Georgetown study projects AI data centers may demand $200B investment by 2030, consuming energy equivalent to nine nuclear reactors, as industry expansion strains power grids and heightens sustainability concerns despite technological efficiency advancements.

Building leading AI data centers could cost $200 billion by 2030, requiring energy equal to nine nuclear reactors, as AI tech rapidly expands. A Georgetown study emphasizes escalating costs, power needs, and environmental impacts. Despite increased efficiency, the growth challenges power grids and raises sustainability concerns.

Source: techcrunch.com