What it means
The interconnection queue is the formal backlog of generators and large loads, including data centers, waiting for a grid operator to study, approve, and physically connect them to the transmission system. Getting through it can require grid upgrades, new substations, and transformers, and the process often takes years. In the AI supply chain, the queue is one of the hardest constraints: chips, network fabrics, and models are inert without delivered power, and grid timelines dwarf the timelines to buy silicon or erect a building. Because of this, the interconnection queue increasingly dictates where and when AI factories can be built, pushing operators toward sites with existing power, behind-the-meter generation, or storage. It is less a technology than a scheduling and infrastructure bottleneck that sits beneath the entire compute stack.
Why it matters to investors
The interconnection queue is where AI capacity plans meet a multi-year grid reality, so it benefits the transmission builders and grid-equipment suppliers that shorten the line. Operators sitting in the queue face schedule risk that can strand chips and capex until power is delivered.
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 Interconnection queue 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.