What's The Environmental Cost Of AI?
By 2028, Lawrence Berkeley National Laboratory forecasts that U.S. data centers could use as much as 12% of the nation's electricity. The reason: generative AI. Since 2022, AI innovation by four leading tech companies — Google, Microsoft, Meta and Amazon — has led to annual increases in both energy and water consumption. So, in this episode, Short Wave co-host Emily Kwong probes huge water footprint of AI. We begin with the rise of data centers, then look at how computers came to need so much water and, finally, what tech companies are doing to try to turn the ship around.
P.S. Part 2 talks about the leading solutions in the green AI movement. So don't miss our Friday episode!
Curious about tech and the environment? Email us at [email protected] — we'd love to hear from you!
Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave
Learn more about sponsor message choices: podcastchoices.com/adchoices
NPR Privacy Policy
P.S. Part 2 talks about the leading solutions in the green AI movement. So don't miss our Friday episode!
Curious about tech and the environment? Email us at [email protected] — we'd love to hear from you!
Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave
Learn more about sponsor message choices: podcastchoices.com/adchoices
NPR Privacy Policy
You May Also Like

The Grave Talks | Haunted, Paranormal & Supernatural
Ghost Stores, Haunted, Paranormal & Supernatural Stories
The Climate Question
BBC World Service

Trent Loos Podcast
Trent Loos

Real Ghost Stories Online
Real Ghost Stories Online | Paranormal, Supernatural & Horror Radio

The 365 Days of Astronomy
365DaysOfAstronomy.org

The Best of Coast to Coast AM
iHeartPodcasts and Coast to Coast AM

MinuteEarth
Minute Earth

New Books in Law
New Books Network

New Books in Communications
Marshall Poe

Arroe Collins Forest Stories
Arroe Collins
Community discussion