Four Bold Steps: How the UK Can Secure Its Spot on the AI Supercomputing World Stage

Fluidstack 's plans to build a 1GW AI supercomputer in France marks a major shift in the European tech landscape highlight how quickly the European tech landscape is evolving. This development underscores the immense potential of AI-driven supercomputing to shape future innovations, from advanced research to cutting-edge product development. As the scale of this project suggests, competition for leadership in AI hardware and infrastructure is intensifying—not just globally among global superpowers, but within Europe itself.

The UK stands on equal footing to join France on the world stage by accelerating its own AI supercomputing capabilities. To build on this momentum in Europe, the UK can take four crucial steps: first, increase investment in high-performance computing (HPC) infrastructure to support both academic and commercial research; second, adopt supportive policies and funding frameworks that incentivise homegrown AI initiatives (a huge part of this has been kick started by the AI Opportunities Action Plan, put into motion by Matt Clifford ); third, cultivate industry-academic partnerships to bridge the gap between theoretical expertise and applied solutions; and finally, nurture a robust talent pipeline by expanding AI-focused education and training. With a clear vision and coordinated strategy, the UK can ensure its place at the forefront of this transformative technology race.

When I asked César Maklary , co-founder of Fluistack on the tail end of the news above, on his vision for what he'd recommend for the UK, he added:

1) ?Encourage local companies to build sovereign infrastructure.”

This principle emphasises the importance of maintaining strategic control over critical technology capabilities. By ensuring the majority of investments, contracts, and operations remain in UK hands, the country can safeguard its data, protect intellectual property, and reduce potential dependencies on external stakeholders. Local companies will benefit directly from this approach, driving domestic innovation, creating jobs, and cultivating a resilient tech ecosystem.

2) “Lower energy prices to get close to $0.06-0.08/kWh to create/attract new initiatives.”

Affordable and predictable electricity is key to attracting high-performance computing projects, such as AI supercomputing facilities. By reducing cost barriers (or building more energy local assets, many which are already in the planning phase), energy prices can be brought closer to the target range, making the UK more competitive in the global market. Achieving this level of affordability will not only help large-scale data centres but also benefit smaller firms working on energy-intensive research and development.

3) “Ease regulatory approval and administrative processes for data-center construction."

Simplifying and expediting bureaucratic processes is essential for rapid deployment of data centres. Excessive red tape can stall projects, increase costs, and deter potential investors. By streamlining regulations, offering clear guidelines, and reducing unnecessary paperwork, the UK can fast-track next-generation infrastructure development and attract businesses eager to establish or expand their AI and cloud computing operations.

4) “Have a clear strategy for the UK’s sovereign cloud asap, especially scale, so we can start planning infrastructure and reduce lead times (be proactive vs reactive).”

Clear, forward-looking guidance on sovereign cloud objectives is vital for long-term planning. When policymakers share detailed insights into the expected scale and scope of national cloud initiatives, private and public entities alike can align their strategies, secure funding, and coordinate resources effectively. Proactive communication allows for earlier contracting, smoother project development, and reduced delays, ensuring the UK remains agile and ready to compete on the global stage.

Notes: Fluidstack is a Seedcamp portfolio company. cc Reshma Sohoni Sia Houchangnia Tom Wilson