I’ve spent almost a decade working within digital infrastructure and data centres and over that time, I’ve watched hyperscale cloud providers transform the technology landscape.

Household names like Microsoft, AWS, Google and Oracle have redefined digital infrastructure, enabling organisations and society-at-large to scale faster and consume technology in entirely new ways. Even when I come home and watch the World Cup, the coverage is now sponsored by Google Gemini. Stop and think about that for a minute – it would have been unthinkable 10 years ago for what is essentially a phone app to underpin a national broadcaster’s coverage.

But, the power and scope of AI is changing the rules, and alongside that the soaring demands of, and uptake in AI, are creating a fundamentally different set of infrastructure requirements. As a result, a new generation of AI cloud providers purpose-built for this new era of accelerated computing are evolving.

Traditional hyperscale cloud platforms were designed to support a broad range of enterprise workloads. AI is completely different. Training frontier models and serving billions of inference requests requires unprecedented GPU density, power, cooling and high-speed networking – a lightyear away from the enterprise compute of the 90’s. Consequently, these AI workloads push conventional cloud environments beyond the scale they were originally designed for.

That is where the emerging generation of AI cloud or ‘neocloud’ providers is reshaping the market.

Neocloud platforms are optimised for AI training and inference, allowing organisations to deploy advanced AI workloads faster, more efficiently and at scale. These requirements are no longer theoretical. They are being deployed today.

Projects such as Radiant demonstrate how quickly expectations have shifted. High-density GPU environments, advanced cooling technologies and accelerated deployment timelines are rapidly becoming the norm. Meanwhile, Nebius’ £1.7 billion commitment to UK AI infrastructure illustrates the scale of investment now flowing into this market.

Notably, both organisations have selected Kao Data’s Harlow campus for significant elements of their deployments. That is no coincidence. It demonstrates that when the UK offers the right infrastructure, global AI companies are willing to invest here.

The pace of change is remarkable. Alongside Nebius, companies such as Nscale and Coreweave are investing billions in AI infrastructure, expanding internationally and becoming critical partners for AI start-ups, established businesses and even hyperscale cloud providers themselves who are sub-contracting their AI infrastructure. In many cases, they are not replacing the hyperscalers but complementing them with specialist AI grunt designed for the next generation of compute.

This is not simply another phase of cloud innovation. It is a structural shift in how digital infrastructure is designed, deployed and consumed.

Crucially, for the UK, it presents a once-in-a-generation opportunity.

We already possess many of the ingredients needed to become a global AI infrastructure leader: world-class universities, exceptional engineering talent, one of Europe’s most mature data centre markets and an increasingly vibrant AI ecosystem. Companies like Kao Data have shown that the UK can build and operate world-class AI infrastructure capable of attracting some of the world’s fastest-growing AI platforms.

The challenge is not demand. It is delivery.

AI infrastructure is ultimately constrained by access to affordable power. Without meaningful energy price reform, faster grid connections and long-term stewardship from central government, the UK risks becoming a country that attracts global interest but struggles to convert it into investment.

Capital is highly mobile. AI infrastructure will be built where cost-effective power is available, planning systems are efficient and governments create the confidence needed for long-term investment. Other countries understand this and are moving quickly to remove barriers. If the UK fails to act with the same urgency, investment will simply flow elsewhere. Our CEO, and other experts like Alexandra Depledge, MBE estimate the UK has about a 24-month window to insert ourselves into the global AI stack, or it’s the final whistle for the United Kingdom.

This is why the conversation around AI sovereignty really matters.

Building world-leading AI models is only part of the equation. Nations also need sovereign compute infrastructure to support them. Without it, the UK risks becoming a taker of AI innovation produced outside of our shores, rather than an AI maker.

The emergence of neoclouds is more than the next chapter of cloud computing; it is laying the foundations of the AI economy. The UK has every opportunity to become one of the world’s leading destinations for AI infrastructure, and businesses across the sector are already proving what is possible.

The question is whether government can match that ambition. Without decisive action on energy price reform, grid capacity and infrastructure planning, the UK risks watching one of its greatest economic opportunities power someone else’s economy instead.

Download our latest whitepaper, Neoclouds and the Battle for UK AI Sovereignty, for more information on the growth of neoclouds.

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