Panel. Decarbonising Data — AIs energy footprint @WithTheEconomist
Panel. Decarbonising Data — AIs energy footprint  @WithTheEconomist
Uploaded March 2026 | Updated September 2026, 2 hours ago
Artificial intelligence is voracious in its appetite for power, turning decarbonisation into a challenge that spans the entire stack. As AI infrastructure scales, progress will hinge on coordination across cloud providers, chipmakers, utilities and city authorities. That means everything from reusing waste heat from data centres and extending the working lives of GPUs, to squeezing efficiency gains from software, hardware and day-to-day operations. The question is whether such systems-level thinking can curb emissions while extracting more value from both energy and compute. 

Supported by Nebius and National Grid

Moderated by 
Vijay Vaitheeswaran, global energy and climate innovation editor, The Economist

Speakers 
Daria Mukhortova, head of sustainability, Nebius 
Varun Sivaram, chief executive, Emerald AI 
Josh Parker, head of sustainability, Nvidia
Steve Smith, president, National Grid Partners
Anuja Ratnayake, emerging technologies executive, EPRI
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Panel. Decarbonising Data — AI's energy footprint

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