The AI Cabling Time Bomb
How the race to deploy AI is creating bad cabling decisions data centre operators will spend years untangling
Until recently, most public discussion of generative AI centred on chatbots. Now, AI agents are conducting research and completing multi-step tasks, while scientists are using AI to identify new drug targets and potential treatments for diseases such as Parkinson’s.
Our previous Speed to Market report showed how pressure to deploy AI capacity faster was forcing operators to make design decisions before requirements were fully understood. This latest study of 300 senior data centre decision-makers across the UK, Ireland and the Nordics looks at one of the clearest consequences: cabling being left too late.
What you’ll learn
- The changing demand for AI capacity over the past 12 months.
- The biggest cabling challenges for AI workloads.
- Common compromises made across design, procurement and delivery.
- The consequences of substandard cabling.
- Practical considerations for delivering future-proof infrastructure.
Download the free report below to discover how bringing cabling into the design process earlier can help identify
constraints, reduce rework and ensure infrastructure is ready for more than the first deployment.
