AI-driven data centre expansion is emerging as a significant new variable in power system planning, with experts observing that rising compute demand is reshaping electricity load patterns and grid reliability assumptions.


Speaking at a session ‘From Insights to Action for Resilient, High-Performance Data Centres’ during the India AI Impact Summit 2026, policymakers and energy experts said AI infrastructure is no longer just a digital economy issue but increasingly a power-sector challenge.


The session, organised in collaboration with the US Department of Energy and the National Lab of the Rockies (earlier known as the National Renewable Energy Laboratory), focused on how rapid growth in AI-driven compute demand is creating highly variable and concentrated electricity loads. Participants noted that such dynamic demand profiles challenge traditional grid planning models and long-term investment frameworks.


Jaqueline Cochran, Associate Laboratory Director at the National Lab of the Rockies, said data centres represent “one of the defining energy challenges of our time,” emphasising the need for integrated planning across chips, cooling technologies, grids, transmission and generation systems.


Arunabha Ghosh, CEO, Council on Energy, Environment and Water (CEEW), pointed out that India’s data centre expansion is being shaped by competitive federalism, with states offering incentives in the absence of a binding national framework. He underlined the need to move from fragmented approaches towards a coherent policy structure aligning infrastructure planning, resource efficiency and investment signals.


The discussion also highlighted the energy–water nexus, cooling requirements and siting strategies, with experts noting that AI data centres are among the most energy-intensive components of digital infrastructure. Addressing power, cooling, water use and carbon implications together — rather than in silos — was identified as critical for long-term system resilience.


The session concluded with a call for integrated energy and digital infrastructure planning, supported by regulatory mechanisms that balance innovation, affordability and reliability, as India’s AI ecosystem continues to expand.