Entergy Louisiana has received approval from the Louisiana Public Service Commission (LPSC) to proceed with a landmark energy infrastructure investment power Meta’s forthcoming AI data center in Richland Parish. The commission’s decision authorizes the utility to build three new combined-cycle gas turbine generation facilities—two in Richland Parish, operational by late 2028, and a third at its Waterford site in St. Charles Parish, expected by the end of 2029. Alongside this, Entergy is granted the green light to expedite the procurement of up to 1,500 MW of solar energy, signaling a hybrid approach that combines conventional and clean power.
Scaling Up to Meet Hyper-Scale Demand
Power Meta plans to invest $10 billion in what will become its largest data center globally, spanning approximately 4 million square feet and designed to support its most sophisticated AI operations. With energy demands estimated at several gigawatts, the data center’s scale rivals that of a small city.
The newly approved gas-fired plants, alongside upgraded transmission infrastructure, will meet the immense power requirement to power Meta, while solar additions reinforce sustainability goals. Entergy emphasizes that Meta is covering the costs for the dedicated infrastructure, aiming to shield existing ratepayers from undue burden.
Balancing Economic Opportunity and Environmental Scrutiny
The project is expected to inject significant economic activity into Northeast Louisiana, generating thousands of construction jobs and hundreds of permanent roles. It also brings long-term infrastructure upgrades and potential tax revenue to a region in need of revitalization.
However, the fast-tracked regulatory process—shifted ahead by two months from an anticipated October vote—sparked criticism from environmental and consumer advocates. Concerns were raised over transparency, ratepayer protections, and the long-term implications of locking in gas infrastructure to power Meta amid evolving energy markets. Critics argue the deal may leave residents exposed to potential cost shifts or stranded assets if AI-related demand fluctuates.
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