Hyperscalers Rethink Natural Gas Utilization Following Updated Projections

As significant investments continue to 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, which are crucial for AI operations. Nonetheless, a recent study has underscored the potential risks linked to this escalating reliance on fossil fuels by these technology giants.

Noreva, a research organization that focuses on energy, has warned that natural gas prices in various regions of the U.S. could potentially triple in the near future. This expected rise is mainly driven by heightened demand from hyperscalers, stagnant supply growth, and increasing exports of liquefied natural gas (LNG), which could expose hyperscalers to abrupt price shifts.

“Many in the energy sector have underestimated future gas prices,” commented Peter Gardett, CEO of Noreva, during an interview with TechCrunch. “Basic calculations show that the gas market is significantly tighter than it was a few years back.”

Noteworthy Investments by Hyperscalers

The current low prices of natural gas are incentivizing hyperscalers to bolster their market presence. In March, Meta revealed plans to construct a 7.5-gigawatt natural gas facility in Louisiana to support its Hyperion data center. Shortly thereafter, Microsoft and Google announced their intentions to develop gigawatt-scale gas facilities in Texas. Furthermore, Amazon unveiled plans for a 7.6-gigawatt gas facility, also in Texas.

Historically known for their cautious capital expenditures, these companies are now compelled to make substantial investments in physical infrastructure while navigating complex energy markets.

According to Gardett, at least one investor was surprised by the extent of risk that hyperscalers are willing to take with regards to natural gas pricing. “Their behavior is quite unusual for an off-taker,” he noted.

Noreva anticipates that natural gas prices could surpass $10 per million BTUs at certain delivery points, marking a stark contrast to current rates ranging from $2 to $4.50 per million BTUs, with the prominent Henry Hub in Louisiana currently priced just below $3.

Given that fuel costs account for nearly half of the electricity expenses of large power plants, a doubling or tripling of natural gas prices could dramatically increase operational costs for AI data centers that “generate their own power.” This scenario could lead to higher token prices or necessitate greater reliance on the grid, ultimately raising their electricity costs.

In the short term, natural gas prices appear stable, with futures contracts exhibiting minimal volatility. “It’s a reasonable assumption,” Gardett stated, although he harbored doubts about long-term stability.

Rising Demand

The current stability in natural gas prices can be attributed to a sustained period of steady demand combined with limited supply growth, which compensates for declines from aging wells, according to Gardett’s analysis. He asserts that while energy companies can enhance supply, it will not return to historical levels and drilling new wells has become exceedingly costly.

“This alone wouldn’t significantly change the economic landscape. The key factor is that we are now linking the domestic gas market to the global market,” he stressed. “Additionally, there is an uptick in demand propelled by AI.”

Hyperscalers are particularly focusing on Texas and Louisiana, where natural gas costs are more favorable. For example, many gas wells in West Texas primarily focus on oil extraction, with natural gas being an associated byproduct that suffers from restricted market demand. Traditionally, inadequate pipeline infrastructure has impeded the transportation of this gas, compelling producers to sell at reduced prices. However, significant infrastructure improvements are currently underway.

“Recently constructed pipelines are mainly aligned with export markets,” Gardett clarified.

As West Texas improves its links to both regional and global natural gas markets, local demand will increasingly affect prices in various areas, and conversely. Even minor price shifts near hyperscaler data centers could dramatically influence costs in surrounding regions.

“Some areas will have an excess of gas, while others will face shortages, resulting in significant price differences,” Gardett reiterated. Such variations could cause prices in particular regions to soar above $10 per million BTUs for extended periods.

In this evolving landscape, even if hyperscalers adapt to rising costs, their increased consumption of natural gas may raise public concern regarding data centers. Presently, 80% of consumers are anxious about the effect of data centers on their utility bills, particularly concerning electricity costs. This anxiety is likely to extend to natural gas pricing as well.

By rapidly electrifying their AI data centers, hyperscalers are becoming more entangled with the fossil fuel industry—an area where they possess relatively limited expertise, yet one that could significantly affect their operational dynamics.

“In the upcoming earnings reports from Alphabet, we may see discussions about the correlation between natural gas prices and Google’s performance, which would be unusual yet indicative of the situation we are facing,” Gardett concluded.

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