Meta is seeking federal approval to participate in electricity trading as part of a broader strategy to secure long-term energy supplies for its rapidly expanding data center network. The company argues that trading authority will help it support new power plant development while managing financial risk by reselling excess electricity on wholesale markets.
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Bloomberg reported that Meta wants more flexibility to arrange large power purchases tied directly to new plant construction. The company says developers need long-term commitments before breaking ground on new facilities built to serve cloud and AI workloads.
Meta head of global energy Urvi Parekh explained that developers “want to know that the consumers of power are willing to put skin in the game.”
She added:
“Without Meta taking a more active voice in the need to expand the amount of power that’s on the system, it’s not happening as quickly as we would like.”
Having the ability to buy and resell electricity gives Meta a way to back new generation projects without taking on full exposure to long-term energy price shifts. That flexibility would allow the company to commit to multi-decade supply deals and still adjust to market conditions by selling excess capacity.
Microsoft filed a similar request, while Apple already holds approval to trade power. The growing interest across large tech firms highlights the scale of energy needed to support AI growth, new cloud infrastructure, and next-generation compute clusters.
The data demands tied to AI workloads are pushing utilities and developers toward rapid expansion of energy capacity. Bloomberg noted that powering Meta data center operations in Louisiana alone will require the construction of at least three new gas-fired power plants. That scale of investment underscores why tech companies want more direct involvement in energy markets to secure reliable long-term supply.
Meta expects that taking a more active role in power development will help speed up the construction timeline for new facilities, preventing delays that could slow down future AI infrastructure.