Short Wave Folgen

Today, we're airing an episode of NPR's daily economics podcast, The Indicator from Planet Money. It's about a group of people we know well: scientists. President Trump's federal cuts and scrutiny of academic institutions are forcing some U.S. scientists to head for the border. On today's show, an entomologist keeping America's farms safe from pests reconsiders America. And a CEO of a Canadian hospital explains how they are benefiting from the exodus. Want to learn more about the intersection of science and the economy? Email us at shortwave@npr.org.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.Clarification: Armando Rosario-Lebrón, who was working at the Smithsonian Institution, is the Eastern region vice president of the National Association of Agriculture Employees. All NAAE union representatives are employees of the U.S. Department of Agriculture.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Google, Microsoft and Meta have all pledged to reach at least net-zero carbon emissions by 2030. Amazon set their net-zero deadline for 2040. To understand how these four tech companies could possibly meet their climate goals amid an artificial intelligence renaissance, Short Wave co-host Emily Kwong discusses the green AI movement. Speaking with scientists, CEOs and tech insiders, she explores three possible pathways: nuclear energy, small language models (SLMs) and back-to-the-future ways of keeping data centers cool. Listen to Part 1 of Short Wave's reporting on the environmental cost of AI here. Have a question about AI and the environment? Email us at shortwave@npr.org — 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/adchoicesNPR Privacy Policy

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 shortwave@npr.org — 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/shortwaveLearn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy