AI & Environment Resource HubiHeart · 2025-03-05
This episode explores the hidden environmental and geopolitical costs of AI, from rare earth mining to water-intensive data centers, highlighting the need to rethink AI sustainability beyond just carbon footprints.
iHeart. 2025-03-05. Material AI & The Mineral Supply Chain. https://www.iheart.com/podcast/269-code-green-214252417/episode/06-material-ai-the-mineral-269599755/ (AI & Environment Resource Hub; record pod-0048; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Water; Materials and critical minerals
This paper argues that AI's environmental impacts from energy consumption and water use to mineral extraction constitute a global climate justice concern that demands moving beyond efficiency metrics to center the unequal distribution of costs and benefits, particularly in the Global South.
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Water; Built environment and infrastructure
AI’s rapid growth is driving an unprecedented surge in energy and water demand, raising serious environmental justice concerns, especially in marginalized communities, while sparking debate over whether climate benefits can outweigh the harms without stronger accountability and sustainable innovation.
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Materials and critical minerals; Built environment and infrastructure
Increasing investment in artificial intelligence (AI) is prompting a larger discussion around sustainability, from the huge demand for electricity to power data centers to the life cycle emissions of hardware needed to enable this technology. Globally, companies and governments are preparing for significant increases in energy use and raw material extraction to meet demand. On the other hand, evolving technology and breakthroughs in AI optimization could lead to lower emissions than previously anticipated. Join us for a discussion about opportunities to decarbonize AI and learn how leaders in the field are navigating the uncertainty.
Shared topics: Cross-cutting sustainability; Governance and society; Climate and greenhouse gases; Materials and critical minerals; Built environment and infrastructure
This study models the integration of AI data centers and cryptocurrency mining with shared renewable infrastructure to enable climate-neutral digital operations, showing potential for significant CO₂ reductions and advocating for supportive global policy frameworks.