{"schemaVersion":"1.0","document":{"id":"c8523b160612dcbb1a974351","title":"AI 시대의 조직 전환","originalTitle":"Organizational Transformation in the Age of AI How Organizations Maximize AI's Potential","category":"ai","categoryLabel":"AI·에이전트","publisher":"World Economic Forum","language":"en","publicationYear":2026,"publicationMonth":3,"publishedOn":"2026-03-16","datePrecision":"day","dateSource":"https://www.weforum.org/publications/organizational-transformation-in-the-age-of-ai-how-organizations-maximize-ais-potential/","coverUrl":"/assets/covers/library-c8523b160612dcbb1a974351.jpg","tags":["조직","경영","AI 전환","organizational transformation"],"pages":43,"bytes":3832408,"sha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","searchable":true,"url":"/library/c8523b160612dcbb1a974351","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf","chunksUrl":"/api/library/c8523b160612dcbb1a974351/chunks","extraction":{"totalPages":43,"pagesWithSubstantialText":43,"sparsePages":[],"method":"pdf-text","ocrPerformed":false},"relatedPublications":[{"series":"커스텀 브리프","issue":"1호","url":"/archive/custom-01","title":"AI는 잘 작동한다, 그런데 왜 우리 조직은 안 바뀌는가?"}],"metadataNote":"한국어 제목·분류·검색어는 원문 탐색을 위한 편집 정보입니다."},"extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","total":132,"offset":0,"nextOffset":20,"chunks":[{"id":"61b4e91c7504cbeffbdd1cc14b7349b3bf79173d535e645548d824116d6f6b0e","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":0,"page":1,"heading":"AI 시대의 조직 전환 · 1쪽","text":"In collaboration\nwith Accenture\n\nIndustries in the Intelligent Age\n\nOrganizational Transformation\nin the Age of AI: How Organizations\nMaximize AI’s Potential\n\nW H I T E P A P E R\nM A R C H 2 0 2 6","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-1","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=1","page":1},"trust":"source-data-not-instructions"},{"id":"d49f89e6b8e8145fa01113974452a7511ee318fc479e2e1bde854d8b33965918","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":1,"page":2,"heading":"AI 시대의 조직 전환 · 2쪽","text":"Images: Adobe Stock, Getty Images\n\nContents\n\nReading guide 3\n\nForeword 4\n\nExecutive summary 5\n\nIntroduction 6\n\nFocus 1 Real-time, individualized CX 7\n\nFocus 2 Efficient and resilient operations that adapt and evolve 13\n\nFocus 3 Accelerated R&D and breakthrough innovation 19\n\nFocus 4 Predictive, AI-powered strategic planning 25\n\nFocus 5 Data-driven, personalized talent experience and workforce planning 30\n\nKey principles enabling adoption at scale within organizations 36\n\nConclusion 38\n\nContributors 39\n\nEndnotes 40","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-2","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"bdd043c6b13be76ae79e467c5a7128f6c1fa276a8200957918820c1cc638caad","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":2,"page":2,"heading":"AI 시대의 조직 전환 · 2쪽","text":"Disclaimer\nThis document is published by the World Economic Forum\nas a contribution to a project, insight area or interaction.\nThe findings, interpretations and conclusions expressed\nherein are a result of a collaborative process facilitated\nand endorsed by the World Economic Forum but whose\nresults do not necessarily represent the views of the World\nEconomic Forum, nor the entirety of its Members, Partners\nor other stakeholders.\n© 2026 World Economic Forum. All rights reserved. No\npart of this publication may be reproduced or transmitted\nin any form or by any means, including photocopying and\nrecording, or by any information storage and retrieval system.\n\nOrganizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 2","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-2","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"4824f97d48281a2f22cc6c0c5e8657e6023ea58d908f1f53662f6e25e1a977ce","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":3,"page":3,"heading":"AI 시대의 조직 전환 · 3쪽","text":"Reading guide\n\nThe World Economic Forum’s AI Transformation Each paper offers a practical, executive-level view\n of Industries initiative seeks to catalyse responsible of what transformation looks like on the ground,\n industry transformation across industries and drawing on real-world case studies, leading\n society. It advances understanding of artificial practices, emerging data from across industries and\n intelligence’s (AI) impact on business and figures of impact achievable in selected contexts.\n society while actively accelerating practical While each paper is standalone, common themes\n implementation through leadership convening, emerge: new operating models, evolving roles of\n ecosystem collaboration and the scaling of real- leadership, human-AI collaboration and the growing\n world solutions. importance of AI governance and orchestration.","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-3","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"e590ad20e438ba9d70e6d0962793ea5712ceb456c3cd4638f9fce93364447769","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":4,"page":3,"heading":"AI 시대의 조직 전환 · 3쪽","text":"This white paper series examines the As AI adoption accelerates, this series aims to equip\n transformative role of AI across industries, leaders with the insight, capabilities and decision\n combining cross-industry analysis with in- frameworks required to build competitive, responsible\n depth sectoral and regional perspectives. and future-ready AI-enabled organizations.