Hyperscalers May Reevaluate Natural Gas Consumption Based on Revised Forecasts
As significant investments pour into renewable energy, major tech firms such as Amazon, Google, Meta, and Microsoft are increasingly depending on natural gas to power their data centers that support crucial AI operations. However, a recent research report has unveiled the potential risks tied to this escalating dependence on fossil fuels among these technology giants.
Noreva, an energy-focused research organization, has warned that natural gas prices across various U.S. regions could potentially triple in the near future. This anticipated price hike is driven primarily by heightened demand from hyperscalers, stagnant supply growth, and increasing liquefied natural gas (LNG) exports, which may subject hyperscalers to sudden price fluctuations.
“Many within the energy sector have misjudged future gas prices,” remarked Peter Gardett, CEO of Noreva, during an interview with TechCrunch. “Simple calculations reveal that the gas market is significantly tighter than it was a few years back.”
Major Investments by Hyperscalers
The low prices of natural gas are encouraging hyperscalers to bolster their market positions. In March, Meta unveiled plans to build a 7.5-gigawatt natural gas facility in Louisiana to support its Hyperion data center. Shortly after, Microsoft and Google announced their plans to construct gigawatt-scale gas plants in Texas. Moreover, Amazon has revealed intentions for a 7.6-gigawatt gas facility, also in Texas.
These companies, typically recognized for their cautious capital investments, are now compelled to heavily invest in physical infrastructure while navigating complex energy markets.
According to Gardett, at least one investor was surprised by the level of risk that hyperscalers are willing to accept regarding natural gas prices. “Their behavior is quite atypical for an off-taker,” he noted.
Noreva forecasts that natural gas prices could exceed $10 per million BTUs at certain delivery points, which sharply contrasts with current prices ranging from $2 to $4.50 per million BTUs, with the well-known Henry Hub in Louisiana priced just under $3.
Considering that fuel costs constitute nearly half of the electricity expenses for large power plants, a twofold or threefold increase in natural gas prices could significantly escalate operational costs for AI data centers that “generate their own power.” This scenario could result in heightened token prices or compel hyperscalers to rely more on the grid, ultimately boosting their electricity expenditures.
In the short-term, natural gas prices seem stable, with futures contracts showing little volatility. “It’s a reasonable assumption,” Gardett commented, although he expressed skepticism about long-term stability.
Rising Demand
The current steadiness in natural gas prices can be attributed to a prolonged period of consistent demand alongside limited supply growth, counterbalancing declines from aging wells, according to Gardett’s analysis. He argues that energy companies can increase supply, but not to past levels, and drilling new wells has become exceedingly costly.
“This alone wouldn’t dramatically alter the economic landscape. The critical factor is that we are now linking the domestic gas market with the global one,” he emphasized. “Additionally, there is a rising demand spurred by AI.”
Hyperscalers are particularly attracted to Texas and Louisiana, where natural gas prices are lower. For example, many gas wells in West Texas primarily focus on oil extraction, with natural gas being a byproduct that has limited market demand. Historically, inadequate pipeline infrastructure has hindered the transport of this gas, compelling producers to sell at reduced prices. However, considerable infrastructure enhancements are currently underway.
“Recently built pipelines are primarily directed towards export markets,” Gardett clarified.
As West Texas continues to strengthen its connections with regional and global natural gas markets, local demand will increasingly sway prices in various areas and vice versa. Even minor price fluctuations near hyperscaler data centers could substantially influence costs in different regions.
“Certain locales will have an abundance of gas, while others will face shortages, leading to significant price disparities,” Gardett reiterated. Such variations could cause prices in specific regions to exceed $10 per million BTUs for extended periods.
In this evolving landscape, even if hyperscalers adapt to rising costs, their amplified consumption of natural gas may incite growing public concern regarding data centers. At present, 80% of consumers are worried about the impact of data centers on their utility bills, particularly concerning electricity costs. This concern is likely to extend to natural gas pricing as well.
By swiftly electrifying their AI data centers, hyperscalers are becoming more intertwined with the fossil fuel industry—an area in which they possess relatively limited expertise, yet one that could significantly affect their operational dynamics.
“In future earnings calls for Alphabet, we may observe dialogues about the relationship between natural gas prices and Google’s performance, which would be unusual but indicative of the reality we are confronting,” Gardett concluded.
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