Everyone blames the power grid for slowing the AI buildout. The real bottleneck is the gap between capital and the teams capable of deploying it.

The most overlooked phase in data center construction is the one that determines whether the building actually works. Most projects get it wrong.

Most data centers under construction today were designed for cloud workloads that no longer represent the frontier. AI training demands a different building entirely.

The data center industry sells capacity in megawatts. But a megawatt in one facility is not the same as a megawatt in another. Here’s what actually matters.

Most AI data center projects are already behind schedule. The ones that aren’t share a pattern that has nothing to do with capital or chips.

Private equity is an industry defined by the pursuit of outsized returns. The most coveted outcomes...