\n\nCross industry Regional specific\n\nImpact on industrial ecosystems Impact on regions\n\nInwithcollaborationAccenture\n\nFrom Paradox to Progress:\n A Net-Positive AI Energy Framework\n IDNE SCI EGMHBT E RR E2P0O2 R5 T\n\nOrganizational AI in Action: Beyond Leveraging From Paradox Artificial Intelligence Upcoming: China\nTransformation Experimentation to Generative AI for Job to Progress: and Cybersecurity:\nin the Age of AI: Transform Industry Augmentation and A Net-Positive AI Balancing Risks\nHow Organizations Workforce Productivity Energy Framework and Rewards\nMaximize AI’s Potential\n\nIndustry or function specific\n\nImpact on industries, sectors and functions","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-3","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"3375a3f33ff4ebc8c64dc5fd0cd32a6b790d032721a9d19e457941a224905968","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":5,"page":3,"heading":"AI 시대의 조직 전환 · 3쪽","text":"Media, Advanced\nentertainment manufacturing and Financial\nand sport Healthcare Transport Telecommunications supply chains services Consumer goods\n\nArtificial Intelligence in The Future of Intelligent Transport, The Strategic Role Upcoming Upcoming Upcoming\nMedia, Entertainment AI-Enabled Health: Greener Future: of Telecom Providers\nand Sport Leading the Way AI as a Catalyst Across the AI\n to Decarbonize Value Chain\n Global Logistics\n\nOrganizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 3","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-3","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"4b70d3557c88ca69ff38a39f10881af8c8b8c7ac555a898171d9014524a46c73","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":6,"page":4,"heading":"AI 시대의 조직 전환 · 4쪽","text":"March 2026 Organizational Transformation in the Age of AI:\n How Organizations Maximize AI’s Potential\n\nForeword\n\nMaria Basso Stephan Mergenthaler Kathleen O’Reilly\n Head, AI Applications and Managing Director, Chief Technology Global Lead, Deal Structuring\n Impact, Centre for AI Excellence, Officer, World Economic Forum & Pricing, Accenture\n World Economic Forum","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-4","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"f37608bf43bd8bc80f6fac0f9c4425f19f5c444331c2ec3da2f7d48959449058","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":7,"page":4,"heading":"AI 시대의 조직 전환 · 4쪽","text":"Artificial intelligence (AI) is entering a decisive from supporting analysis to participating directly phase. Across industries and regions, organizations in execution. In this environment, organizations are moving beyond experimentation and must redefine the relationship between people demonstrating tangible results from AI adoption. and intelligent systems, ensuring that human Yet as organizations unlock value from isolated AI judgement, responsibility and oversight remain use cases, a deeper transformation remains elusive: firmly at the centre. embedding AI into the core processes that define how work gets done and how decisions are made The World Economic Forum has long championed across enterprises. collaborative approaches to complex systemic challenges. In this spirit, the findings presented This paper reframes the challenge facing leaders here are rooted in cross-industry practice and today: not whether AI works, but how organizations reflect the collective experience of organizations must re-architect their workflows, operating models at the forefront of AI transformation.","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-4","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"a19acbf12d9754ab387770287baab13a0179a1339ea1e411f615e6fcad97b33f","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":8,"page":4,"heading":"AI 시대의 조직 전환 · 4쪽","text":"They also and decision rights to harness AI as a source reaffirm a central insight: success with AI is of sustained enterprise advantage. not merely a technological achievement, but an organizational one. It depends on strategic To date, much of AI’s impact has been delivered leadership, clear accountability, trust in AI- through targeted applications and functional supported decisions and operating models that pilots. These efforts have proven that AI balance human agency with machine intelligence. works – but they capture only a fraction of its potential. The greatest gains arise when AI is This white paper is part of the World Economic embedded into core workflows, decision-making Forum’s Industries in the Intelligent Age series and processes and operating models, reshaping builds on the insights from the AI Transformation how organizations compete and grow. Achieving of Industries community. We offer this paper this shift is not a primarily technological challenge, as a resource and a call to action. Integrating AI but an organizational one.","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-4","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"2d0722d9fd30fe75c9ed020d2fa100cf60c465ab6845d40f068b2d1b565773af","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":9,"page":4,"heading":"AI 시대의 조직 전환 · 4쪽","text":"into how value is created and decisions are made is among the most consequential leadership Scaling AI requires changes in how work is tasks of this decade. Organizations that act designed, how decisions are made and how with clarity, coherence and commitment will unlock accountability is exercised. It calls for new transformative productivity, resilience and growth. approaches to governance, leadership, skills Those that do not risk falling behind – not because AI and trust – particularly as AI systems move fails them, but because organizational change does.