Anticipating Uncertainty in Data Centres Electricity Demand

Key Highlights

AI-driven data-centre demand is placing growing pressure on electricity systems across ASEAN, but the scale of its impact remains uncertain, calling for stronger energy planning and policy responses. This insight outlines four (4) key highlights of ASEAN's AI-driven data centres: 

1. Demand depends on three key levers: Future electricity use will be shaped by hardware power density, AI penetration and utilisation, and PUE.
2. Policy responses are already emerging: Global practices point to range of approaches to manage or reduce uncertainty that drives electricity demand levers from data centres.
3. Impact could emerge at both national system and local grid levels: Data centre growth could account for a significant share of national electricity consumption in the most exposed countries, while sharp load swings from AI data centres could add operational stress the grid must prepare for.
4. ASEAN can turn uncertainty into preparedness: Efficiency measures, standardised reporting, cross-sectoral planning and regional collaboration offer ways to manage the energy implications of data centre growth.