GEV

Shares of behind-the-meter power names are selling off in unison at midday Tuesday.

JANESVILLE, Wis., Aug. 18, 2026 /PRNewswire/ -- As U.S. nuclear fuel recycling moves toward commercial reality, SHINE, a fusion energy company with a platform serving the nuclear fuel recycling market, is working with GE Vernova on a project to develop a modernized and more efficient system to track spent fuel throughout the recycling process.

GEV's $176 billion backlog and surging orders highlight rising demand for power and grid technologies, supporting stronger growth visibility.

GEV's Q2 results show accelerating growth, stronger margins and cash flow, with robust orders and a raised 2026 outlook.

It doesn't make chips or software. The giant industrial company makes the turbines, grid equipment, and nuclear technology that help keep AI data centers running.

GE Vernova (GEV) is upgraded to buy as it consistently raises guidance and outperforms prior expectations. GEV's strong backlog, recurring high-margin services, and robust balance sheet underpin a conservative fair value estimate of $1,130 per share. The Power segment dominates revenue, while Electrification accelerates growth and Wind is positioned for a turnaround and margin expansion.

GEV is sitting right on two of AI's nastiest bottlenecks: power availability and grid equipment. The real question is how fast GEV can turn that backlog into capacity, revenue, and margins. The ~31% long-term EPS growth story looks doable through 2028, but the math gets much tougher once the easy margin expansion is behind it.

GEV's strong orders, rising gas turbine demand and expanding manufacturing capacity are driving growth, but its premium valuation may warrant caution.

GE Vernova (NYSE:GEV | GEV Price Prediction) and Eaton (NYSE:ETN) just delivered Q2 2026 results that read like two halves of the same AI power thesis.

The artificial intelligence investment boom has created an unexpected reality: building the world's fastest chips is no longer the hardest part of expanding AI infrastructure.