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Meta Is Building 10 Gas Plants to Power Its AI Campus — Enough Electricity for 5 Million Homes
By Connie · April 1, 2026 · 7 min read
Meta is funding 10 natural gas plants through Louisiana utility Entergy to power its Hyperion AI campus in Richland Parish, Louisiana. Combined capacity: 7.5 GW — enough to supply more than 5 million homes, and more electricity than the entire state of South Dakota uses. This is the clearest sign yet that AI data centers have crossed into state-scale energy consumers. TechCrunch published the story April 1, 2026.
What Meta Is Building: The Hyperion AI Campus
Meta's Hyperion data center campus is under construction in Richland Parish, northeastern Louisiana — a rural area where a quarter of residents live below the poverty line. When complete, Hyperion will be one of the largest AI computing facilities in the world, with approximately 5 gigawatts of computing capacity.
To power it, Meta has signed an agreement with Entergy Louisiana — the state's largest utility — to fund the construction of 10 dedicated natural gas power plants. Seven plants (providing 5.2 GW) were announced in late March 2026, added to three previously approved facilities (2.3 GW). The combined 7.5 GW of dedicated gas generation is more power than the entire state of South Dakota consumes.
Meta says it will pay the full cost of the new generation infrastructure — Entergy confirmed the deal is "structured to ensure Meta pays its full cost of service," and that the agreement will deliver more than $2 billion in customer savings over 20 years due to shared infrastructure benefits.
Why Natural Gas? The AI Power Problem Explained
AI data centers have an unusual power profile. Unlike a shopping mall or factory, they run at near-100% utilization 24 hours a day, 365 days a year. Every GPU cluster in a large language model training run consumes electricity continuously, regardless of time of day or season.
Solar and wind power, while cheaper per kilowatt-hour in ideal conditions, are intermittent — they generate when the sun shines or wind blows, not necessarily when the data center needs power. Battery storage at the scale needed to back up a 5 GW facility does not yet exist commercially.
Natural gas fills the gap. Gas turbines can spin up in minutes and deliver reliable, dispatchable power around the clock. OpenAI CEO Sam Altman has been direct about the calculus: "Short-term: natural gas." The industry's position is that gas bridges the gap until nuclear or next-generation renewables can scale to meet AI's demands.
Gas is not Meta's only power strategy. In January 2026, the company signed a separate 6.6 GW nuclear power deal to supply its Prometheus AI supercluster — a different facility from Hyperion. Meta's position is that gas is a bridge to nuclear, not a permanent solution. But Hyperion is being built now, and nuclear power at that scale is 8-12 years away.
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Try Happycapy FreeThe Hyperscaler Energy Race: Who Is Building What
Meta is not alone. Every major AI company has announced massive power infrastructure investments in 2025-2026. The scale of commitments is unprecedented in the history of the technology industry.
S&P Global analysts warned in March 2026 that the collective $635 billion in planned AI infrastructure spending by Microsoft, Amazon, Google, and Meta faces a test from rising energy costs and geopolitical tensions. The energy cost component alone — building, operating, and fueling dedicated power plants — is a key variable that will determine how affordable AI inference remains long-term.
Community Impact: Richland Parish, Louisiana
The Hyperion project landed in Richland Parish, a rural Louisiana county where 25% of residents live below the poverty line. For the local community, the economics are complicated.
On the positive side: Hyperion promises thousands of construction jobs spanning 2026-2031, and Meta's infrastructure investment will bring tax revenue to a parish with limited industrial base. Entergy estimates $2 billion in long-term customer savings from shared infrastructure.
On the negative side: The project will increase housing demand and rental prices in a low-income area, the natural gas plants add air quality burdens, and the water cooling system is projected to consume 1.5 million gallons of water per day from local sources.
This pattern — hyperscaler data centers locating in rural, low-income areas with cheap land, available power infrastructure, and limited political resistance — is repeating across the US AI buildout. The communities bear environmental costs; the economic benefits flow primarily to shareholders and AI users globally.
What This Means for AI Costs and Sustainability Claims
Meta, Google, Microsoft, and Amazon have all made public commitments to carbon neutrality or net-zero emissions. The Hyperion gas plants put those commitments in sharp relief. Meta's defense is that carbon offsets and future nuclear investments balance the ledger — but critics argue that "building gas plants to power AI today while promising nuclear tomorrow" is a form of carbon accounting that doesn't hold up to scrutiny.
For AI model pricing, energy is a first-order input. GPT inference, Claude inference, and Gemini queries all consume electricity at every step. As data center energy costs rise — driven by gas prices, grid interconnection fees, and water scarcity — they flow into the cost structure of AI APIs. The long-term deflationary trend in AI inference costs depends heavily on whether energy costs fall or rise from here.
The "shadow grid" model
Tom's Hardware noted a trend that Hyperion exemplifies: AI data center developers are increasingly bypassing public power grids entirely, building private "shadow grids" with dedicated generation. When a data center's power demand exceeds what a regional grid can reliably deliver, building your own power plant is faster and more reliable than waiting for grid upgrades. Hyperion is the largest example yet of this model.
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Start Free with HappycapyFrequently Asked Questions
Hyperion is Meta's largest AI data center campus, under construction in Richland Parish, northeastern Louisiana. When complete, it will deliver approximately 5 gigawatts of computing capacity — enough to power more than 5 million homes. Meta is funding the construction of 10 dedicated natural gas plants through Louisiana utility Entergy to supply the power.
Hyperion will consume electricity at a rate that rivals the total power consumption of an entire U.S. state — TechCrunch compared it to South Dakota's statewide usage. The 10 natural gas plants will generate a combined 7.5 GW of capacity.
Natural gas provides on-demand, dispatchable power that AI data centers need 24/7, regardless of weather. Solar and wind are intermittent. While Meta has also signed a 6.6 GW nuclear deal for its Prometheus supercluster, natural gas is the fastest way to bring the scale of power AI data centers demand online today.
AI compute costs are dominated by energy. As data centers grow to state-scale power consumption, energy prices become a direct input to AI model pricing. Long-term, analysts expect AI inference costs to fall as energy infrastructure scales — but near-term costs of gas plants, grid upgrades, and cooling infrastructure are significant.
- Tim De Chant, TechCrunch — "Meta's natural gas binge could power South Dakota" (April 1, 2026)
- Bloomberg — "Meta Funds Seven Entergy Gas Plants to Power Biggest Data Center" (March 27, 2026)
- Forbes — "Meta Funds Ten Natural Gas Plants To Power Its Largest AI Campus" (March 31, 2026)
- Fortune — "Meta orders 10 gas-fired power plants for its Hyperion AI campus" (March 27, 2026)
- S&P Global — AI infrastructure spending risk analysis (March 2026)
- Happycapy AI — AI workspace for knowledge workers
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