<a href="https://sustainability.google/operating-sustainably/net-zero-carbon/">Google</a>, <a href="https://blogs.microsoft.com/blog/2020/01/16/microsoft-will-be-carbon-negative-by-2030/">Microsoft</a> and <a href="https://sustainability.atmeta.com/climate/">Meta </a>have all pledged to reach at least net-zero carbon emissions by 2030. <a href="https://sustainability.aboutamazon.com/climate-solutions">Amazon </a>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 <a href="https://www.npr.org/people/767284140/emily-kwong">Emily Kwong</a> 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 <a href="https://www.npr.org/2025/05/07/1249592906/energy-water-ai-climate-tech">here</a>. Have a question about AI and the environment? Email us at <a href="mailto:shortwave@npr.org">shortwave@npr.org</a> — 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 <a href="http://plus.npr.org/shortwave">plus.npr.org/shortwave</a>. Learn more about sponsor message choices: <a href="https://podcastchoices.com/adchoices">podcastchoices.com/adchoices</a> <a href="https://www.npr.org/about-npr/179878450/privacy-policy">NPR Privacy Policy</a>

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