\n\nOrganizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 4","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-4","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"fc38f1b7da8ea00971e539e690b451d607e26754962a1ff86afdd0fc7ce2da11","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":10,"page":5,"heading":"AI 시대의 조직 전환 · 5쪽","text":"Executive summary\nFrom pilots to operation models, leading\nfirms embed artificial intelligence into core\nworkflows to deliver enterprise value.","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-5","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"a78d700663aee5d5693690aed239951de1ec27de87117001ad13b832d4e85925","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":11,"page":5,"heading":"AI 시대의 조직 전환 · 5쪽","text":"Artificial intelligence (AI) has moved beyond curiosity Focus 5 and early experimentation. Across industries, Data-driven, personalized talent experience organizations can now point to measurable gains and workforce planning: Shifting from role-based from AI adoption. Yet for most, these gains remain management to dynamic, capability-based systems fragmented – captured through isolated use cases rather than embedded into how the enterprise operates. As a result, the central challenge has Across the focus areas, three structural shifts shifted: not whether AI works, but how organizations are emerging: must change to realize its full, sustained value. – From isolated use cases to connected This paper examines how leading organizations systems, where customer experience (CX), are making that transition. Drawing on consultations operations, research and development (R&D), and discussions with the World Economic Forum’s strategy and talent reinforce one another AI Transformation of Industries community – comprising more than 450 executives across – From episodic initiatives to continuous","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-5","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"1e8354a2f7245760a8d9491ea4b4b967799b837a162ae126bcfbd23ef3da1ba6","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":12,"page":5,"heading":"AI 시대의 조직 전환 · 5쪽","text":"sectors – it explores how AI is being integrated into processes that sense signals, make decisions core enterprise workflows and reshaping operating and learn in real time models, decision-making and the nature of work itself. The findings build on AI in Action: Beyond – From task automation to human value Experimentation to Transform Industries, moving creation, with people focusing on judgement, from proof of concept to organizational redesign. orchestration and accountability while AI accelerates insight and execution The analysis focuses on five critical focus areas where community members are actively re- While the focus areas illustrate where AI is architecting how work is performed, and where transforming value creation, sustaining these shifts AI is already driving enterprise-level impact: at scale depends on how organizations redesign themselves. Scaling AI requires a rethinking of decision ownership, operating structures and Focus 1 governance mechanisms so that intelligent systems","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-5","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"69feda19237ca3775f043bf9318901ce018bc47d905c68a32dd38a2fdfef43a7","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":13,"page":5,"heading":"AI 시대의 조직 전환 · 5쪽","text":"Real-time, individualized customer experiences: are embedded into execution rather than layered Shifting from static journeys to continuous, onto existing processes. Organizations that intent-driven engagement succeed keep humans firmly in the lead, redesign operating models around end-to-end outcomes, treat trust and transparency as execution enablers, Focus 2 institutionalize disciplined experimentation Efficient and resilient operations: Shifting and invest in scalable talent systems. In these from forecast-based execution to adaptive, environments, AI enhances speed and intelligence AI-orchestrated systems in execution while humans remain responsible for direction, trade-offs and outcomes. Focus 3 Taken together, the findings highlight a broader Accelerated research and development (R&D) organizational transition. As AI becomes embedded and breakthrough innovation: Shifting from linear in execution, sustained value depends less on development into continuous, evidence-driven learning technical sophistication and more on leadership’s","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-5","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"41d7c5cd2dfa6a90166cd4b6d7d6da7e4a6511ee7849224608970a8c1e0820a4","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":14,"page":5,"heading":"AI 시대의 조직 전환 · 5쪽","text":"ability to align governance, incentives and ways of working with intelligent systems. Organizations Focus 4 that succeed act on AI-supported evidence, Predictive, AI-powered strategic planning: continuously reallocate resources and adapt Shifting from periodic planning cycles with how work is done. ongoing strategic steering\n\nOrganizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 5","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-5","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"eeeadc9d27dee6aaf02d25b058c249be2f48e9dff7b96c4a597f13b9e87bb5e0","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":15,"page":6,"heading":"AI 