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

Date 31 Oct 2025, 09:30 - 11:30 hrs
Venue Level 4, Melati Ballroom, Sands Expo and Convention Centre, Singapore

CO-HOST    Energy Studies Institute

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.

Programme

09:30 - 09:35 hrs Welcome Remarks
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09:35 - 09:40 hrs Opening remarks
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09:40 - 09:50 hrs Presentation
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09:50 - 10:00 hrs Presentation
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  • Dr Naoko Doi, Senior Research Director, The Institute of Energy Economics Japan (IEEJ)
10:00 - 10:45 hrs Session 1: Scaling AI Sustainably in Asia: Opportunities and Risks
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Panel:

Sunil Yadav
Sunil Yadav

Associate Partner, Climate Change and Sustainability Services, EY Singapore
Darryll Howell
Darryll Howell

Senior Director, APAC, RED Engineering
Saji Purathepparambil Kunjappan
Saji Purathepparambil Kunjappan

Director of Infrastructure Operations for Asia Pacific, Middle East and Africa (APMEA), Amazon Web Services
Rakhi Anand
Rakhi Anand

Head of Infrastructure, Asia, SMBC
Ghazi Zouari
Ghazi Zouari

Head of Business Development APAC, BeeBryte

Moderator:

Roger Fouquet
Roger Fouquet

Principal Research Fellow, 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?

Panel:

  • Dr Naoko Doi, Senior Research Director, The Institute of Energy Economics, Japan (IEEJ)

 

10:45 – 11:30 hrs Session 2: Powering the Future: AI Integration for Smarter Grids and Sustainable Power Systems
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Panel:

Lorraine Carlos Salazar
Lorraine Carlos Salazar

Senior Knowledge Expert, McKinsey & Company
Chin Xueyong
Chin Xueyong

Senior Vice President, Project Finance, Institutional Banking Group, DBS Bank
Will Hudson
Will Hudson

Director of Energy & Sustainability Policy, APAC Corporate, External & Legal Affairs (CELA), Microsoft
Owen Chen
Owen Chen

Chief Technical Officer and Vice President, Concord New Energy Group
Abhishek Kaul
Abhishek Kaul

Associate Partner, IBM Consulting

Moderator:

Kenneth Cheng
Kenneth Cheng

Assistant News Editor, The Straits Times

Key Discussion:

  • How can AI optimise grid operations and energy management, particularly in integrating renewable sources and balancing demand?
  • How does physical digital infrastructure need to evolve to support the AI growth?
  • How can policy frameworks effectively support the development and deployment of AI in power systems?
  • What are the key challenges to AI adoption in power systems across different types of power markets?
  • How can financing models be adapted to support integrated infrastructure development for renewable energy and AI-driven energy management systems?

 

*Programme is subject to changes.