Sovereign AI and European Strategic Infrastructure

Executive summary

The paper examines the architecture, financing and political economy of Europe's AI Factories and planned AI Gigafactories. It analyzes the InvestAI framework, commercial infrastructure already emerging across Europe and Romania's Black Sea AI Gigafactory proposal as a case study in energy, financing, permitting and offtake risk.

Europe's sovereign-AI ambition depends on a complete infrastructure stack in which energy, compute, orchestration, capital and institutional control must be evaluated together.

Methodology and scope

Desk-research synthesis of European Commission and EuroHPC documents, Romanian government communications, infrastructure-market analysis, policy research and contemporaneous reporting published between January 2024 and July 2026.

Operating framework

Compute → Energy → Orchestration → Regulation → Institutional Control

Key findings

The paper identifies four principal findings:

• Commercial actors are developing gigafactory-scale facilities before the European Union's formal selection process is complete.
• Energy and grid capacity are emerging as binding constraints on the location and economics of European AI infrastructure.
• Sovereignty cannot be assessed at the model layer alone; hardware, energy, deployment, financing and continued institutional control remain material dependencies.
• National projects compete for limited co-financing while retaining substantial permitting, infrastructure, capital and demand risk.

Institutional application

Institutional decision-makers can use the paper to evaluate sovereign-AI proposals across the complete dependency stack instead of treating compute capacity as a sufficient measure of sovereignty.

Limitations

The study is a desk-research synthesis, not an econometric or engineering assessment. Its geographic scope is the European Union and Romania, and programme details remain subject to policy and procurement change.

Publication record

Author: BLACK& Research, a division of BLACK HOLDINGS SRL. Prepared by: SYSTEM INC AI Labs. Published: 15 July 2026. Version: 1.0 — Initial publication. Classification: Public — for distribution to institutional and government stakeholders.