelerator without a physics department.

Three converging factors create a narrow window of opportunity. The AI architecture is in flux — state-space models and hybrid approaches may be more compute-efficient than Transformers, favouring innovation over brute-force scaling. Energy has become the binding constraint on AI progress, and Northern Europe has abundant, cheap, clean electricity. And the geopolitical landscape — US export controls, China’s acceleration, NATO’s northern expansion — makes sovereign European AI capability a strategic necessity, not a luxury.

Figure 1
The AI Capability Gap: US, China, and Europe Compared
Relative positioning across five dimensions of frontier AI capability. Scores are conceptual (1–10), derived from quantitative and qualitative indicators.
Compute
US
10
China
6
Europe
2
Talent
US
9
China
7
Europe
6
Capital
US
10
China
7
Europe
3
Data
US
9
China
8
Europe
5
Energy
US
7
China
6
Europe
8
United States
China
Europe

The gap is structural, not uniform. Europe leads on energy (8/10) — Northern Scandinavia’s renewable abundance is a genuine strategic advantage. But on compute and capital, the deficit is severe: Europe scores just 2/10 and 3/10 respectively. These are the dimensions where concentrated institutional investment — exactly what Europa Nova proposes — can shift the trajectory.

Sources: IEA, Energy and AI (April 2025); Interface/Bertelsmann Stiftung, Built for Purpose? (October 2025); CEPS, Sanctuaries of Innovation or Cathedrals in the Desert? (November 2025); Macro Polo, Global AI Talent Tracker 2.0; Stanford HAI, AI Index Report 2025. Scores are the authors’ assessment.

Europa Nova: Three Pillars

An independent, treaty-based European research institution dedicated to developing safe artificial general intelligence. Modelled on CERN, but with a commercial licensing arm. Established by treaty among five to eight nations.

Pillar I

Research Foundation

Governed by nine internationally recruited scientists. Led by a Scientific Director with veto authority on all technical decisions and market-rate compensation. One concentrated research hub in a major European city — not distributed across capitals. Full publication freedom for fundamental research. The research agenda is set by scientists, not by political bodies.

Pillar II

Nordic Compute Infrastructure

Located in Northern Scandinavia, running on 100% renewable hydropower at €0.03/kWh. Arctic cooling reduces energy costs by 30–60%. Initial capacity: 500MW, expandable to 2GW. OpenAI chose Narvik for Stargate Norway for exactly these reasons. Multi-vendor hardware strategy from day one — no lock-in to a single provider.

Pillar III

Commercial Licensing Entity

Wholly owned by the Foundation. Licenses models, tools, and compute access to European industry and the public sector. Revenue funds the mission. The mission generates the technology. Protected by international treaty, not corporate bylaws. Projected revenue: €500M by year five, rising to €2–3B annually by years eight to ten.

Figure 2
The Energy–Infrastructure Mismatch
Where Europe’s data centres are vs. where the energy is. The infrastructure is in the wrong place.
Location Elec. Cost DC Share Grid Renewable
Established Hubs (FLAP-D) — 62% of European DC capacity
Frankfurt€0.12/kWh~15%Saturated52%
London€0.10/kWh~14%Constrained43%
Amsterdam€0.09/kWh~13%Moratorium40%
Paris€0.08/kWh~11%Moderate23%
Dublin€0.11/kWh~9%Critical36%
Nordic Emerging — Fastest-growing region, lowest costs
Norway€0.03/kWh~4%Abundant98%
Sweden€0.04/kWh~3%Abundant68%
Finland€0.05/kWh~2%Growing56%
Denmark€0.06/kWh~2%Planned84%

The mismatch is striking. FLAP-D hubs hold 62% of data centre capacity but face the highest energy costs and grid saturation. The Nordics offer electricity at one-third to one-quarter of the cost, with abundant grid capacity and near-total renewable supply. OpenAI, Microsoft, and CoreWeave have already committed over $15 billion to Nordic AI infrastructure.

