Although uranium is not directly used in artificial intelligence, it plays an indirect role by supporting the energy systems that power AI technologies. Artificial intelligence requires vast amounts of computing power, particularly for training large models and running data centres. These facilities demand consistent, large-scale electricity supply to operate effectively. Nuclear energy, fuelled by uranium, is one of the few power sources capable of delivering reliable, round-the-clock electricity at the scale required.

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The growth of AI highlights broader questions around energy security and sustainability. Data centres, which already consume an estimated 1–2% of global electricity, are expected to grow significantly as AI adoption accelerates. Ensuring this demand is met with low-carbon energy sources is becoming a priority for both governments and industry. Nuclear power plants, using uranium fuel, offer a low-emissions option that can operate continuously, complementing renewable energy sources that are subject to variability.

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In addition to electricity generation, uranium-fuelled research reactors also contribute to scientific fields that support AI development. High-performance computing, advanced materials, and quantum technologies often rely on insights from nuclear research. These connections highlight how uranium’s role in energy and science indirectly supports the infrastructure and innovation behind artificial intelligence.

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While uranium itself is not an input into AI systems, its contribution to stable, large-scale, and low-emissions electricity makes it a relevant factor in the ongoing discussion about how to power the digital economy sustainably.