3 Energy Stocks to Buy and 2 to Avoid as AI Power Demand Explodes

Why It Matters

The shift to “bring‑your‑own‑power” removes grid bottlenecks, unlocking growth for energy‑tech firms and reshaping capital allocation in the AI‑driven data‑center market.

Key Takeaways

• GE Vernova holds ~83 GW gas‑turbine backlog, targeting 20 GW annual capacity
• Bloom Energy’s fuel‑cell contracts could reach 5 GW annual output by 2030
• Kodiak’s acquisition adds 395 MW of mobile generation for data‑center sites
• Off‑grid projects like Oracle’s Project Jupiter bypass six‑year grid wait times
• NextEra and AECOM lack baseload exposure, making them unattractive in this cycle

Pulse Analysis

The AI boom is turning power into the next scarcity. While hyperscalers pour more than $700 billion into data‑center construction, grid interconnection delays of up to six years force firms to look beyond traditional utilities. Altimetry’s analysis projects U.S. electricity demand to jump from 24 GW in 2022 to 166 GW by 2030, a surge driven largely by continuous AI model training and inference workloads. This mismatch creates a lucrative niche for companies that can deliver reliable, on‑site generation without regulatory lag.

Energy‑tech players are already positioning themselves to capture this upside. GE Vernova, one of only three turbine manufacturers worldwide, reports an 83 GW gas‑turbine backlog and aims for 20 GW of annual capacity by mid‑2026, signaling strong demand for baseload power. Bloom Energy’s solid‑oxide fuel cells, validated by Oracle’s off‑grid Project Jupiter, are on a trajectory to produce 5 GW per year by 2030, offering a clean, continuous power source that sidesteps grid constraints. Kodiak Gas Services, after acquiring Distributed Power Solutions, now controls 395 MW of mobile generation that can be deployed directly at data‑center sites, turning its compression expertise into a dual‑revenue model.

For investors, the story reshapes the energy‑infrastructure playbook. Companies that can provide “bring‑your‑own‑power” solutions are likely to see accelerated revenue growth and higher margins, while traditional utilities focused on wind, solar, or long‑haul transmission—such as NextEra—may lag as data centers prioritize baseload reliability. The emerging hierarchy underscores a shift from grid‑centric investment to decentralized, on‑site generation, suggesting a multi‑year runway for firms that can meet AI’s insatiable power appetite.