This Nuclear AI Stock is Presenting its First Buy the Dip Opportunity ... I’ve heard repeated over and over… The average ChatGPT query takes 17 times more energy than the average Google search AI has exploded since ChatGPT was unveiled to the public ...

The rapid growth of artificial intelligence globally will cause a surge in electricity demands that will initially be met by fossil fuels, at least until nuclear power becomes the obvious solution, according to Dale Klein,

The surge in artificial intelligence (AI) has led many companies to urgently reassess their energy strategies. These companies, along with several countries, have also committed t

To most of us, a power plant is a source of electricity. To Exxon Mobil Corp., it’s a machine that converts natural gas into money. And this is a propitious time for doing that. Exxon announced this week that it is getting into the electricity game — sort of.

The convergence of AI and nuclear energy brings unique risks, especially when AI moves from a passive tool to an autonomous participant.

Meta is turning to nuclear energy to power its AI ambitions with the release a request for proposals to partner with nuclear energy developers.

The electricity required to support AI could contribute to approximately 600,000 asthma cases and create a $20 billion public health burden by 2030

Big Tech’s race to power AI data centers has hit a bottleneck: Clean energy infrastructure moves at a snail’s pace compared to tech’s lightning speed.

Japan's restart of the Shimane nuclear reactor, coupled with tech giants' increasing interest in nuclear power, signals a global shift towards nuclear energy as a solution to rising energy demands and a sustainable future.

There's no AI revolution without an energy revolution, according to leaders in the AI industry.

Meta's extensive development plans for a huge AI campus leveraging nuclear energy exemplify how the data center industry will focus on powering its future.

This issue, which is already affecting public health, is expected to worsen. By 2030, data centers in the US could contribute to 600,000 asthma cases and 1,300 premature deaths annually. This would account for more than a third of all asthma-related deaths in the country.