Forget Nuclear: The Old-School Energy Source Quietly Winning the AI Power Race

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By Jeremy Phillips Published

Quick Read

  • KMI says 70% of future data center power demand runs on its assets, while GEV booked $2.4B in Q1 2026 data center equipment orders alone.

  • Appalachian producers AR and CNX both beat earnings expectations, reinforcing broad AI-driven demand tailwinds for natural gas producers.

  • U.S. electricity demand was effectively flat for 15 years while AI compute explodes into a grid that forgot how to grow.

  • The analyst who called NVIDIA in 2010 just named his top 10 stocks and EQT wasn't one of them. Get them here FREE.

Forget Nuclear: The Old-School Energy Source Quietly Winning the AI Power Race

© Spooh / Getty Images

The AI power conversation is dominated by nuclear restarts and small modular reactor headlines. The electrons heating GPU racks today come from natural gas. I’ve been tracking the AI infrastructure buildout for over a year, and the picture keeps sharpening: gas is winning because it can be built behind the meter, at gigawatt scale, with build cycles measured in months.

Look at xAI’s COLOSSUS II, one of the world’s largest AI training data center clusters, powered by a self-built behind-the-meter gigawatt-scale natural gas power plant. Operators have explicitly said their ability to scale depends in part on continued access to natural gas supply at economically feasible prices, the availability of gas turbines and related equipment, and the maintenance of a regulatory environment that permits and supports the use of natural gas for large-scale power generation.

The macro setup is wild. U.S. electricity generation was effectively flat from 2008 to 2023 at a 0.1% CAGR, and growth between 2023 and 2025 has only modestly accelerated to under 3% annually. AI compute demand is exploding into a grid that forgot how to grow.

The pipelines are the toll road

Kinder Morgan (NYSE:KMI | KMI Price Prediction) says approximately 70% of future data center power demand markets sit on its assets. The $10 billion backlog is approximately 90% natural gas and nearly 60% supporting power generation. CEO Kim Dang said "total demand for natural gas is expected to grow by 17% through 2030, led by LNG exports."

Williams Companies (NYSE:WMB) is running the same playbook. FY2025 Adjusted EBITDA hit a record $7.75 billion, up 9% YoY. CEO Chad Zamarin announced "Socrates the Younger," lifting power innovation capital to over $7 billion in execution, with the first project online in H2 2026. Shares are up 20% YTD.

The Appalachian producers

EQT (NYSE:EQT) delivered a Q1 2026 stunner: adjusted EPS of $2.33 beat $2.16, revenue of $3.378 billion topped $3.24B, with record free cash flow of $1.83 billion. CEO Toby Z. Rice said "accelerating power demand growth in the United States – particularly in Appalachia – is creating incremental opportunities in our backyard." Fitch upgraded the credit to BBB.

Antero Resources crushed too, with EPS of $1.72 and revenue of $1.95B. Antero sells meaningful volumes along the LNG fairway. CNX Resources beat by a wide margin on EPS, with revenue that topped expectations.

The equipment chokepoint

GE Vernova (NYSE:GEV) is the bottleneck nobody can route around. In Q1 2026 the Electrification segment booked $2.4 billion in equipment orders to support data centers, more than all of last year. Management raised the year-end 2026 combined gas turbine backlog target to at least 110 GW. Shares are up 48% YTD.

The bottom line

Henry Hub spot near $3.10/MMBtu looks soft against the $5-plus realized prices producers tout, but the structural story is about volume growth. You’d want this thesis if you believe AI compute keeps outrunning the grid. If you think nuclear arrives in time, the urgency fades. I’m watching gas turbine lead times more closely than uranium spot.

Photo of Jeremy Phillips
About the Author Jeremy Phillips →

I've been writing about stocks and personal finance for 20+ years. I believe all great companies are tech companies in the long run, and I invest accordingly.

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