The Power Map: Why Pipelines Are AI’s New Best Friend

TGS data reveals that two-thirds of US gas reserves sit near pipelines, offering a fast-track power solution for energy-hungry AI data centers

16 Mar 2026

Natural gas is emerging as the primary bridge for the American technology sector as it struggles to meet the energy demands of artificial intelligence. Recent data from TGS, an energy analytics firm, shows that nearly two-thirds of proved US gas reserves are located within one kilometre of existing pipeline infrastructure.

This proximity allows developers to build data centers that generate electricity on-site. By bypassing the traditional power grid, companies can avoid a connection process that now takes between two and six years in major markets.

Data center electricity consumption is forecast to rise from 183 terawatt hours in 2024 to more than 426 terawatt hours by 2030. The TGS study identified 250 trillion cubic feet of gas reserves positioned near pipelines, out of a total mapped volume of 377 trillion cubic feet.

The strategy of "behind-the-meter" generation is gaining traction among hyperscale cloud providers. These firms require immediate power to maintain their competitive edge in AI development. Beyond fuel access, the analysis also accounted for water stress, a vital factor for the cooling systems required by large server farms.

However, the scale of the required energy remains a significant hurdle. Total US gas production would need to increase by more than 15 billion cubic feet per day to meet projected demand through gas alone. Even capturing all gas currently lost to flaring at well sites would not bridge this gap.

Environmental concerns continue to weigh on the transition. While some operators are exploring carbon capture technology to mitigate emissions, the commercial application of such systems at data center sites is still in its infancy.

The findings reflect a shift in how energy data is utilised. Historically used for extraction and reserve estimates, subsurface analytics are now being applied to site selection for the digital economy. As grid bottlenecks persist, the location of gas infrastructure has become a decisive factor in the expansion of American computing power.