AI boom to fuel natural gas demand in coming years, report says
A spike in power usage from artificial intelligence (AI) data centers could significantly boost natural gas demand in the second half of the decade, analysts at investment banker Tudor Pickering Holt & Co said in a recent report.
As much as 8.5 billion cubic feet per day of natural gas could be required additionally to match the rise in demand, the report added.
US power and technology companies have expressed concerns that the country’s electrical systems are not expanding fast enough to meet the rapidly growing power needs of technology such as Generative AI, prompting data centre businesses to sometimes bypass utilities and strike deals directly with power producers or build their own supply.
The uptick in overall demand has added to a nationwide queue of requests for power generation and energy storage projects to connect to the grid, which swelled to 2,600 gigawatts in 2023 from 2,000 gigawatts in 2022, according to the latest data from Lawrence Berkeley National Laboratory.
According to the report, natural gas prices could average $4 per million British thermal units during the second half of the decade.
Natural gas prices touched a three-and-a-half-year low in February to $1.61 per mmbtu largely due to mild winter weather, forcing many producers to curtail their production.
The analysts expect pipeline operators such as Kinder Morgan (KMI.N), Williams (WMB.N) and Energy Transfer (ET.N) to be in the best position to take advantage of the growing gas demand, while gas producers such EQT (EQT.N) and Chesapeake Energy (CHK.O) would also benefit.
The report estimates current power demand from data centres at 11 gigawatts (GW), which, in the base case, is expected to grow to 42 GW by 2030.
The report added that, at its base case, around 2.7 bcfd of incremental natural gas would be required by 2030.