In an exclusive interview, the CEO explained the upsides and downsides of Big Tech investments in nuclear power.

Microsoft, Amazon and Google have all struck deals this year with developers of atomic power, which they argue can provide the reliable 24-hour low-carbon energy to power their data centres — and keep their valuations soaring on the strength of their AI ambitions.

Nuclear energy could be the long-term solution for the energy demands of AI. In the short-term, though, AI companies may turn to oil and gas.

The topic of energy is rapidly becoming central to the conversation around AI. AI is increasingly helping power suppliers deal with its own increasing demand.

The NANO Nuclear-Everstar collaboration, which was announced in July 2024, has already produced an advanced AI-driven compliance solution, designed to simplify and streamline NANO’s regulatory processes, marking an important step forward in both companies’ commitment to efficiency and safety in nuclear power.

In the US, demand for power from AI data centers is skyrocketing, driven by the intensive computational requirements of its models. Will it let up?

Nuclear power not only provides the energy scale and reliability required by AI-driven data centers but also helps address the global need for climate action. With this synergy, the growth of AI ...

According to the September updated edition of the report, "Pathways to Commercial Liftoff Advanced Nuclear" by the US Department of Energy (DOE), the U.S.

NANO Nuclear Energy (NNE) announced the successful three-month pilot project aimed at addressing regulatory challenges in the nuclear sector

Founder and Chairman of NANO Nuclear Energy. “As we accelerate down this path, the integration of Everstar's AI solutions will be beneficial in optimizing our resource allocation, enhancing the ...

The intersection of artificial intelligence (AI) and nuclear energy is a critical area of research, especially within the innovation economy. As AI applications expand, they require significant energy resources;

Boisseau: You still need to know your business problems, though. You need to have enough AI literacy at your executive level, so you know where AI could be useful in solving them. Consultants could help with this for sure, but your long-term goal is to have that expertise in-house, right?