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The AI-Energy Nexus: Transforming the Transition to Low-Carbon Power

DATE 31 October 2025
TIME 09:30 - 11:30 hrs
VENUE
Marina Bay Sands, Singapore
URL

Artificial Intelligence (AI) is revolutionising industries worldwide, offering transformative solutions to address one of the most pressing challenges of our time, climate change. By leveraging AI’s capabilities in data analysis, optimisation, and predictive modelling, industries can enhance energy efficiency, reduce carbon intensity, and drive sustainable innovation. The intersection of data centre growth and AI advancement has sparked serious discussions about power availability as a potential limiting factor in the growth of AI technologies. This rapid expansion has brought challenges in energy supply and management. On the other side, scalable AI infrastructure encourages innovation in designing data centres sustainably and other energy-efficient hardware designs.

This roundtable will explore the transformative role of AI in advancing cleaner energy initiatives, with a particular focus on its applications in optimising energy grids and managing the surging energy demands of AI itself. It will also address the challenges of sustainable AI implementation, including the carbon footprint of digital infrastructure and the need for robust policies to support its responsible adoption. Industry experts will delve into how AI can accelerate efforts to reduce carbon emissions, particularly in Asia, a region grappling with high energy demand, significant carbon emissions, and the increasing power needs of AI infrastructure.

  • Jonathan Goh, Director, External Relations Department, EMA
  • Prof Lee Poh Seng, Executive Director, Energy Studies Institute, NUS

Key Discussion:

  • How does the rising adoption of generative AI models impact the overall energy needs and carbon footprint of data centres?
  • What regulatory frameworks or sustainability certifications help govern responsible data centre development?
  • How can government incentives and green certifications create opportunities for innovation in energy-efficient data centre design?
  • Which technologies offer promising ways to reduce the energy intensity of data centre operations?

Key Discussion

  • How can AI optimise grid operations and energy management, particularly in integrating renewable sources and balancing demand?
  • How can AI foster innovation in energy storage and battery management to support low-emission grids?
  • How can AI improve the accuracy and efficiency of emissions tracking across supply chains?
  • What role does AI play in fostering innovation for low-carbon technologies, especially those critical for grid modernisation?

*Programme is subject to changes.

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