Sources: IEA, Energy and AI (April 2025); Ember (June 2025); Eurostat; Nordic TSOs; public announcements.
Figure 3
The AI Capability Stack: From Energy to Application
EU initiatives address the infrastructure layers. The research and model development layers remain unoccupied.
5
Industrial Application
Deployment in healthcare, energy, defence, finance, public services
Market forces
4
Model Development
Pre-training, fine-tuning, evaluation, alignment, release
Europa Nova
3
Research & Architecture
Architectural design, data curation, alignment science, talent concentration
Europa Nova
The structural gap
2
Compute Infrastructure
GPU clusters, networking, storage, cloud services
EU initiatives
1
Energy
Renewable power, grid capacity, cooling infrastructure
EU initiatives
Covered by current EU initiatives
Europa Nova (proposed)
Downstream application (market-driven)
Source: Authors’ analysis. See Chapter 3, Section 3.3 of the full policy paper.

Six Principles, Each a Response to a Documented European Failure


Concentration over distribution — because dispersed resources produce dispersed mediocrity. CERN works because it is in Geneva.

Scientific autonomy — because political direction of research produces incremental work. The Scientific Director controls the programme.

Market-rate compensation — because 57% of the world’s top AI researchers already work in the United States. The alternative to paying market rates is not cheaper talent. It is no talent.

A sunset clause at year three — independent evaluation, orderly wind-down if results are insufficient. This is what makes the proposal credible to sceptics.

No juste retour — because Airbus’s decades of workshare distortions demonstrate the cost of proportional return.

Democratic oversight without operational control — modelled on central bank independence. The public has a right to know. It does not direct experiments.


€50 Billion Over Ten Years


Sovereign treaty contributions from five to eight nations provide approximately €3 billion per year. A 1–2% allocation from Norway’s Government Pension Fund Global — structured as infrastructure investment with residual value, not a grant — provides anchor capital. Commercial licensing revenue from year four progressively reduces the need for sovereign contributions. EIB co-financing covers physical infrastructure.

Context: OpenAI’s Stargate is $500 billion. Microsoft alone spent $80 billion on AI infrastructure in fiscal 2025. Europa Nova’s €5 billion per year is roughly four times CERN’s budget. It is the minimum credible stake in a contest where the buy-in rises every quarter.

Germany
€800M
Less than annual Bundeswehr increase
France
€600M
Comparable to France 2030 AI allocation
United Kingdom
€500M
Post-Brexit strategic re-engagement
Norway
€400M
Host-nation premium. ~0.08% of GDP
Sweden
€250M
Nordic cluster co-host
Netherlands
€200M
ASML ecosystem synergy
Switzerland
€150M
CERN model precedent
Finland
€100M
AI leadership ambition (Silo AI heritage)

Total: €3 billion per year · €30 billion over ten years · Each contribution is less than 0.06% of the nation’s annual budget


Phased Implementation


Years 0–1
Treaty & Foundation
Treaty negotiation among founding nations. Board and Scientific Director appointment. Site selection for research hub. Begin compute facility construction in Northern Scandinavia.
Years 1–3
Research Launch
First 200–500 researchers hired. Initial compute capacity online (500MW). First architectural research outputs. Year-three independent evaluation gate.
Years 3–5
Scale & Commercialise
Commercial Licensing Entity begins operations. First model releases. Revenue generation starts. Compute expansion to 1GW+. Projected revenue: €500M by year five.
Years 5–10
Frontier Capability
Full-scale operations. Revenue of €2–3B annually. Sovereign contributions progressively reduced. Europa Nova as anchor institution for European AI capability.

