Solving AI’s Power Problem with Nuclear Energy
Q&A with Bob Johnson, VP Analyst, Gartner — Global enterprises are facing rapidly increasing electricity consumption driven by AI and generative AI (GenAI), which threatens to disrupt energy availability and lead to data center power shortages. Gartner predicts that power shortages will restrict 40% of AI data centers by 2027. Small modular nuclear reactors (SMRs) are emerging as a viable long-term solution to this looming power crisis. Gartner predicts the first SMR-powered data centers will become operational by 2030, using sustainable power fully independent of utility power distribution grids. We spoke with Bob Johnson, VP Analyst at Gartner, to understand the role that SMRs will play in addressing the power problem and what organizations can do now to get ahead of the game. What role will SMRs play in future energy generation to solve the power crisis? Current demand looks set to exceed the ability of utility providers to expand their capacity fast enough to support the exponential growth of GenAI. Nuclear energy, specifically SMRs, provides a viable answer to the question of “What to do when electricity demand exceeds supply?” Gartner estimates the power required for data centers to run incremental AI-optimized servers will reach 500 terawatt-hours (TWh) per...