Smaller Footprint, Bigger Impact: Building Sustainable AI for the Future
IndiaAI · 2026-02-20
This session examines how resilient and resource-efficient AI models can deliver high impact while reducing energy use, cost, and infrastructure dependence. The discussion will explore lightweight architectures, model optimization techniques, and deployment strategies suited to energy- and resource-constrained environments. It will highlight how efficient AI can expand access, support sustainability goals, and enable innovation across regions, while advancing a shared commitment to inclusive and environmentally responsible AI systems.
IndiaAI. 2026-02-20. Smaller Footprint, Bigger Impact: Building Sustainable AI for the Future. https://www.youtube.com/watch?v=hZ8Ny0MfNhA (AI & Environment Resource Hub; record video-194; collection snapshot 2026-09-15).
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Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Weather, hazards, and adaptation; Built environment and infrastructure
This course will help you understand AI's climate implications and identify practical next steps within your organization. The course begins with demystifying the connection between AI, Large Language Models (LLMs), data centers, and energy and water demand. Then you will learn about AI's environmental footprint, the related environmental and community impacts, you will evaluate real-world applications of AI across climate adaptation, energy transition, and nature conservation, and understand the business and policy landscape shaping corporate decisions.
Coursera
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Built environment and infrastructure
Artificial Intelligence (AI) has the potential to transform how water is managed. Yet, these emerging opportunities raise critical considerations around issues such as data governance, energy use, and the environmental footprint of digital infrastructure. To explore these challenges and opportunities, IWRA is launching a new webinar series: "The Promises and Challenges of AI, Data Centres & Freshwater Futures". Bringing together experts from around the world, the series examines the intersection of emerging technologies and water sustainability.
youtube.com
Shared topics: Cross-cutting sustainability; Governance and society; Energy and electricity; Built environment and infrastructure
Anne Currie is the co-author of the acclaimed O’Reilly book “Building Green Software”, a pillar of the GSF, a veteran in the Cloud Industry and also a SF novelist with her series of panopticon books. Preparing her forthcoming keynote at Green IO London, she went all the way down into the rabbit hole of AI and energy efficiency. She investigated from OpenAI to DeepSeek and open source models, what a software developer using these models can and cannot do to reduce energy consumption, and so on.
#63.b AI & Energy Efficiency: just follow the money? with Anne Currie
Shared topics: Governance and society; Energy and electricity; Weather, hazards, and adaptation; Built environment and infrastructure
We are happy to share this strategic report–AI and Climate Change: The Global South Facing the New Geopolitics of Innovation–written by Lori Regattieri and jointly launched by CIPÓ and the Green Screen Coalition. The report articulates key connections between energy infrastructures, climate justice and purported AI solutions for the “energy transition”. Their work argues for multilateral, pluriversal, and multisectoral approaches to digital infrastructure and industrial policy. The report names the violence of the “logic of expansion” and the fallacies of transition, which “simultaneously drives energy regimes and artificial intelligence systems”. Lori’s critique on the entanglement of many different social and political issues in Brazil is critical in a time where the technology industry lays the groundwork to be the saviors of COP30 in Belem, Brazil. With COP less than two months away, the report provides a powerful framing for those curious about the industrial dynamics in the region, and the ontological logic underpinning them.
