GWP's Colin Herron to speak at session - The hidden costs of AI: Unpacking its energy and water footprint

On the sidelines of the AI Action Summit in Paris, France, on 12 February, OECD and IEEE are convening a session to explore the energy and water footprint of AI, drawing on GWP’s expertise in AI and water usage.

🤝 Convenors: OECD & IEEE 
🎙️ GWP Speaker: Senior Water Resources Management Specialist, Colin Herron 
📆 Time & date: 12 February, 4:30-6:00 PM CET  
📍 Location: OECD’s Conference Centre in Paris, & online 
✍️ Sign-up for online participation: https://bit.ly/3CMXtWg

The AI Action Summit brings together heads of state and government, leaders of international organisations, business leaders, representatives from academia, and broad representation from civil society.  

About the session: AI environmental impact extends beyond energy consumption to include natural resource use—specifically, water. AI technologies, particularly those relying on large-scale data processing and cloud computing, require significant amounts of water for cooling purposes in data centres. As the demand for AI-powered services grows, so does the pressure on water resources, particularly in regions already facing water scarcity. The challenge lies in balancing the benefits of AI with the responsible management of water resources, ensuring that the technology’s potential for innovation doesn’t come at the cost of sustainability.  

 

Questions guiding the discussion: 

  • How significant is water consumption in AI-related infrastructure, especially in data centres, and how does it compare to other industries regarding resource use?
  • What are some innovative cooling technologies that can help reduce water usage in AI data centres, and how feasible are they to implement at scale?
  • How can the AI industry collaborate with local communities and governments to ensure that AI deployment doesn’t exacerbate regional water challenges?
  • What role can policymakers play in setting regulations or incentives that encourage water-efficient practices in the development and operation of AI infrastructure?
  • Are there examples where AI companies have successfully minimized their water usage, and what can others learn from these practices?  

Learn more about the full event taking place from 1:00-6:00 PM CET.

 

GWP's expertise on AI and water usage

With AI usage on the rise, AI’s water footprint is something we need to gain a profound understanding of. This concern has been raised by GWP and looked into at various occasions, hereunder: