Data centers are scaling at an extraordinary pace to keep up with AI workloads. As power densities and electrical complexity accelerate, the industry has become singularly focused on one question: Where will the next megawatt come from?

Traditional metering and diagnostics fall drastically short in the AI era. They offer coarse, outdated views of highly dynamic, transient loads. As a result, operators are making the most critical decisions about uptime, capacity, and risk using partial data and legacy assumptions.

This whitepaper introduces the concept of the electrical intelligence gap: the growing chasm between how power is actually behaving in AI facilities, and what operators can see through their existing tools. It’s this invisible gap, not just grid limitations, that’s quietly throttling AI infrastructure performance.