SoftBank to Build 5 GW of AI Data Centres in France

2026-06-05 · Source: AI Magazine · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Intermediate, short

Summary

SoftBank Group has committed up to €75bn (US$87bn) to develop and operate 5 GW of AI data center capacity across France, marking its largest AI infrastructure investment in Europe. An initial €45bn (US$52bn) phase will deliver 3.1 GW in the Hauts-de-France region, with first sites planned for Dunkirk, Bosquel, and Bouchain, targeting delivery by 2031. Announced at the 2026 Choose France summit, this program aims to scale high-performance computing for AI developers, cloud providers, and research organizations. The initiative includes strategic partnerships with Électricité de France (EDF) for power infrastructure at Bouchain and Schneider Electric for local manufacturing and integration capabilities at the Port of Dunkirk, strengthening supply chains and creating thousands of jobs.

Key takeaway

For Directors of AI/ML or VPs of Engineering considering European AI infrastructure, SoftBank's €75bn investment in France signals a major shift in regional capacity. You should evaluate France's growing digital sovereignty and robust power infrastructure, especially in Hauts-de-France, as a prime location for future AI compute needs. This commitment highlights the importance of strategic government and utility partnerships for large-scale deployments.

Key insights

Large-scale AI infrastructure development requires significant investment, strategic partnerships, and government backing.

Principles

• National ambition drives AI infrastructure hubs.
• Power availability is central to hyperscale facilities.
• Local manufacturing strengthens supply chains.

In practice

• Partner with local energy providers for power.
• Establish local manufacturing for supply chain resilience.
• Collaborate with academia for skills development.

Topics

• AI Data Centers
• SoftBank Group
• France
• High-Performance Computing
• Digital Sovereignty
• Schneider Electric
• EDF

Best for: Investor, Director of AI/ML, VP of Engineering/Data, Policy Maker

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Magazine.