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AI, Energy Demand, and the Future of Power Systems

Date 30 Oct 2026, 09:30 - 11:15 hrs
Venue Marina Bay Sands Singapore

Artificial intelligence is rapidly reshaping economies, industries, and energy systems. At the same time, the growth of AI-driven applications is increasing electricity demand, particularly from data centres and high-performance computing infrastructure. This creates new challenges for energy systems in terms of capacity planning, reliability, and grid stability.

Beyond being a source of demand, AI also offers opportunities to improve how energy systems are operated and managed. Applications in forecasting, optimisation, and real-time grid control are increasingly being explored to enhance system efficiency and resilience.

This roundtable will explore the dual role of AI in the energy sector, both as a driver of new electricity demand and as a tool that can support more stable and efficient power systems. It will also examine what is needed to enable the responsible and coordinated adoption of AI across energy systems.

Key Discussions:

  • How rising AI and data centre demand is reshaping electricity system planning and infrastructure needs
  • Challenges of integrating rapidly growing AI-related load into existing power systems
  • How AI can be used to improve grid stability, forecasting, and system optimisation
  • What is needed to support the responsible and orderly adoption of AI in the energy sector
  • Balancing innovation in AI with energy security, affordability, and infrastructure readiness
  • How energy systems can adapt to support both digital growth and system reliability
Time (GMT +8) Programme
09:30 - 09:35 hrs Welcome Remarks
09:35 - 09:40 hrs Opening Remarks
09:40 - 09:45 hrs

Keynote Address

H.E. Sakari Puisto, Minister of Economic Affairs, Republic of Finland (Invited)
09:45 - 10:30 hrs

Session 1: AI for Energy Systems: Enhancing Grid Stability and Operational Efficiency

This session will explore how AI can be applied within the energy sector to improve system performance. This includes its use in forecasting, optimisation, and real-time grid operations to support stability and efficiency in increasingly complex power systems.

The discussion will also examine what is needed to enable the safe, scalable, and coordinated adoption of AI tools in energy systems, and how to ensure they contribute meaningfully to reliability and resilience.
10:30 - 11:15 hrs

Session 2: AI as a Driver of Energy Demand

This session will examine how the rapid expansion of AI applications and data centres is reshaping electricity demand. As compute-intensive industries grow, power systems are facing new challenges in capacity planning, infrastructure development, and reliability management.

The discussion will focus on how energy systems can prepare for this new demand growth, and what it means for long-term planning, investment decisions, and system resilience.

*Programme subject to change