GE Vernova — AI supply-chain exposure

GE Vernova is the power and grid business spun out of GE that makes the heavy equipment electricity depends on: turbines that generate it, and the transformers and grid gear that move it. That places it upstream of the entire AI stack, at the energy layer. Data centres cannot train or serve anything without power delivered to the rack, and the equipment to generate and step that power is where the physical bottleneck increasingly sits.

Its structural hook is transformer availability. Large power transformers carry long lead times and have few makers, so as AI-driven demand strains grids, the firms that build this gear gain scarcity-driven leverage over how fast new capacity can come online. Its exposure runs through generation and grid capacity together, meaning it benefits whether the constraint is making more electricity or delivering it, which is why the model places energy hardware, not just chips, near the centre of the story.