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Code Green: AI's environmental footprint

How AI can help power the race to Net Zero

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Language :  English
How can AI both strain resources and accelerate climate action? This Virtual Classroom gives leaders a clear, evidence-based view of AI’s footprint and its proven power to drive deep decarbonisation.
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Description
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Generative AI is often framed as a climate risk, yet it is also one of the most powerful tools for accelerating Net Zero. This session gives sustainability leaders a clear, practical understanding of how modern AI systems consume energy and water, how fast that impact is improving, and how predictive AI is already delivering measurable Scope 3 reductions. Real industrial case studies, including a 40% aerospace supply chain carbon reduction, anchor the discussion in evidence, not hype.

About the Expert

Caroline Gorski is a technology leader with over 30 years of experience driving strategy, innovation and commercial decision making at FTSE 100 board level. She brings deep expertise in artificial intelligence, data and emerging technologies, having led AI and machine learning innovation, founded industrial AI ventures, and advised fast growing deep tech businesses. As a Founding Partner at Faster Climate Impact and Co Founder of Cerestrial, Caroline focuses on harnessing AI and technology to accelerate equitable, sustainable growth and meaningful climate impact—making her a compelling voice on how climate and AI can work together to shape a more resilient future.

Evaluate the true environmental costs of GenAI, including energy, water and embodied carbon, and explain how advances in architecture, hardware and infrastructure are improving sustainability.

Apply predictive AI frameworks to analyse Scope 3 emissions across complex supply chains and support procurement decisions with auditable carbon reductions.

Develop a prioritised set of “how might we” questions to structure an AI-enabled sustainability programme in your organisation.

About the Author

Caroline Gorski