AI demand is now large enough that energy infrastructure is becoming part of the model-company story. OpenAI’s warrant exposure around SB Energy shows how the industry’s compute plans are reaching into power, storage, and data-center capacity before those facilities are fully operational.
This is what happens when inference and training become physical industries. Model roadmaps depend on electricity, permits, cooling, financing, and long-term capacity commitments. The companies that can bundle those pieces may become essential to AI growth even if they never train a frontier model themselves.
The risk is that markets start pricing future AI demand before the infrastructure has proven itself. If the demand arrives, these deals look strategic. If it slows, the sector will have to explain a lot of expensive capacity built around optimistic assumptions.
Was this useful?
Help Pagish understand which AI stories are worth covering more deeply.
Tell Pagish if this story was useful.