AI and energy demand- aligning consumption growth with decarbonisation pathways

The rapid rise of Artificial Intelligence (AI) is reshaping the global electricity market, with projections pointing to a 165% rise in data centre power demand by 2030. This surge is being led by ‘hyperscalers’ – large tech companies building and operating data-intensive cloud infrastructure – whose energy requirements are stretching traditional planning models and grid capacity. While AI is contributing to rising electricity demand, it also offers critical solutions to help manage it - enabling more accurate load forecasting, real-time grid optimisation, and smarter energy dispatch. Aligning rapid digital growth with decarbonisation goals will require targeted policy interventions, strategic investment in resilient infrastructure, and a coordinated approach to grid modernisation, as utilities and power companies work to adopt demand-side management tools and invest in cutting-edge facilities. To maintain momentum toward a sustainable future, the energy and technology sectors must collaborate closely to ensure that AI drives an era of resilience, energy security and inclusive growth. Attendee insights: Learn how hyperscalers, utilities and energy developers are using AI to manage rising electricity demand, strengthen grid resilience and advance decarbonisation goals.