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AI data centers could strain global energy supply
The outlet links the AI driven data center buildout to surging demand projections that may outpace new energy capacity, while also highlighting AI uses that could improve efficiency and forecasting.
OilPrice says artificial intelligence is becoming a major driver of both higher energy demand and new approaches to cleaner power, with data center expansion supporting the rapid rollout of large language models across industries. The article argues that the buildout of data centers is pushing energy demand growth projections to levels it calls unprecedented, warning that demand could outstrip energy capacity additions and create energy security risks globally.
At the same time, OilPrice describes potential efficiency gains from AI, including improved forecasting for energy supply and demand that it says could help stabilize grids that are already under stress. It also notes researchers are using large language models to accelerate discovery of materials and methods for energy applications.
OilPrice adds that in China, scientists used large language models to identify a new molecule, lithium trifluoromethanesulfinate, described as capable of replenishing lithium ions in dead electric vehicle batteries for thousands of what it truncates in the provided text.