安联：2026代码、碳、千瓦：人工智能的隐性代价与电网绿色化竞赛研究报告（英文版）（31页）.pdf

1、Allianz ResearchCode,carbon,kilowatts:AIs 30 June 2026hidden toll and the race to green the gridAllianz Research2Content Page 3-4 Executive SummaryPage 5-7 Setting the scene:Power demand growth and impact on energy investmentsPage 8-9 How well are countries prepared for green AI?Page 10-12 Sizing th

2、e footprint:data center emissions today Page 13-16 Can AI growth be decoupled from emissions?Page 18-21 The blue cost:water consumption in data centersPage 23-27 AppendixPage 17 Beyond the data center:AI as a decarbonization toolPage 22 What do we need to realize green AI?30 June 20263SummaryExecuti

3、ve Data-center investment reached USD580bn in 2025,putting AI on track to become one of the worlds fastest-growing sources of electricity demand.Installed capacity is expected to double by 2030,with AI workloads already accounting for 1520%of data-center electricity use and potentially approaching 4

4、0%by the end of the decade.Yet the sectors environmental footprint remains underestimated as most analyses focus only on operational electricity use.This analysis takes a broader systems view across 26 countries(+93%of global capacity),adding lifecycle emissions,water use and AIs growing resource de

5、mand.Identical workloads can generate up to 24 times more emissions depending on the emission intensity of the grid,making location as decisive as demand growth.Fossil-dependent grids in Indonesia,India and Malaysia exceed 600 gCO/kWh,compared with under 30 gCO/kWh in Norway and Sweden.The US and Ch

6、ina,which host the largest data-center clusters,sit in between at 384 gCO/kWh and 526 gCO/kWh,respectively,giving Europes cleaner power mix a structural advantage for low-carbon AI growth.These disparities are amplified by transmission and distribution losses of 1015%in some markets,while less relia