{"schemaVersion":"1.0","document":{"id":"497d19dfba4bfb1a81734527","title":"실제 AI 도입에서 얻은 교훈","originalTitle":"Proof over Promise Insights on Real World AI Adoption from 2025 MINDS Organizations","category":"ai","categoryLabel":"AI·에이전트","publisher":"World Economic Forum","language":"en","publicationYear":2026,"publicationMonth":1,"publishedOn":"2026-01-19","datePrecision":"day","dateSource":"https://www.weforum.org/publications/proof-over-promise-insights-on-real-world-ai-adoption-from-2025-minds-organizations/","coverUrl":"/assets/covers/library-497d19dfba4bfb1a81734527.jpg","tags":["AI 도입","사례","성과","MINDS","AI adoption"],"pages":29,"bytes":1546710,"sha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","searchable":true,"url":"/library/497d19dfba4bfb1a81734527","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf","chunksUrl":"/api/library/497d19dfba4bfb1a81734527/chunks","extraction":{"totalPages":29,"pagesWithSubstantialText":29,"sparsePages":[],"method":"pdf-text","ocrPerformed":false},"relatedPublications":[{"series":"커스텀 브리프","issue":"4호","url":"/archive/custom-04","title":"도입은 끝났다, 이제 출근시켜라"}],"metadataNote":"한국어 제목·분류·검색어는 원문 탐색을 위한 편집 정보입니다."},"extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","total":102,"offset":0,"nextOffset":20,"chunks":[{"id":"13e8738dabb5cb94d356b0de38f53f6e2d3df669c807366fedcf552bb7293f80","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":0,"page":1,"heading":"실제 AI 도입에서 얻은 교훈 · 1쪽","text":"In collaboration\nwith Accenture\n\nProof over Promise:\nInsights on Real-World AI Adoption\nfrom 2025 MINDS Organizations\n\nW H I T E P A P E R\nJ A N U A R Y 2 0 2 6","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-1","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=1","page":1},"trust":"source-data-not-instructions"},{"id":"a4a18d35819b983d2d80158c5cd864424c15157c459f1de7d011163ec4ecf5c2","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":1,"page":2,"heading":"실제 AI 도입에서 얻은 교훈 · 2쪽","text":"Images: Adobe Stock\n\nContents\n\nForeword 3\n\nExecutive summary 4\n\n1 Advancing meaningful AI adoption through the MINDS programme 5\n\n1.1 Overview of the MINDS programme 5\n\n1.2 A global landscape of AI adoption: diversity across regions, 6\n industries and scales\n\n1.3 Selected cohort of organizations for the 2025 MINDS programme 7\n\n2 Key insights from MINDS organizations 12\n\n2.1 Insight 1: Harnessing AI as a core part of how organizations work 12\n\n2.2 Insight 2: Amplifying strengths when humans\n and AI work together within a changing workforce 14\n\n2.3 Insight 3: Strengthening data foundations and augmented 17\n data sources to advance impact and scale\n\n2.4 Insight 4: Modernizing the technology stack for advanced 20\n AI capabilities\n\n2.5 Insight 5: Scaling AI with confidence through responsible 23\n AI practices\n\n2.6 Amplifying impact through the interplay of key insights 24\n\nConclusion 25\n\nContributors 26\n\nEndnotes 28","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-2","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"e8acef832d0927d5a2923cf42e09216dbf03ce0a32494d2431a32d561a0efa8e","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":2,"page":2,"heading":"실제 AI 도입에서 얻은 교훈 · 2쪽","text":"Disclaimer\nThis document is published by the\nWorld Economic Forum as a contribution\nto a project, insight area or interaction.\nThe findings, interpretations and\nconclusions expressed herein are a result\nof a collaborative process facilitated and\nendorsed by the World Economic Forum\nbut whose results do not necessarily\nrepresent the views of the World Economic\nForum, nor the entirety of its Members,\nPartners or other stakeholders.\n© 2026 World Economic Forum. All rights\nreserved. No part of this publication may\nbe reproduced or transmitted in any form\nor by any means, including photocopying\nand recording, or by any information\nstorage and retrieval system.\n\nProof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations 2","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-2","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"e91c50c7ebd1a64c0e2be7f76fc20598971bd22117d411c525696a39d055ec2a","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":3,"page":3,"heading":"실제 AI 도입에서 얻은 교훈 · 3쪽","text":"January 2026 Proof over Promise:\n Insights on Real-World AI Adoption\n from 2025 MINDS Organizations\n\nForeword\n\nMuqsit Ashraf Maria Basso Stephan Mergenthaler\n Group Chief Executive, Head, AI Applications and Impact, Managing Director, Chief Technology\n Strategy, Accenture World Economic Forum Officer, World Economic Forum","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-3","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"c640c17ecf74d789fb641a54f52d541dbaa7044ed5c260333584a80369471876","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":4,"page":3,"heading":"실제 AI 도입에서 얻은 교훈 · 3쪽","text":"Globally, organizations across all sectors have The World Economic Forum, as part of its AI Global pursued ambitious efforts to capitalize on the Alliance, created the MINDS (Meaningful, Intelligent, potential of artificial intelligence (AI). They are Novel, Deployable Solutions) programme to help exploring applications with a wide range of AI leaders unlock the full value of AI for businesses technologies – from machine learning (ML) and and society. Through an ever-growing network of deep learning to large language models, complex organizations contributing their experiences, MINDS agentic systems and more. They have big goals; is building a shared foundation of knowledge to from generative AI alone, organizations expect, help organizations deploy AI responsibly, inclusively on average, double-digit percentage increases in and at scale. productivity and revenue growth within 18 months of deployment and scaling, and a similar reduction This inaugural MINDS white paper draws on in costs.1 At its core, AI in the broadest context is insights from hundreds of organizations that opened","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-3","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"bdb8936718be6a3200008d212e8dd38ce4a5977863c7e628d32e11675a87a881","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":5,"page":3,"heading":"실제 AI 도입에서 얻은 교훈 · 3쪽","text":"seen as a lever to create additional value. their doors to share their AI journeys, metrics, challenges and lessons learned. Beyond celebrating As we have seen, not every pilot or