AI Power Surge Puts Nuclear Energy Back in Spotlight

The insatiable energy demands of the generative AI boom are triggering a dramatic shift in the global power landscape, with nuclear energy experiencing a significant revival. A pivotal 2025 report from Goldman Sachs projects that data centre power demand will skyrocket by 160% before the end of the decade, a surge directly fueled by the computational needs of large language models (LLMs) like GPT-4 and Claude 3. This projection has turned nuclear power from a niche player into a central pillar for future energy infrastructure, prized for its ability to provide the massive, stable, and carbon-free baseload power that hyperscale AI data centres require.

In response, both established technology giants and agile startups are accelerating investments in nuclear energy. Companies are moving beyond power purchase agreements to directly fund and develop next-generation nuclear projects, including small modular reactors (SMRs), which offer scalable and potentially safer deployment. This strategic pivot is not just about securing clean energy credits; it's a fundamental requirement for operational stability. The intermittent nature of some renewables makes them less ideal for powering 24/7 AI inference and training workloads, positioning nuclear as the most viable solution for supporting the relentless growth of AI infrastructure while meeting corporate sustainability goals.