By Jeremy Foster,
Publication Date: 2026-03-30 17:00:00
For years, business infrastructure decisions followed a familiar pattern: plan big, buy once, implement, and run for years. That model worked when environments were relatively static and technological change was predictable.
That is no longer the world in which our clients operate.
Today, modernization is incremental. Virtualization strategies are changing. AI is introducing uncertainty around timing, scale, and where workloads will ultimately reside. Across industries, IT leaders are being asked to act faster, without locking themselves into infrastructure decisions that may need to be revisited much sooner than expected.
The stakes are increasing. According to McKinsey & Company, global demand for AI data center capacity could require $5.2 trillion in capital investments by 2030. AI has clearly moved beyond experimentation and has become an operational reality. But in my conversations with business leaders, what’s less clear is the path to scale. Decisions made today can determine the extent to which…
