A true nuclear renaissance is taking shape, and these stocks could be big winners

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-10-08T10:48:34.221Z • Permanent link

The nuclear-energy industry has been experiencing a significant resurgence in recent years, with many analysts pointing to the emergence of new technologies and innovations as a key driver of this trend. However, it is the role of artificial intelligence (AI) in the industry that has caught the attention of experts and investors alike. According to recent data from the World Nuclear Association, the global nuclear power market is expected to grow by 4% per annum over the next decade, driven in part by the increasing adoption of AI and machine learning (ML) technologies.

At the forefront of this trend is a group of companies that have been investing heavily in AI research and development. One such company is Westinghouse Electric Company, which has been working on a range of AI-powered solutions for the nuclear industry, including advanced reactor designs and real-time monitoring systems. The company's CEO, Lee F. Suh, has been a vocal advocate for the use of AI in the nuclear sector, stating in a recent interview that "AI has the potential to revolutionize the way we operate nuclear power plants, making them safer, more efficient, and more reliable.

Meanwhile, in the United States, the Department of Energy has been working on a range of initiatives aimed at promoting the development and deployment of AI in the nuclear industry. One such initiative is the Advanced Reactor Concepts (ARC) program, which is focused on developing new reactor designs that can take advantage of AI and ML technologies. The program has already seen significant investment, with companies such as Lockheed Martin and General Electric participating in the effort.

The emergence of AI in the nuclear-energy industry has significant implications for the Data Sources domain. Companies that are able to harness the power of AI will be well-positioned to capitalize on the growing demand for nuclear energy, which is expected to increase by 2% per annum over the next decade. According to a recent report from the International Energy Agency (IEA), the global nuclear power market is expected to grow from 2,200 gigawatts (GW) in 2020 to 3,300 GW by 2030, driven in part by the increasing adoption of AI and ML technologies.

Research communities and markets will also be impacted by the growing use of AI in the nuclear industry. For example, the development of AI-powered predictive maintenance systems is expected to become increasingly important, as companies look to reduce downtime and improve overall efficiency. This has significant implications for companies such as Siemens, which has been investing heavily in AI-powered predictive maintenance technologies. According to a recent report from MarketsandMarkets, the global predictive maintenance market is expected to grow from $4.8 billion in 2020 to $12.4 billion by 2025, driven in part by the increasing adoption of AI and ML technologies.

The emergence of AI in the nuclear-energy industry is part of a larger trend that is seeing significant investment in the development of new technologies and innovations. In recent years, there has been a growing recognition of the need for more sustainable and low-carbon energy solutions, and the nuclear industry has been at the forefront of this trend. However, the industry has historically been hampered by high upfront costs and concerns about public perception, which has limited its growth. The role of AI in the industry is expected to help address these challenges, by reducing costs and improving efficiency.