

Uranium equities have quietly compounded at rates most sectors would envy, and the Global X Uranium ETF (NYSE:URA) sits at the center of that story.

More than a year after the federal government renewed a push toward nuclear energy, the industry is building momentum thanks to a streamlined process for reactor authorization, an ambitious goal of 300 additional gigawatts of capacity by 2050, and more. The timing is crucial, as AI electricity demand continues to grow and low-carbon energy generation via nuclear facilities is particularly appealing in these contexts.

The annual Rule Symposium in Boca Raton, a leading natural-resource investing conference, was held July 6 to July 10.

The Global X Uranium ETF (NYSEARCA:URA) is the default vehicle for retail investors chasing the nuclear energy revival. With 56 holdings and $6.29 billion in assets under management, URA covers miners, utilities, and nuclear service names in one ticker. That breadth is why the fund attracted so much capital during the reactor restart cycle. It... Forget URA. This Pure-Miner Uranium Fund Skips the Utilities and Is Up 61%

The AI infrastructure story has been about chips, but the actual bottleneck is electricity, and that shift has done more for the Global X Uranium ETF (NYSEARCA:URA) than any fund marketing team could have engineered. URA sits at the intersection of two forces the market cannot ignore. Data centers need staggering amounts of always-on power,... AI's Dirty Little Power Secret Is Turning This Uranium ETF Into a Mainstream Trade

Power demand is the bottleneck of the AI buildout, and nuclear is the only zero-carbon source that can run a hyperscaler 24 hours a day without weather risk.

With disruptions in the oil sector continuing to stretch into the summer, nuclear energy is mounting an increasingly compelling use case. It is one of a few reasons why now may be a good time to increase your portfolio's uranium exposure.

If you own the Invesco Solar ETF (NYSEARCA:TAN) because you wanted exposure to the energy buildout behind artificial intelligence, the thesis deserves a second look.