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世界经济论坛:2026构建具备韧性与可扩展性的 AI 价值链洞察报告:枢纽战略(英文版)(28页).pdf

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1、Building Resilient and Scalable AI Value Chains:A Nexus StrategyI N S I G H T R E P O R TM A Y 2 0 2 6Images:Getty ImagesDisclaimer This document is published by the World Economic Forum as a contribution to a project,insight area or interaction.The findings,interpretations and conclusions expressed

2、 herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the entirety of its Members,Partners or other stakeholders.2026 World Economic Forum.All rights reserved.No pa

3、rt of this publication may be reproduced or transmitted in any form or by any means,including photocopying and recording,or by any information storage and retrieval system.ContentsForewordExecutive summaryIntroduction1 AI today and the value chain forces steering its future1.1 AI infrastructure1.2 A

4、I factory and data centre operations1.3 AI applications1.4 AI transformation:A platform shift1.5 Early stage AI application growth amid infrastructure constraints1.6 AI infrastructure and access to capital2 A call to action2.1 Energy:A highly visible choke point2.2 Water:The overlooked AI growth lim

5、iter2.3 Minerals:Supply chain and geopolitical vulnerability2.4 Land:Spatial pressure on communities and ecosystems3 What key stakeholders can doConclusion-The way forwardContributorsEndnotes3457899111112151717192022232526Building Resilient and Scalable AI Value Chains:A Nexus Strategy2ForewordArtif

6、icial intelligence(AI)is reshaping businesses,communities,nations and the global landscape at a speed and scale that few anticipated.What began as a wave of high-computational exploratory deployments in late 2022 has rapidly evolved into a structural transformation touching every sector of the econo

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1. **AI基础设施激增**:2026年科技巨头AI基础设施支出预计达7000亿美元,数据中心耗电量2030年将达945TWh(德法总和),耗水量将达4.5亿加仑/天(满足500万人需求)。 2. **资源瓶颈凸显**: - **能源**:AI占2030年全球电力需求增长20%,依赖化石能源供电。 - **水**:43%数据中心位于缺水区,1兆瓦设施年耗水2550万升。 - **矿产**:铜需求2035年增30-40%,锂需求2030年增5-7倍,供应链高度集中(如70%钴来自刚果)。 - **土地**:数据中心占地100-400英亩,引发社区冲突和生态压力。 3. **系统性风险**:能源、水、矿产、土地相互依赖,孤立优化可能加剧整体压力(如高效芯片增加热密度与水需求)。 4. **行动呼吁**:需跨部门协调,推动清洁能源、循环经济及负责任矿产采购,确保AI发展与生态、社会可持续性平衡。
AI的瓶颈在哪? 资源如何制约AI? AI如何影响生态?
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