Behind the Algorithmic Code: The Environmental Footprint of AI's Supply Chains
Oxford Internet Institute, University of Oxford · 2024-11-26
Dr. Ana Valdivia’s 18-month investigation, funded by a British Academy grant, explores the supply chains of AI in Latin America, introducing the concept of supply chain capitalism of AI to analyze the minerals, commodities, and facilities essential to AI development, while examining the political and environmental controversies surrounding data centers through a transdisciplinary approach.
Oxford Internet Institute, University of Oxford. 2024-11-26. Behind the Algorithmic Code: The Environmental Footprint of AI's Supply Chains. https://www.youtube.com/watch?v=VcXsSdXL7C0 (AI & Environment Resource Hub; record video-006; collection snapshot 2026-09-15).
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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.
youtube.com
Shared topics: Cross-cutting sustainability; 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.
ACS Publications
Shared topics: Cross-cutting sustainability; Materials and critical minerals; Built environment and infrastructure
What people see, search, and share about climate is increasingly shaped by digital platforms and AI systems whose design, algorithms, and business models prioritize engagement and profit over accuracy. This panel examines how these infrastructures influence visibility and trust, sustain mis/disinformation and greenwashing, and carry their own material footprint through rising energy and resource demands. Panelists will explore the risks and opportunities these systems create, and what they mean for democratic participation, climate communication, and effective climate action.
youtube.com
Shared topics: Cross-cutting sustainability; Materials and critical minerals; Built environment and infrastructure
With the AI revolution upon us, it’s easy to see technology and human beings on opposite sides of a spectrum. But for Duncan Griffin, director of sustainability for HDR’s Health Design Practice, technological developments only enhance the possibilities for human healing and comfort. In episode 176 of ASCE Plot Points, Griffin talks integrated sustainable design and why a holistic approach to potential outcomes is essential to infrastructure.
