The energy demands of AI strain power grids worldwide

The surging energy demands of the artificial-intelligence buildout strained power grids worldwide this year, as the enormous electricity consumption of the data centres powering AI emerged as a major challenge for utilities, economies and efforts to combat climate change.

The rapid growth of AI had driven the construction of vast data centres packed with power-hungry chips, and the computing required to train and run large AI models consumed electricity on a scale that strained power systems and drove up demand in many regions.

The demand contributed to rising electricity consumption after years of relative stability, challenging utilities and grid operators to supply the needed power and raising concerns about reliability, costs, and the adequacy of generation and transmission infrastructure.

The trend posed a dilemma for efforts to address climate change, as the additional demand risked increasing reliance on fossil fuels or slowing the transition to clean energy, even as technology companies pledged to power their operations with low-carbon sources.

In response, companies and governments explored a range of solutions, from investing in renewable energy and advanced nuclear power to improving the efficiency of chips and data centres and managing demand, seeking to reconcile the growth of AI with energy and environmental constraints.

The energy challenge posed by AI underscored the material reality underlying the digital transformation, that the seemingly intangible world of artificial intelligence rested on vast physical infrastructure with substantial resource demands. As AI continued to expand, its energy appetite became a significant economic and environmental concern, forcing a reckoning with the costs as well as the benefits of the technology, and emerging as one of the defining challenges of the AI age for utilities, economies and the climate.