Hyperscalers Reassess Natural Gas Consumption Based on New Forecasts
As significant investments continue to pour into renewable energy, major technology firms such as Amazon, Google, Meta, and Microsoft are increasingly depending on natural gas to power their data centers that support vital AI functions. Nonetheless, a recent study has underscored the potential dangers linked to this escalating reliance on fossil fuels by these tech giants.
Noreva, a research organization concentrating on energy, has warned that natural gas prices in several U.S. regions could potentially triple in the near future. This expected rise is primarily fueled by growing demand from hyperscalers, stagnant supply growth, and increasing liquefied natural gas (LNG) exports, which may leave hyperscalers vulnerable to sudden price shifts.
“Many in the energy sector have underestimated future gas prices,” remarked Peter Gardett, CEO of Noreva, in an interview with TechCrunch. “Basic calculations suggest that the gas market is significantly tighter than it was a few years back.”
Major Investments by Hyperscalers
The current low prices of natural gas are prompting hyperscalers to fortify their positions in the market. In March, Meta unveiled plans to construct a 7.5-gigawatt natural gas facility in Louisiana to support its Hyperion data center. Shortly after, Microsoft and Google announced intentions to establish gigawatt-scale gas facilities in Texas. Additionally, Amazon made known its plans for a 7.6-gigawatt gas facility, also in Texas.
These companies, typically recognized for their prudent capital investments, are now pushed to invest heavily in physical infrastructure while traversing complex energy markets.
According to Gardett, at least one investor was surprised by the amount of risk that hyperscalers are prepared to take on regarding natural gas prices. “Their actions are quite unusual for an off-taker,” he noted.
Noreva projects that natural gas prices could surpass $10 per million BTUs at certain delivery points, a stark contrast to current prices ranging from $2 to $4.50 per million BTUs, with the prominent Henry Hub in Louisiana priced just below $3.
Given that fuel costs make up nearly half of electricity expenses for large power plants, a twofold or threefold increase in natural gas prices could drastically elevate operational costs for AI data centers that “generate their own power.” This scenario could lead to higher token prices or necessitate hyperscalers to rely more on the grid, ultimately escalating their electricity costs.
In the short term, natural gas prices appear stable, with futures contracts showing little volatility. “It’s a reasonable assumption,” Gardett stated, although he expressed skepticism about long-term stability.
Growing Demand
The current stability in natural gas prices can be ascribed to an extended period of steady demand alongside limited supply growth, which balances out declines from aging wells, per Gardett’s analysis. He believes that energy companies can increase supply, but not to historic levels, and drilling new wells has become exceptionally costly.
“This alone wouldn’t drastically alter the economic landscape. The key factor is that we are now linking the domestic gas market to the global market,” he emphasized. “Furthermore, there is a rising demand fueled by AI.”
Hyperscalers are particularly focused on Texas and Louisiana, where natural gas prices are more advantageous. For instance, many gas wells in West Texas primarily target oil extraction, with natural gas being a byproduct that suffers from limited market demand. Historically, a lack of pipeline infrastructure has hindered the transportation of this gas, forcing producers to sell at reduced prices. However, significant infrastructure improvements are currently underway.
“Recently constructed pipelines are mainly directed towards export markets,” Gardett clarified.
As West Texas enhances its connections to both regional and global natural gas markets, local demand will increasingly impact prices across different areas, and vice versa. Even minor price adjustments near hyperscaler data centers could substantially influence costs in surrounding regions.
“Certain areas will have a surplus of gas, while others will face shortages, resulting in significant price disparities,” Gardett reiterated. Such variations could lead to prices in specific regions soaring above $10 per million BTUs for extended durations.
In this evolving landscape, even if hyperscalers adapt to rising costs, their heightened consumption of natural gas may trigger growing public concern regarding data centers. Currently, 80% of consumers are worried about the impact of data centers on their utility bills, especially concerning electricity costs. This concern 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 sector—an area where they possess relatively limited expertise, yet one that could significantly affect their operational dynamics.
“In upcoming earnings reports from Alphabet, we may see discussions regarding the correlation between natural gas prices and Google’s performance, which would be unusual yet reflective of the reality we are contending with,” Gardett concluded.
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