A Capgemini report highlighted by Data Centre Magazine finds that utilities are systematically underestimating the power demands of AI data centers, creating planning gaps that could affect grid reliability. The report points to misaligned forecasting methodologies between utility planners and hyperscaler project pipelines as a root cause. Utilities that fail to adjust their models risk being unable to serve contracted loads on time, potentially delaying data center operations.
Utility underestimation of load growth directly affects whether new data centers receive power on schedule, and systemic forecasting gaps could trigger broader grid reliability concerns. This finding reinforces pressure on regulators to mandate better demand transparency from both developers and utilities.
Named firm Capgemini and the specific finding of utility underestimation triggered selection. This article was distinguished from already-published items on the same Capgemini report by confirming it covers a distinct angle on utility planning gaps rather than the previously published load pressure mapping story. No similar articles covering this event were reviewed.