从悖论到进步：一个净正AI能源框架

I N S I G H TR E P O R T Images:Adobe Stock Contents Reading guide Foreword Executive summary 1The net-positive AI energy imperative 2The net-positive AI energy framework 2.1Design for efficiency2.2Deploy for impact 3Strategic enablers 3.1Consumer education and workforce upskilling Next steps and call to action Contributors Endnotes37 Disclaimer This document is published by theWorld Economic Forum as a contributionto a project, insight area or interaction.The findings, interpretations andconclusions expressed herein are a resultof a collaborative process facilitated and ©2025 World Economic Forum. All rightsreserved. No part of this publication maybe reproduced or transmitted in any formor by any means, including photocopying Reading guide The series aims to deepen understanding of AI’senergy implications through ongoing collaborationwith Forum partners and stakeholders shapingAI strategy and implementation. Together, thesepapers provide both a current and forward-lookingview of AI’s role in transforming energy systems, The World Economic Forum’s AIEnergy Impactinitiative aims to advance more efficient AI adoption,minimizing energy use while maximizing AI’s This report series examines AI’s transformativeenergy impact globally, offering insights throughboth broad analysis and focused regional deepdives. As AI continues to rapidly evolve, each paper The series includes: Cross industry Impact on industrial ecosystems This insight report builds upon that foundationand proposes a strategic shift, from paradox toprogress, that enables AI scaling to stay alignedwith national and corporate energy-transitionpathways. It introduces a practical framework forachieving net-positive AI energy: a future in whichthe energy and resource savings enabled by AI In January 2025, the Forum, in collaboration with itsAI and Energy Impact community and Accenture,published the first paper in the series,ArtificialIntelligence’s Energy Paradox: Balancing Challengesand Opportunities. That paper catalysed a globalconversation around AI’s dual nature, its potential Foreword James MazurekManaging Director, US Utilities;Strategy Lead, Accenture Roberto BoccaHead, Centre for Energy andMaterials; Member, Executive Cathy LiHead, AI, Data and Metaverse;Deputy Head, Centre for AIExcellence; Member, Executive Artificial intelligence (AI) is rapidly transformingeconomies and societies. However, extractingmeasurable value from AI remains a hurdle. Around74% of companies still struggle to achieve andscale AI value. Surfaced AI energy use cases showthat by embedding sustainability, businesses can can reinforce, rather than burden, energy systems,enhancing reliability, optimizing grids and otherenergy assets, reducing emissions and enabling AI’s expansion is inevitable. The challenge now isensuring that its growth remains aligned with the From optimizing supply chains and acceleratingscientific discovery to enabling smarterinfrastructure and more efficient energy systems,AI is becoming a foundational technology foreconomic competitiveness, energy security andinnovation. Yet, as its capabilities grow, so too does This paper offers a blueprint for impact-first AI thatembeds energy efficiency, responsible deploymentanddemand-side governance into AI developmentanduse. It draws on real-world insights from a Developed by the World Economic Forum’s AIEnergy Impact initiative, in collaboration withAccenture and leading experts, this frameworkis a call to action and a guide for coordinatedprogress. It reflects a growing consensus: aligningAI with energy and sustainability goals is not just a The stakes are high. Without intentional designand governance, AI-driven electricity demandcould offset some of the gains made throughthe deployment of renewable energy andincrease operational pressure on generation andtransmission systems. Left unchecked, AI could Today’s choices will shape the role AI plays inour energy future. A net-positive approach, bydesign, can ensure that AI becomes a catalystfor energy security, equitable progress and the Executive summary Achieving a net-positive AI energy outcomedemands intentional stakeholder alignmenton AI’s growth with energy efficiency, These are supported by threestrategic enablers: Artificial intelligence (AI) is reshaping industries,unlocking new efficiencies and acceleratinginnovation. Yet, its rapid growth brings risingenergy demands that risk straining infrastructure,undermining competitiveness and offsetting climategains. In some regions, rising data centre demandhas contributed to higher electricity prices forhouseholds and businesses, underscoring the Together, they form a coherent blueprint for aligningAI’s growth with energy, economic and climategoals. The framework draws on over 130 real-world use cases from more than 15 countries,showcasing how organizations are already realizing Managing AI’s energy impact is no longer afuture concern – it is a present tense innovati