Blue Chips

· Source: Doomberg · Field: Energy & Utilities — Utilities & Infrastructure, Traditional Energy & Fossil Fuels, Energy Markets & Policy · Depth: Intermediate, quick

Summary

The article revisits predictions made nearly two years ago regarding data center trends, noting the increasing manifestation of "behind the meter" natural gas-powered facilities driven by the artificial intelligence (AI) boom. It reiterates that nuclear power faces a significant timing mismatch for AI's urgent electricity demands, making natural gas, as the "cleanest-burning hydrocarbon capable of producing a steady supply of baseload electricity," inherently well-suited. Previous analyses, "Bridge Burning" and "Irreconcilable Differences," emphasized the inevitability of dedicated power plants and predicted a surge in demand for gas turbines and a favorable position for Permian Basin natural gas producers. Despite these logical predictions, progress has been slow due to environmental concerns and tightened regulations in Texas and federally, with many large off-grid projects not yet reaching final investment decision (FID). However, Project Kilby, slated to be twice the size of Project Stargate, is nearing FID and is expected to significantly impact Permian oil and gas flows.

Key takeaway

For investors evaluating energy infrastructure plays, the slow but inevitable shift towards "behind the meter" natural gas-powered data centers presents a nuanced opportunity. You should closely monitor large-scale projects like Project Kilby, which is nearing final investment decision and poised to significantly impact Permian oil and gas markets. Be aware that regulatory challenges can delay even logically sound infrastructure developments, influencing investment timelines and risk assessments for related technologies like gas turbines.

Key insights

The AI boom is driving demand for "behind the meter" natural gas data centers, despite regulatory hurdles and slow progress.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Investor, Executive, Consultant

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Doomberg.