THE DATA CENTRE INTERVIEW
A persistent misconception is slowing AI adoption across UK organisations: that embracing AI demands a wholesale overhaul of existing IT infrastructure, or a significant upfront capital commitment. According to Tim Loake, Vice President of UK Infrastructure Solutions Group at Dell Technologies, this belief is not merely incorrect – it is actively harmful.
“ I’ ve seen organisations invest heavily in AI infrastructure without really understanding the use cases, let alone the models or modalities required to deliver outcomes against those use cases,” he says.“ The result is expensive infrastructure sitting idle for months while teams work through upfront design and data preparation before anything meaningful reaches production.”
Tim’ s advice is to start small, build a proof of concept on minimum viable infrastructure and grow from there. A single server building block, he argues, may be sufficient to begin. The discipline of running real workloads, rather than debating hypothetical ones, accelerates learning and surfaces problems far earlier.
He is equally firm on architecture choices.“ The only thing worse than building a bespoke‘ snowflake’ system is a big, expensive snowflake,” he says, advocating instead for standardsbased, scalable platforms that avoid lock-in and preserve flexibility.
“ The only thing worse than building a bespoke‘ snowflake’ system is a big, expensive snowflake”
Tim Loake VP of Infrastructure Solutions Group Dell Technologies
For Tim, the central conversation should always return to time-to-value and the cultural changes required to embed new tools:“ If you don’ t get people using the tools quickly, you don’ t realise any of the benefits you built into the business case.”
AI has become a standing agenda item for infrastructure leaders The pace of change in how organisations are treating AI has been striking. Twelve months ago, the technology was frequently framed as something to address in future planning cycles. That framing has shifted decisively.
“ Today, it’ s part of almost every infrastructure and data conversation I have,” Tim says.“ It has moved from a future topic to a standing agenda item.”
Most organisations remain in the experimentation or piloting phase, but the number moving into full production is growing. As that transition happens, capacity planning is emerging as a consistent pain point.
22 June 2026