Hyperscalers May Reevaluate Natural Gas Consumption in Light of Revised Forecasts
As major investments pour into renewable energy, leading tech companies such as Amazon, Google, Meta, and Microsoft are increasingly depending on natural gas to power their data centers that drive extensive AI activities. Nevertheless, a new research report has spotlighted the potential dangers tied to this escalating dependence on fossil fuels among these tech giants.
Noreva, a research firm with a focus on energy, has warned that natural gas prices in various regions throughout the U.S. could potentially triple in the near future. This anticipated price spike is primarily attributed to heightened demand from hyperscalers, constrained supply growth, and increasing liquefied natural gas (LNG) exports, which may leave hyperscalers vulnerable to sudden price fluctuations.
“Many in the energy sector have underestimated future gas prices,” remarked Peter Gardett, CEO of Noreva, during an interview with TechCrunch. “Simple calculations reveal that the gas market is considerably tighter than it was a few years ago.”
Major Investments by Hyperscalers
The affordability of natural gas is encouraging hyperscalers to bolster their market positions. In March, Meta disclosed plans to develop a 7.5-gigawatt natural gas facility in Louisiana to support its Hyperion data center. Shortly after, Microsoft and Google announced their intentions to construct gigawatt-scale gas plants in Texas. Furthermore, Amazon expressed plans for a 7.6-gigawatt gas plant, also in Texas.
These ordinarily cautious companies, known for their prudent capital expenditures, are now compelled to make substantial investments in physical infrastructure while navigating complex energy markets.
According to Gardett, at least one investor was taken aback by the level of risk that hyperscalers are willing to shoulder concerning natural gas prices. “Their behavior is quite atypical for an off-taker,” he noted.
Noreva forecasts that natural gas prices could surpass $10 per million BTUs at certain delivery points, a stark contrast to the current prices oscillating between $2 and $4.50 per million BTUs, with the well-known Henry Hub in Louisiana priced just under $3.
Considering that fuel costs represent nearly half of the electricity expenses for large power plants, a twofold or threefold escalation in natural gas prices could significantly increase operational costs for AI data centers that “generate their own power.” This scenario may lead to rising token prices or force hyperscalers to rely more on the grid, thereby hiking their electricity expenditures.
In the short term, natural gas prices seem stable, with futures contracts indicating low volatility. “It’s a reasonable assumption,” Gardett mentioned, while expressing skepticism about long-term stability.
Rising Demand
The stabilization of natural gas prices is due to a sustained period of steady demand combined with limited supply growth, which offsets declines from aging wells, according to Gardett’s analysis. He asserts that energy companies can increase supply, albeit not back to prior levels, and drilling new wells has become increasingly costly.
“This alone wouldn’t significantly alter the economic landscape. The key factor is that we are now linking the domestic gas market with the global one,” he emphasized. “Additionally, there’s an uptick in demand driven by AI.”
Hyperscalers are attracted to Texas and Louisiana due to their lower natural gas prices. For example, many gas wells in West Texas primarily focus on oil extraction, with natural gas being a byproduct facing limited market opportunities. Historically, inadequate pipeline infrastructure has hampered the transportation of this gas, forcing producers to sell it at lower prices. However, notable infrastructure enhancements are currently underway.
“Recently built pipelines are primarily aimed at export markets,” Gardett explained.
As West Texas continues to strengthen its ties with regional and global natural gas markets, local demand will increasingly dictate prices in various areas and vice versa. Even minor price shifts near hyperscaler data centers could substantially affect costs in different regions.
“Certain locations will have an abundance of gas, while others will face shortages, resulting in significant price discrepancies,” Gardett emphasized. Such variations could drive prices in certain areas above $10 per million BTUs for extended durations.
In this evolving landscape, even if hyperscalers adapt to rising costs, their increasing consumption of natural gas may trigger growing public discontent towards data centers. Currently, 80% of consumers express concerns about the impact of data centers on their utility bills, particularly regarding electricity costs. This unease is likely to extend to natural gas pricing as well.
By rapidly electrifying their AI data centers, hyperscalers are becoming more entwined with the fossil fuel industry—an area in which they possess relatively limited expertise, yet one that could significantly affect their operations.
“During future earnings calls for Alphabet, we may witness discussions regarding the connection between natural gas prices and Google’s performance, which is uncommon but reflects the current reality we face,” Gardett concluded.
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