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亚洲以人为本的AI机遇:转型框架

信息技术 2026-06-01 世界经济论坛&埃森哲 测试专用号2高级版
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Asia’s Human-ledAI Opportunity:A Framework for W H I T EP A P E R Images:Getty Images Contents Reading guide Foreword 1Asia’s AI opportunity: dynamism, reality and possibilities Endnotes 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 facilitated ©2026 World Economic Forum. All rights reserved. Nopart of this publication may be reproduced or transmittedin any form or by any means, including photocopying and Reading guide The World Economic Forum’s AI Transformation ofIndustries initiative seeks to catalyse responsibleindustry transformation across industries andsociety. It advances understanding of AI’s impacton business and society while actively accelerating operationalization, highlighting the actionsorganizations could take to move from Each paper offers a practical, executive-level viewof what transformation looks like on the ground,drawing on real-world case studies, leadingpractices and emerging data from across industries.While each paper is standalone, common themes A central pillar of the initiative is MINDS (Meaningful,Intelligent, Novel and Deployable Solutions), aprogramme that recognizes and showcasesreal-world AI deployments delivering scalable, As AI adoption accelerates, this series aimsto equip leaders with the insights, capabilitiesand decision frameworks required to build This white paper series examines the transformativerole of AI across industries, combining cross- Together, these papers offer a comprehensive viewof AI’s current development and adoption, as wellas a view of its future potential impact. Each papercan be read standalone or alongside the others, Building on last year’s foundational assessmentof AI’s state of development, strategic potentialand emerging opportunities, this year’s series Cross industry Regional specific Industry or function specific Telecommunications The Future ofAI-Enabled Health:Leading the Way Foreword Samantha ZhuSenior Managing Director andChairperson, Accenture Greater China Stephan MergenthalerManaging Director, Chief Technology Gim Huay NeoManaging Director, World only as a technology deployment challenge. Theyknow the stakes are broader: how work changes,how trust is built, how institutions adapt and howthe gains are shared. Thewhyis clear; the harder Artificial intelligence (AI) promises to be thetransformative technology of a generation. In boardrooms, it can sharpen decisions, accelerateinnovation and help leaders find new paths togrowth. On factory floors and in service operations,it can reduce friction, improve quality and make This question is especially important in Asia. Theregion’s diversity, scale and dynamism make it oneof the most important arenas in which AI’s future isbeing shaped. Different economies move at differentspeeds and from different starting points. Yet, many For governments, it offers the potential tostrengthen public services, upgrade industries and Across these settings, AI is more than a tool forefficiency; it is becoming a force that can reshapehow value is created and how societies prosper.But whether that promise is realized rests on a This report traces how human-led AI transformationis beginning to take shape across Asia, where it isgaining traction, where barriers remain and whatpractical lessons are emerging – lessons that matternot only for Asia, but for the world, proving that the Organizations, ecosystems and countriesincreasingly recognize that AI cannot be treated Executive summary As artificial intelligence (AI) capabilities evolve fromgenerative AI to agentic AI, adoption is no longerconfined to pilot projects or isolated productivityimprovements. Across the globe, AI is increasinglyembedded into core operations, workflows and by deliberate human intent – not by deployment Asia is a critical testbed for this transformation,combining industrial scale, demographic diversity,strong policy involvement and rapid real-worlddeployment. Some economies are advancingthrough broad, system-wide acceleration; others Yet wider adoption and more autonomousdeployment have not consistently translated intodurable value. This paper argues that the mainbottleneck is the widening gap between what AIsystems can do and the pace at which humansystems adapt. The more consequential question Building on the World Economic Forum reports Blueprint to Action: China’s Path to AI-PoweredIndustry TransformationandOrganizationalTransformation in the Age of AI: How OrganizationsMaximize AI’s Potential, this white paper advancesa practical framework for HLAI transformation. Itmoves beyond a narrow focus on human presence Seen this way, the human role in AI transformationis easily misunderstood. It does not mean involvinghumans in every task, nor does it rest on ageneric appeal to “human-centricity”. Human-ledAI (HLAI) tr