Technology and Science14 August, 20263 min read
Hyperscalers Including Amazon, Google, Meta, and Microsoft Face Natural Gas Price Tripling Risk
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Hyperscalers like Amazon, Google, Meta, and Microsoft deploy gas-fired AI data centers. Noreva forecasts U.S. natural gas prices could triple in coming years.
Gas bets face price shock
Hyperscalers including Amazon, Google, Meta, and Microsoft are turning to natural gas to power AI data centers, but Noreva’s forecast warns natural gas prices could triple in some U.S. regions over the coming years. Noreva CEO Peter Gardett told TechCrunch, "I think everyone in the energy markets has been lulled into a sense that gas prices can’t go up," as the report points to soaring demand from hyperscale data centers, slowing growth in domestic supply, and rising LNG exports. The forecast says natural gas prices could exceed $10 per million BTUs at certain delivery points for extended periods, while prices range from about $2 to $4.50 per million BTUs and Henry Hub in Louisiana trades just under $3.
Noreva’s analysis also links the fuel cost to electricity economics, noting that fuel represents about half the cost of electricity from a large power plant, so a doubling or tripling of gas prices could substantially raise operating costs for "bring your own power" AI data centers. In March, Meta announced a 7.5-gigawatt natural gas power plant in Louisiana for its Hyperion data center, while Microsoft and Google each revealed plans for gigawatt-scale gas plants in Texas and Amazon is building a 7.6-gigawatt gas plant in Texas.
Investors, consumers, and backlash
Gardett said at least one investor he spoke with was "surprised" by the amount of natural gas price risk hyperscalers are willing to take on, adding that "They’re doing things that are not normal for an off-taker to do." TechCrunch reports that if natural gas prices triple, operating costs for "bring your own power" AI data centers could rise, driving up token costs or pushing hyperscalers to connect to the grid and drive electricity prices higher. The Tech Buzz similarly frames the risk as a potential financial albatross for Amazon, Microsoft, Google, and Meta, warning that natural gas prices could triple in key U.S. markets where these companies are building massive AI data centers.
TechCrunch also ties the forecast to a broader energy backlash, saying "Already, 80% of consumers are worried about data centers’ impact on their utility bills," mostly related to electricity, with the angst potentially spilling over to natural gas bills. Gardett argues the market’s stability is not assured, saying, "It’s not an unreasonable bet," but he is "not convinced they’re right," as he expects the domestic gas market to be increasingly connected to the global gas market and pulled by AI demand.
Where the next data centers go
TechCrunch says hyperscalers have been lured to Texas and Louisiana by cheap natural gas prices, especially in West Texas where gas has been a byproduct of oil drilling and sold at a discount due to limited pipeline capacity. Gardett told TechCrunch, "They’ve finally built some pipelines out there, and a lot of that is headed towards export markets," and he said as West Texas becomes more integrated with national and international markets, demand there will influence prices elsewhere and vice versa. The forecast describes how regional price differentials could widen, with Gardett warning, "You will get places where you get a lot of gas next to someplace where there’s none, and so you’ll get those big differentials," which the report says could drive prices above $10 per million BTUs for extended periods.
The Tech Buzz adds that the price shock could reshape the economics of the artificial intelligence boom, as hyperscalers bet on gas-powered facilities while working on longer-term renewable solutions. For the next phase of AI infrastructure, TechCrunch says the backlash could intensify if natural gas consumption adds a new dimension to data center opposition, and it points to future Alphabet earnings calls where Gardett expects discussion of the correlation between natural gas pricing and Google results.