人工智能时代的组织变革：企业如何最大化发挥AI潜力

Organizational Transformationin the Age of AI:How OrganizationsMaximize AI’s Potential W H I T EP A P E RM A R C H2 0 2 6 Contents Reading guide3Foreword4Executive summary5Introduction6Focus 1 Real-time, individualized CX7Focus 2 Efficient and resilient operations that adapt and evolve13Focus 3 Accelerated R&D and breakthrough innovation19Focus 4 Predictive, AI-powered strategic planning25Focus 5 Data-driven, personalized talent experience and workforce planning30Key principles enabling adoption at scale within organizations36Conclusion38Contributors39Endnotes40 Disclaimer This document is published by the World Economic Forumas a contribution to a project, insight area or interaction.The findings, interpretations and conclusions expressedherein are a result of a collaborative process facilitatedand endorsed by the World Economic Forum but whoseresults do not necessarily represent the views of the WorldEconomic Forum, nor the entirety of its Members, Partnersor other stakeholders. ©2026 World Economic Forum. All rights reserved. Nopart of this publication may be reproduced or transmittedin any form or by any means, including photocopying andrecording, or by any information storage and retrieval system. Reading guide The World Economic Forum’s AI Transformationof Industries initiative seeks to catalyse responsibleindustry transformation across industries andsociety. It advances understanding of artificialintelligence’s (AI) impact on business andsociety while actively accelerating practicalimplementation through leadership convening,ecosystem collaboration and the scaling of real-world solutions. Each paper offers a practical, executive-level viewof what transformation looks like on the ground,drawing on real-world case studies, leadingpractices, emerging data from across industries andfigures of impact achievable in selected contexts.While each paper is standalone, common themesemerge: new operating models, evolving roles ofleadership, human-AI collaboration and the growingimportance of AI governance and orchestration. As AI adoption accelerates, this series aims to equipleaders with the insight, capabilities and decisionframeworks required to build competitive, responsibleand future-ready AI-enabled organizations. This white paper series examines thetransformative role of AI across industries,combining cross-industry analysis with in-depth sectoral and regional perspectives. Cross industry Regional specific Impact on regions Impact on industrial ecosystems Industry or function specific Impact on industries, sectors and functions Foreword Kathleen O’ReillyGlobal Lead, Deal Structuring& Pricing, Accenture Stephan MergenthalerManaging Director, Chief TechnologyOfficer, World Economic Forum Maria Basso Head, AI Applications andImpact, Centre for AI Excellence,World Economic Forum Artificial intelligence (AI) is entering a decisivephase. Across industries and regions, organizationsare moving beyond experimentation anddemonstrating tangible results from AI adoption.Yet as organizations unlock value from isolated AIuse cases, a deeper transformation remains elusive:embedding AI into the core processes that definehow work gets done and how decisions are madeacross enterprises. from supporting analysis to participating directlyin execution. In this environment, organizationsmust redefine the relationship between peopleand intelligent systems, ensuring that humanjudgement, responsibility and oversight remainfirmly at the centre. The World Economic Forum has long championedcollaborative approaches to complex systemicchallenges. In this spirit, the findings presentedhere are rooted in cross-industry practice andreflect the collective experience of organizationsat the forefront of AI transformation. They alsoreaffirm a central insight: success with AI isnot merely a technological achievement, butan organizational one. It depends on strategicleadership, clear accountability, trust in AI-supported decisions and operating models thatbalance human agency with machine intelligence. This paper reframes the challenge facing leaderstoday: not whether AI works, but how organizationsmust re-architect their workflows, operating modelsand decision rights to harness AI as a sourceof sustained enterprise advantage. To date, much of AI’s impact has been deliveredthrough targeted applications and functionalpilots. These efforts have proven that AIworks – but they capture only a fraction of itspotential. The greatest gains arise when AI isembedded into core workflows, decision-makingprocesses and operating models, reshapinghow organizations compete and grow. Achievingthis shift is not a primarily technological challenge,but an organizational one. This white paper is part of the World EconomicForum’sIndustries in the Intelligent Ageseries andbuilds on the insights from the AI Transformationof Industries community. We offer this paperas a resource and a call to action. Integrating AIinto how value is created a