AI data-center growth is ultimately an electrical-infrastructure build. New compute capacity needs generation, utility interconnection, substations, large power transformers, switchgear, busway, backup power, cooling, and skilled contractors. Project timing is frequently determined by the slowest of these layers rather than by server availability.
Constraint Alpha separates equipment suppliers from power developers and integrators. Transformer factories and qualified high-voltage equipment may have multi-year lead times; turbines and onsite generation can relieve one constraint while creating fuel, permitting, emissions, or service dependencies; liquid cooling and power distribution determine how much compute fits inside a site.
The directory uses backlog, capacity expansion, utility approvals, customer commitments, and official product evidence as validation signals. It does not infer an AI revenue percentage from generic data-center language. Each record states whether the evidence is verified, sourced, or still a hypothesis and identifies the risk that could normalize the bottleneck.