AI-Driven Data Centers Surge Global Electricity Demand
The International Energy Agency and other firms warn that AI workloads are driving a massive increase in global electricity demand through 2035.
The rapid expansion of AI-heavy workloads is driving a significant increase in global electricity demand, creating operational and competitive risks for companies with outdated energy strategies. The International Energy Agency expects worldwide data-center power consumption to reach approximately 945 TWh by 2030. In the United States, Deloitte projects that peak demand will climb 26% by 2035, fueled by a combination of data centers, automated factories, and electrified fleets.
This surge places unprecedented pressure on the power grid, impacting cost, reliability, and climate performance. While a KPMG report indicates that 82% of energy-sector CEOs believe AI can reduce emissions and improve energy efficiency, many of these leaders lack the governance and integrated ESG strategies required to achieve measurable progress.
Industry experts suggest that energy management must shift from a facilities-level task to a core leadership priority. To maintain resilient margins, companies are encouraged to implement AI-driven forecasting and digital twins to better manage their energy needs.