What it means
Behind-the-meter (BTM) power refers to generation and storage placed on the data center's own property, on the customer side of the utility meter, so the electricity never travels across the public grid. It can be fuel cells, gas engines or turbines, batteries, or increasingly on-site nuclear. In the AI supply chain, BTM sits between raw power supply and the compute cluster: when the grid cannot deliver capacity fast enough, on-site generation lets an operator energize racks on its own timeline. That makes BTM a lever against the grid bottleneck, but a costly one, since the operator now owns fuel, maintenance, emissions, and reliability risk that a utility would otherwise carry. It decouples buildout from grid interconnection queues at the price of higher and more volatile cost per kilowatt-hour.
Why it matters to investors
Behind-the-meter is where grid-constrained AI buildouts turn to equipment vendors and on-site generation specialists for speed. Suppliers of fuel cells, engines, and turbines gain exposure when interconnection timelines slip, but operators absorb higher energy and operating costs that flow up into cost per token.
Companies on this part of the chain
Named to show where the term sits in the AI supply chain — research, not advice, and never a recommendation to buy or sell.
Related terms
See Behind-the-meter power in the live AI chain.
THE ENTITY maps every constraint onto one live model — which part is tight now, who owns it, and who gets squeezed when it moves. Plain-English reads you can check.
THE ENTITY is an educational read on the AI supply chain — research, not investment advice. It explains how the chain works and who sits where, never price targets or buy/sell calls.