Commercial real estate due diligence has always scrutinised the obvious: location, structural condition, lease terms, energy performance. What is moving up the checklist - quietly but with increasing urgency - is network infrastructure. Not as a technical afterthought, but as a determinant of tenant attractiveness, ESG compliance, and long-term asset value.

A hospital network failure is not an inconvenience. It is a clinical event. Patient monitoring systems, infusion pumps, imaging transfer, electronic prescribing, access control, nurse call - the list of IP-connected systems on which patient safety now directly depends has grown to the point where the network is, functionally, clinical infrastructure. Yet the design assumptions underlying most hospital networks were set when the demands on them were a fraction of what they are today.

When organisations report on the environmental impact of their digital infrastructure, the conversation almost always starts in the same place: data centre power consumption, cooling efficiency, renewable energy sourcing.

Most post-mortems on underperforming AI deployments focus on model selection, data quality, or tooling choices. Infrastructure is rarely the headline. It should be.

Everyone's talking about AI agents and model capabilities. But as these workloads move from demos into production, the real bottleneck is becoming clear - it's the physical infrastructure underneath.