The Hardest Questions, Addressed Directly

€50 billion is too expensive.
It is a large number. It is also less than what Microsoft alone spent on AI infrastructure in a single fiscal year ($80 billion in FY2025). OpenAI’s Stargate initiative represents $500 billion. The EU’s own InvestAI commits €200 billion. Europa Nova’s €5 billion per year, shared across eight nations, is roughly four times CERN and two-thirds of ESA. The question is not whether €50 billion is a lot of money. It is. The question is whether it is proportionate to the stakes of being permanently dependent on foreign AI systems for every sector of the European economy.
Europe has tried large-scale technology projects before and failed.
Europe has also tried them and succeeded. CERN has produced twelve Nobel Prizes and the World Wide Web. ESA operates the Galileo navigation system and the Copernicus earth observation programme. The difference between success and failure is governance design, not ambition. Europa Nova’s governance is explicitly engineered to avoid the documented failure modes: Galileo’s governance ambiguity, Airbus’s workshare distortions, EuroHPC’s geographical dispersion. The year-three evaluation gate ensures the project either delivers or is shut down — no zombie projects.
Why not just improve the EU’s existing AI Factory and Gigafactory initiatives?
Europa Nova does not replace those initiatives — it complements them. The AI Factories provide compute infrastructure. But compute without a research organisation to direct it is an expensive commodity. Three independent analyses (CEPS, Interface, Bertelsmann Stiftung) all conclude that the current approach addresses infrastructure but not the research organisation, architectural ambition, or talent concentration needed for frontier AI. Europa Nova is the missing layer — and it would be the anchor customer that the Gigafactories currently lack.
Who would lead this? Where do you find a Scientific Director of the required calibre?
The same global talent pool that staffs Google DeepMind, Anthropic, and OpenAI. Europa Nova offers something industry cannot: genuine research freedom unconstrained by quarterly product cycles, full publication rights for fundamental research, and the opportunity to shape a foundational institution. Compensation at €1–2 million matches industry base salaries. The search must be international, conducted by a committee of recognised AI researchers, not by national nomination.
Why a treaty and not an EU regulation?
Because consensus among twenty-seven member states produces compromise, and compromise produces mediocrity. A treaty among five to eight willing and capable nations can make harder choices and sustain them across political cycles. CERN was founded by twelve states. ESO by five. Both achieved world leadership precisely because they were not subject to the full EU legislative machinery. A treaty also naturally includes the United Kingdom — home to DeepMind and the AI Safety Institute — which any EU-only framework would exclude.
Why Northern Scandinavia for the compute infrastructure?
Physics and economics. Norway generates 98% of its electricity from renewables. Long-term Nordic power contracts secure rates at €0.03/kWh — a fraction of Frankfurt or Dublin prices. Arctic temperatures reduce cooling costs by 30–60%. Grid reliability in Finland reached 99.99995% in 2025. The market has already validated this: OpenAI, Microsoft, and CoreWeave collectively committed over $15 billion to Nordic AI infrastructure in 2025. The researchers do not live at the compute facility — they work at the research hub in a major European city, connected by dedicated fibre.
What if the project fails?
The treaty includes provisions for orderly wind-down after the year-three evaluation. If Europa Nova is terminated at year three, total expenditure is approximately €12–15 billion. The compute infrastructure — data centres, power connections, cooling systems — retains value as European data centre capacity and can be sold or repurposed. The worst case is not €15 billion lost. It is €15 billion partially recoverable through asset disposal. The alternative — permanent dependence on foreign AI systems — has no asset recovery at all.
Is this really about AGI, or is that an overstatement?
It is about the trajectory. Whether artificial general intelligence arrives in five years or twenty, the institutions, the infrastructure, and the talent required to develop it are being assembled now. The organisations that build the precursor systems will build the successors. Europa Nova’s mandate is deliberately broad: not generative AI specifically, but general intelligence through whatever architecture proves most effective.


Signatories


This letter is open for endorsement by researchers, policymakers, industry leaders, and citizens who share the conviction that Europe must be a co-author of humanity’s most powerful technology. First signatories will be announced in the coming months. To express your support, use the form below.

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