- cross-posted to:
- technology@beehaw.org
- cross-posted to:
- technology@beehaw.org
The leap in emissions is largely due to energy-guzzling data centers and supply chain emissions necessary to power artificial intelligence (AI) systems such as Google’s Gemini and OpenAI’s ChatGPT. The report estimated that in 2023, Google’s data centers alone account for up to 10% of global data center electricity consumption. Their data center electricity and water consumption both increased 17% between 2022 and 2023.
Google released 14.3 million metric tons of carbon dioxide just last year, 13% higher than the year before.
Climate scientists have shown concerns as Big Tech giants such as Google, Amazon and Microsoft continue to invest billons of dollars into AI.
there are almost certainly heuristics you can use, but these are going to be heuristics the size of the national US grid, with physics similar to how water flows through pipes. Except these pipes are dynamic and significantly less restrictive.
Plus source generation is very sparse, CCG gas plants for example generally only run when peaking, and solar only works during the day, generally, and nuclear power runs 24/7 around the clock, so it’s not quite trivial to calculate. More than likely what the heuristic they’re using here is that they consume 43% more power as a corpo, and thusly, produce 43% more CO2.