Hyperscalers’ natural gas bet may backfire as prices could triple, research firm warns

Hyperscalers like Amazon, Google, Meta, and Microsoft are increasingly turning to natural gas to power their AI data centers, but a new forecast from energy research firm Noreva suggests this strategy could lead to significant price shocks, with natural gas prices potentially tripling in some U.S. regions over the coming years.

Why natural gas prices could surge

Noreva’s analysis points to a collision of factors: soaring demand from hyperscale data centers, slowing growth in domestic natural gas supply, and rising exports of liquefied natural gas (LNG). Peter Gardett, CEO of Noreva, told Bitcoin World that many in the energy markets have become complacent about gas prices. “You just need simple arithmetic to get to a much tighter gas market than you were in just a few years ago,” he said.

Currently, natural gas prices range from about $2 to $4.50 per million BTUs, with Henry Hub in Louisiana trading just under $3. Noreva expects prices to exceed $10 per million BTUs at certain delivery points for extended periods. Since fuel represents roughly half the cost of electricity from a large power plant, a doubling or tripling of gas prices could substantially raise operating costs for “bring your own power” AI data centers.

Hyperscalers’ big bets on gas

In March alone, Meta announced a 7.5-gigawatt natural gas power plant in Louisiana to support its Hyperion data center, while Microsoft and Google each revealed plans for gigawatt-scale gas plants in Texas. Amazon is also building a 7.6-gigawatt gas plant in Texas. These moves mark a significant shift for companies that have historically avoided large capital expenditures and are now venturing into unfamiliar energy markets.

Gardett noted that at least one investor was “surprised” by the level of natural gas price risk hyperscalers are willing to accept. “They’re doing things that are not normal for an off-taker to do,” he said. The reliance on gas is partly driven by cheap prices in regions like West Texas, where natural gas is a byproduct of oil drilling and has been sold at a discount due to limited pipeline capacity.

Connecting domestic and global markets

However, new pipelines are now connecting West Texas to national and international markets, with much of that gas headed to LNG export terminals. This integration means local price differentials could widen, creating pockets of high prices near data centers. “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,” Gardett explained.

The forecast suggests that even if hyperscalers can absorb higher energy costs, the broader impact on consumer utility bills could intensify the existing backlash against data centers. A recent survey indicates 80% of consumers are already concerned about data centers’ impact on their electricity bills, and natural gas price spikes could extend that anxiety to heating and other gas-dependent services.

Implications for AI costs and the grid

Higher natural gas prices could directly affect the cost of running AI data centers, potentially leading to increased token costs for AI services or pushing hyperscalers to connect to the grid, which would drive up electricity prices for everyone. Gardett predicts that future Alphabet earnings calls may feature discussions about the correlation between natural gas pricing and Google results, highlighting how deeply energy markets are becoming intertwined with tech operations.

For now, futures markets do not anticipate significant price changes, but Noreva’s analysis suggests that the combination of AI-driven demand and LNG exports could fundamentally alter the domestic gas market. “It’s not an unreasonable bet,” Gardett said of current expectations, “but I’m not convinced they’re right.”

Conclusion

As hyperscalers accelerate their natural gas investments to fuel AI expansion, they are exposing themselves to potential price volatility that could reshape their operating costs and the broader energy landscape. With Noreva’s forecast pointing to possible price triples in certain regions, the bet on gas may prove riskier than anticipated, with implications for AI service pricing, consumer energy bills, and the future of data center siting.

FAQs

Q1: Why are hyperscalers building natural gas power plants?
Hyperscalers are building gas plants to secure reliable, low-cost electricity for their rapidly expanding AI data centers, especially in regions like Texas and Louisiana where gas has been cheap.

Q2: What could cause natural gas prices to triple?
Noreva points to surging demand from data centers, slowing supply growth, and rising LNG exports that connect U.S. gas prices to global markets, potentially creating regional price spikes.

Q3: How might higher gas prices affect consumers?
If natural gas prices rise sharply, the cost of electricity from gas plants could increase, potentially leading to higher utility bills for consumers and adding to existing concerns about data centers’ energy use.