AI data center servers predicted to glug more power than ‘conventional servers’ by 2027
AI data centers are consuming an increasing share of global electricity resources, with power demands expected to surge significantly through 2027. According to Gartner’s latest forecast, worldwide data center electricity consumption is projected to rise from 447 terawatt-hours in 2025 to 565 terawatt-hours in 2026—representing a 26% year-over-year increase. Global data center power demand is expected to rise 27% this year alone.
The dramatic growth stems from rapid expansion of AI infrastructure as major technology companies build out data centers to support large language models and other artificial intelligence systems. This escalating power consumption poses significant challenges for electrical grids worldwide, many of which are already operating near capacity.
The situation is complicated by misleading narratives tech companies have promoted about AI’s efficiency. Many industry leaders have downplayed the technology’s environmental footprint by claiming individual AI prompts require minimal energy—equivalent to just a fraction of a cup of tea. However, these claims obscure the massive aggregate power consumption required to operate data centers at scale.
AI data center servers are predicted to consume more power than conventional servers by 2027, marking a fundamental shift in infrastructure demands. This transition will place additional stress on electrical grids already struggling to meet overall demand increases, with implications for energy policy and the long-term sustainability of AI deployment.