TECH TALK we should not assume that outsourcing the foundations of our AI economy carries no longterm cost.
Why energy matters
I also think we underestimate how quickly energy becomes the decisive factor. Over the past 20 years, I have seen power move from being a background utility to being the central constraint in large-scale deployments.
Today, electricity pricing and grid access shape where clusters are built and how competitively they can be offered to customers. When energy is volatile, margins are volatile. When grid queues stretch, timelines slip.
That is why the infrastructure conversation matters so much, regardless of market cycles.
If parts of the AI market cool, efficiency becomes even more important. Businesses will scrutinise cost per workload. They will care about performance per watt.
They will look for environments where power is stable, renewable where possible and priced predictably. Those who have built with that in mind will be stronger, not weaker.
The UK has real strengths. We have significant wind generation, growing solar capacity and engineers who have delivered complex infrastructure projects for decades. But strengths only translate into advantage if we join the dots.
Land, power and compute have to be planned together. Encouraging AI adoption without matching it with domestic capacity creates a widening gap between promise and delivery.
The real skills gap
There is another layer to this that often gets overlooked and that is skills. Specialist data centre engineering talent becomes strategically important when a platform shift hits.
AI infrastructure requires more than general cloud experience. It demands engineers who understand high-density power design, advanced cooling, GPU cluster configuration and how these systems behave under sustained load.
The pool of people who have operated at that level is small and globally contested. If we do not invest in developing and retaining that capability in the UK, we will find ourselves importing expertise at a premium or losing talent to markets that are building more aggressively.
Sovereign infrastructure is not just about where the building sits. It is about who has the knowledge to run it.
Don’ t believe the hype – if we build
After 20 years in data centres, I am less interested in bubbles and more interested in foundations. The headlines will move on. But workloads and demand for any new innovation, especially one as significant as AI has proven to be, will remain.
The question is whether we choose to build the infrastructure here, sustainably and at scale, or continue to rely on others to do it for us. • www. intelligentcio. com
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