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#Ai #Energy #Infrastructure 🧶 yarn pull…
This clearly points to a critical issue in AI industry: the transition from a software/chip bottleneck (GPUs) to a physical infrastructure bottleneck (power and grid equipment).
Transformers are essential for stepping down high-voltage electricity from the grid to the lower voltages required by data center server racks. The surge in lead times from 40 weeks to over 3 years is driven by an over 100% increase in transformer demand since 2019, coupled with shortages of skilled labor and raw materials.
As of January 2026, the United States faces a 30% shortfall in power transformers, forcing "certain hyperscalers" to seek behind-the-meter solutions (power generation that happens on the same site as the data center, bypassing the multi-year wait for a utility grid connection).
The following are tickers that align with our thesis in Sustainable Infrastructure and Future Tech; we that they will continue to benefit from this infrastructure bottleneck.
GIF
Oguz Erkan@oguzerkan
Elon Musk says voltage transformer shortage is the main bottleneck for scaling AI now. Transformer lead times have stretched from 40 weeks pre-pandemic to 2.5-3 years now, so grid connection wait times have also jumped to years. For planned data centers, on-site generation and behind-the-meter arrangements are the only options to come online under two years. Independent power producers and electrification enablers will be the obvious winners from this trend. $VST $TLN $NRG $SEI $ET $GEV
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