The rapid expansion of artificial intelligence is poised to dramatically inflate the expenses associated with AI data centers, according to a new report. Researchers from Georgetown, Epoch AI, and Rand project that constructing a state-of-the-art AI data center by 2030 could necessitate investments reaching a staggering $200 billion. These advanced facilities, designed to house millions of specialized processors, will require significant computational resources and energy, potentially matching the electricity usage of a large city. The report underscores the urgent need for creative strategies to mitigate the rising costs and resource requirements of AI infrastructure as the technology continues its swift development.
AI Boom Drives Data Center Costs Towards $200 Billion by 2030, Report Predicts