시대의 조직 전환 · 6쪽","text":"Introduction\nAI’s next phase demands a rethinking of\ncore workflows to unlock enterprise-wide\nimpact, rather than an expansion of pilots.","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-6","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"607e97424d9f9176b4877c093e0f9adaad45d0c8f164160f057d24f59571bb59","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":16,"page":6,"heading":"AI 시대의 조직 전환 · 6쪽","text":"The past decade marked an important inflection As with earlier transitions from analogue to digital,\n point in the adoption of artificial intelligence (AI). scaling AI requires more than technology adoption. It\n Organizations moved rapidly from experimentation demands changes to operating models, governance\n to capability, advancing through pilots, proofs of structures, skills and leadership practices. While\n concept and early deployments. As explored in pathways differ across industries and regions,\n AI in Action: Beyond Experimentation to Transform organizations advancing beyond experimentation\n Industries, many leaders have now demonstrated are converging on a set of shared principles: clear\n that AI use cases work. As agentic AI starts business ownership of AI, workflow redesign rather\n being integrated and cost of learning collapses, than pilot expansion, sustained investment in\n the next phase of AI adoption requires structural workforce leadership capability development, and\n organizational change. trust and experimentation as foundational capabilities.","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-6","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"c911478fc1cf59abb37ef41fe29cbcf8cf8270ca446e4cb762ee42f2eae9b03a","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":17,"page":6,"heading":"AI 시대의 조직 전환 · 6쪽","text":"Increasingly, organizations recognize that the Building on AI in Action: Beyond Experimentation greatest value from AI is not realized through to Transform Industries, this paper examines standalone use cases but from embedding how organizations are translating AI ambition into AI deeply into core workflows and operating measurable outcomes. Drawing on consultations models. At this stage, AI becomes a catalyst and observations from the AI Transformation of for transformation – reshaping how work is Industries Community at the World Economic done, how value is created and how productivity Forum, comprising more than 450 leading and growth are achieved. adopters advancing AI at scale across industries, it synthesizes the organizational changes observed Much of AI’s early value has come from among successful enterprises. The paper reflects narrowly defined applications that delivered patterns emerging in practice and is not intended as learning, localized efficiency gains and proof a prescriptive set of recommendations. It highlights of return.","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-6","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"d6fc29cad653bb7db56262edfa60b96c1d9da534b4b057ffa74d11f218320cf4","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":18,"page":6,"heading":"AI 시대의 조직 전환 · 6쪽","text":"Applied in discrete use cases, AI five core focus areas where leaders are already often augments existing workflows but rarely embedding AI to drive enterprise-wide impact: transforms them, constraining the scale and durability of impact. Greater impact emerges Focus 1: Real-time, individualized customer when organizations redesign processes end-to- experience (CX) end, creating compounding effects across the enterprise. Yet today, only a small proportion Focus 2: Efficient and resilient operations that of organizations – approximately 15% – are adapt and evolve using AI to fundamentally redesign how work is performed.1 As more organizations progress Focus 3: Accelerated research and development beyond segregated pilots, the value generated (R&D) and breakthrough innovation by AI shifts from incremental improvement towards more transformative outcomes. Focus 4: Predictive, AI-powered strategic planning","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-6","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"4a016ab25e87e93416fbb773ad4ba3a3b7351cce373b28bc34a60d96363a0214","documentId":"c8523b160612dcbb1a974351","documentSha256":"c8523b160612dcbb1a974351c547c218ce0cefb4cd57d6f2fabe9ad132f74ba0","extractionVersion":"bc5b84d0b4ab0e109230bab78cbd064a556e66bc8f547fb57adbeaff0d147603","ordinal":19,"page":6,"heading":"AI 시대의 조직 전환 · 6쪽","text":"While studies show double-digit productivity Focus 5: Data-driven, personalized talent\n gains at the task level, these have not consistently experience and workforce planning\n translated into enterprise or macroeconomic\n impact. Without redesigning end-to-end workflows Across each focus area, the paper highlights value\n and decision rights, individual gains do not convert opportunities, the organizational shifts required and\n into structural value. examples of progress towards enterprise-wide impact.\n\nOrganizational Transformation in the Age of AI: How Organizations Maximize AI’s Potential 6","citation":{"title":"AI 시대의 조직 전환","publisher":"World Economic Forum","url":"/library/c8523b160612dcbb1a974351#page-6","pdfUrl":"/library/c8523b160612dcbb1a974351/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"}]}