7 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Microsoft's corporate sustainability hub, covering its carbon-negative, water-positive and zero-waste commitments, annual environmental sustainability reports, and progress data — relevant context for the footprint of AI data centers.
Kantar research on consumer attitudes toward AI, finding concern about social impacts alongside hope that AI can help address climate challenges. Kantar is a market research firm writing about its own survey work.
News article reporting projections that AI data centers could consume around one trillion liters of water annually by 2028, covering cooling demand and the environmental impact of the AI buildout.
A body of writing and practice on computing that lasts — repairable hardware, small software, low energy use.
Why I recommend it: The counterweight to "more compute solves everything".
A skills-based volunteer hackathon in New York City where participants collaborate with 1% for the Planet Impact Partners to solve real fundraising, storytelling, and launch challenges in 75 minutes.
Details: A great way to donate your professional skills rather than just your money. If you are between roles and want proof of impact, this is a high-signal, low-commitment option.
Professional networking group and forum connecting technology and sustainability professionals from African diaspora, African, Latino, Asian and Pacific Islander, Indigenous, Middle Eastern, and South Asian backgrounds.
Why I recommend it: Sustainability plus tech is one of the clearest growth lanes right now. Show up to a few events before you need anything.
Open-access book exploring the environmental and societal impacts of AI infrastructure — data centers, energy, labor, and the politics of large-scale computation.
From the site: Expanding Perspectives on Automation, Communication and Media
Why I recommend it: Open-access research on AI's physical footprint — great background for anyone advising on green tech, data-center careers, or responsible AI procurement.
