Why AI is a disaster for the climate

The Guardian

Amid all the hysteria about ChatGPT and co, one thing is being missed: how energy-intensive the technology is. (...)

Given the current hysteria about AI, I thought I’d check to see where it is on the chart [of the Gartner Hype Cycle]. (...)

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Photo of battery of plugged network cables
The carbon footprint of server farms used to power generative AI could be problematic. Photograph: Bloomberg/Getty Images.

All of this serves the useful function – for the tech industry, at least – of diverting attention from the downsides of the technology that we are already experiencing: bias, inscrutability, unaccountability and its tendency to “hallucinate”, to name just four. (...) Which is worrying because its environmental impact will, at best, be significant and, at worst, could be really problematic.

How come? Basically, because AI requires staggering amounts of computing power. And since computers require electricity, and the necessary GPUs (graphics processing units) run very hot (and therefore need cooling), the technology consumes electricity at a colossal rate. (...)

So maybe the best hope for the planet would be for generative AI to topple down the slippery slope into Gartner’s “trough of disillusionment”, enabling the rest of us to get on with life.

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Tags: #artificial_intelligence #ai #chatgtp #computing #energy #energy_transition #carbon_footprint #climate #climate_change #climate_crisis #global_warming

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