Cheaper AI Models May Intensify Strain on U.S. Power Grid, Consulting Firms Warn
As Artificial Intelligence (AI) models become more affordable and accessible, their widespread adoption across businesses is projected to significantly increase electricity demand, potentially straining the U.S. power grid. Reports from McKinsey and Boston Consulting Group indicate that while individual AI tasks may become less power-intensive, the sheer volume of new applications will lead to a net increase in energy consumption. Data centers, which are crucial for AI operations, are already identified as the fastest-growing load segment in OECD power markets, with global data-center electricity demand expected to grow by 24% annually through 2030. This surge is driven by companies moving beyond experimental AI use to integrating it across more business functions, making cheaper tokens and falling prices for AI services more justifiable for higher-volume usage.
