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世界经济论坛&埃森哲:2026金融业人工智能落地实操手册(英文版)(49页).pdf

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1、In collaboration withAccenture Industries in the Intelligent AgeThe AI Playbook for Financial ServicesI N S I G H T R E P O R TJ U N E 2 0 2 6Images:Getty Images,UnsplashContentsForeword 3Executive summary 4Introduction 51 The landscape today 71.1 Context and industry outlook 81.2 AI spending trends

2、 and prioritization 102 Investment and maturity of the industry 122.1 Business-driven adoption models 132.2 Aligning AI to strategy 132.3 Measuring AI value 152.4 Pilots versus scaled programmes 163 Successful AI starts with astrong foundation 173.1 The foundation and platform architecture 183.2 Ski

3、lls,hiring and culture change 193.3 Governance,risk and compliance management 203.4 Security,model risk and threat landscape 234 The role of agentic systems in unlocking valueat scale 244.1 Why agentic AI is key 254.2 HumanAI partnership 254.3 Examples of agentic AI in financial services 275 Plannin

4、g for the industrys future 325.1 Emerging technologies and cross-industry innovation 335.2 Framework for scaled and sustained AI adoption 335.3 Leadership,sponsorship and accountability 35Conclusion 36Appendices 37A1 Overview of risk framework adoption by region(non-exhaustive)37A2 Overview of AI-dr

5、iven risks and corresponding 39 risk management approaches A3 Additional reading 40Contributors 41Endnotes 47Disclaimer 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 herein are

6、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 ofits Members,Partners or other stakeholders.2026 World Economic Forum.All rights reserved.No part of this pu

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1. **AI重塑金融业**:AI正从效率提升转向结构性变革,重塑工作组织、决策方式、价值创造及竞争模式,71%全球银行客户欢迎AI助手,但82%要求审批其行动。 2. **投资与成熟度**:全球AI市场预计2028年达6310亿美元,83%金融机构增加AI投入,44%增幅超10%,聚焦优化能力、探索用例及基建。 3. **战略与价值**:需重新设计流程与架构,而非零散部署;差异化源于AI增强的客户关系;经济价值、决策有效性及风险控制是核心衡量指标。 4. **基础与治理**:需构建企业级智能平台,整合数据、模型与自动化;63%机构使用外部基础模型;需嵌入风险管理与负责任AI治理。 5. **人力与文化**:73%银行员工工作受AI影响,需技能重塑与混合 workforce;59%全球劳动力需再培训,信任与实验文化是关键。
AI如何重塑金融? 金融机构如何拥抱AI? AI如何提升客户体验?
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