Chevron's Microsoft Data Center Deal Was a Bigger Story Than Its Earnings. Here's Why.
Chevron is getting in on the AI boom with its recent long-term energy agreement with Microsoft.
Chevron's second-quarter earnings beat analyst expectations in July, driven by higher oil prices, increased production, and strong margins. However, the company's recent 20-year power purchase agreement (PPA) with Microsoft for an AI-focused data center in Texas may prove to be a bigger story for Chevron investors.
This groundbreaking deal, part of Project Kilby, enables Chevron to secure long-term revenue and insulate itself from volatile commodity prices. The agreement will provide electricity for a Microsoft-operated data center, utilizing roughly 2.67 gigawatts (GW) of on-site power. Most of the power will come from GE Vernova's gas-powered turbines, with additional capacity from Solar Turbines, a subsidiary of Caterpillar.
Chevron, through its subsidiary Energy Forge One, will supply natural gas from its Permian Basin production field to the power plant, while Energy Forge One manages long-term operations, including maintenance and water management systems. The modular approach allows the project to add capacity over time, with the power plant expected to begin supplying power by 2028.
This strategic move into AI data centers presents Chevron with a high-margin commercial expansion opportunity. By using associated natural gas from crude oil drilling, Chevron can redirect excess gas, which is often burned off due to limited capacity. The 20-year take-or-pay contract provides Chevron with stable revenue, eliminating upstream gas price volatility while ensuring Microsoft secures energy decades in advance.
The AI data center build-out highlights the true bottleneck for hyperscalers: reliable power. This deal not only adds another revenue stream for Chevron benefiting from AI's secular growth but could also pave the way for more future deals. Long-term investors should pay closer attention to this development.
Written by urgent.news from Yahoo Finance's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.