dominant response to the AI energy problem, udged by where capex is flowing is the treat energy primarily as a procurement problem. sign longer PPAs, restart nuclear, buy your own gas turbines. microsoft and three mile island, amazon and talen, meta and clinton, and the surge of new gas turbine orders backing up data center campuses across texas / mountain west are each rational responses to real constraints such as scarce firm capacity, long lead times, and strategic need to lock in resources before competitors do. but they share an implicit assumption, that ai workloads are continuous, massive and inflexible, and therefore demand continuous, massive inflexible supply.
so orchestrating energy end to end, from how it is procured, and stored through how it is allocated to workloads in real time will be one of the most strategi layers of the inference era. holds regardless of the generation mix...renewable, storage, nuclear, gas, etc all face the same underlying struggle. a demand side that varies through the day, and a supply side whose value depends on the moment.
