Cheaper AI Models Threaten to Strain U.S. Power Grids as Usage Climbs
Two new reports from McKinsey and Boston Consulting Group (BCG) indicate that as artificial intelligence models become cheaper and more widely adopted, the demand for electricity could significantly increase, potentially straining power grids. Companies are moving beyond basic chatbot experimentation to integrate AI across more business functions. While individual AI tasks may become more energy-efficient, the overall increase in AI usage due to lower costs and broader applications is projected to drive up total power 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.
