Consulting firms say that as AI gets cheaper, power demand could keep climbing (www.businessinsider.com)

Recent reports from McKinsey and Boston Consulting Group highlight a significant trend in the AI landscape: as the cost of AI technologies decreases, their integration across various business functions is expected to surge, leading to increased electricity demand. Companies are moving beyond basic applications like chatbots and adopting AI at higher volumes, driven by falling token prices. This shift poses a challenge for the electric grid, as data centers, already the fastest-growing electricity load segment in OECD markets, are projected to see a 24% annual increase in power demand through 2030. The studies reveal a complex relationship between AI utilization and energy consumption. While more companies are adopting strategies to manage token spending effectively—balancing cost management with maximizing AI use—the overall trend indicates that as AI becomes more accessible and cheaper, it will likely lead to expanded use cases. McKinsey warns that the inevitable rise in total power demand could offset the efficiency gains sought within AI applications, suggesting a potential challenge for sustainable energy consumption as businesses increasingly rely on AI technologies.