AI infrastructure growth is facing physical bottlenecks beyond semiconductors. GPUs and high-bandwidth memory are already scarce, while utilities report grid demand rising faster than transmission upgrades. Power availability can take 18 to 24 months for utilities to assess before construction begins. Even after site selection, connecting new data centers to the grid can delay compute availability. Global electricity demand from data centers could more than double by 2030, with AI facilities as a major contributor. The result is a slowdown risk for AI expansion when power connection becomes the limiting factor.
"“If you wanted to start today and build a gigawatt AI factory, you are looking 2030 before you get the first compute online.”"
"“Before operators even begin construction, utilities may take 18 to 24 months simply to determine whether a site has available power capacity . That is the starting point - not the finish line.”"
"“AI infrastructure requires enormous amounts of electricity, cooling, networking equipment, fiber connectivity, and land positioned near major transmission lines. That combination is becoming harder to secure by the quarter.”"
"“According to the International Energy Agency, global electricity demand from data centers could more than double by 2030. AI facilities are the largest contributor.”"
#ai-infrastructure #data-centers #electric-grid-capacity #power-connection-delays #semiconductor-supply-constraints
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