early-stage their achievements, it recognizes their openness in programme is succeeding as hoped. Amid the advancing collective progress. push for rapid adoption, challenges such as data readiness, legacy infrastructure, fragmented The organizations in our first cohorts embody a governance and insufficient workforce training shift from experimentation to execution, and from have left many organizations struggling to advance promise to performance. Their success does not beyond initial AI experiments.2 Capturing and sharing hinge on technology or large budgets alone, but on insights from organizations that are beginning to the art of identifying the right problems, building the achieve those ambitions and demonstrate real value right capabilities and creating the right conditions is a critical next step to propel the larger ecosystem for AI to deliver sustained value. forward.","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-3","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"aaf1f26e3278a618ee139254c58f3d51e32d94b510e0937b46033508e40f4883","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":6,"page":3,"heading":"실제 AI 도입에서 얻은 교훈 · 3쪽","text":"Rather than restricting progress to what each organization can figure out on their own, the real opportunity lies in collective learning. Harnessing the experiences of successful adopters helps others to accelerate their own journey to impact.\n\nProof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations 3","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-3","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"4ea76732c4f50f6d5b72d1388a27536bc3332ba224d19ac5a71c58c31979c5f1","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":7,"page":4,"heading":"실제 AI 도입에서 얻은 교훈 · 4쪽","text":"Executive summary\nArtificial intelligence is delivering real-world\nresults, with impact, scale and trust now\ndriving value.","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-4","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"c6fb87cc5f52c0156fc6afff7f20432beb216d3b471d9fb370b876962c50e77a","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":8,"page":4,"heading":"실제 AI 도입에서 얻은 교훈 · 4쪽","text":"After years of bold investments and high 3 Insight 3: Strengthening data foundations expectations, the conversation around artificial and strategic data sources to advance impact intelligence (AI) has shifted decisively from potential and scale to performance. Today, business leaders are demanding clear evidence of how AI delivers Data quality is the biggest barrier to AI success, measurable value and impact while setting the so organizations are harnessing various data stage for the next wave of enterprise innovation. advantages and pursuing differentiated data strategies essential for scaling AI impact. To address this, MINDS (Meaningful, Intelligent, Novel, Deployable Solutions) serves as a global showcase of impactful AI applications and enables 4 Insight 4: Modernizing the technology stack knowledge exchange of AI-driven transformations for advanced AI capabilities across industries, geographies and societies. Organizations are moving beyond fragmented Drawing on insights from hundreds of applicants solutions and investing in unified AI platforms","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-4","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"f633ed70cd6254df09ae78f599d1bc10fb479d75886f1afc6f9300c9e72180df","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":9,"page":4,"heading":"실제 AI 도입에서 얻은 교훈 · 4쪽","text":"and in-depth interviews with the selected 2025 and strategic engineering capabilities that enable MINDS cohorts, this report distils five key insights secure, agile and scalable adoption of AI. that enable successful AI adoption and scaling:\n\n1 Insight 1: Harnessing AI as a core part 5 Insight 5: Scaling AI with confidence through\n of how organizations work responsible AI practices\n\nOrganizations are embedding AI as a strategic Confident AI adoption requires trustworthy systems,\n enterprise-wide capability, shifting from tactical prompting organizations to embed technical\n use to a reimagining of core processes and controls and right-size human oversight for\n long-term purpose. automated decision-making.","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-4","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"bc0a75efb33e39aebe7b754fd6925a6a86e01aa5d63846d53b0f335a035eaf5a","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":10,"page":4,"heading":"실제 AI 도입에서 얻은 교훈 · 4쪽","text":"2 Insight 2: Amplifying strengths when humans These insights are not standalone; their interplay\n and AI work together within a changing amplifies impact. Organizations that address\n workforce multiple dimensions – strategy, workforce, data,\n technology and governance – achieve measurable\n Successful AI adoption starts with people and and scalable results. Conversely, those focusing\n organizations redesigning work to augment human narrowly on technology or short-term return on\n expertise with AI, amplifying specialized capabilities investment (ROI) consistently struggle to scale AI.\n and innovation through collaboration.\n By learning from the experiences of MINDS cohort\n members, organizations can accelerate their\n journey to impactful AI adoption, avoid common\n pitfalls and build resilient strategies for the future.\n\nProof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations 4","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-4","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"ad9de1c84cf129336fc4d3dfdfd9852e764bd7aea8eece14e7dca6d47acf8cc1","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":11,"page":5,"heading":"실제 AI 도입에서 얻은 교훈 · 5쪽","text":"1 Advancing meaningful\n AI adoption through the\n MINDS programme\n MINDS organizations are turning AI ambitions\n into impactful, measurable and sustainable\n outcomes for businesses and society.\n\nArtificial intelligence (AI) is rapidly emerging as a Recognizing the importance of turning promise into\n transformative force, unlocking new possibilities practice, the World Economic Forum established\n across industries and societies. Yet, as MINDS (Meaningful, Intelligent, Novel, Deployable\n organizations seek to harness these technologies, Solutions) as a flagship programme under the AI\n many encounter the deeper challenge of translating Global Alliance to help leaders unlock the full value\n ambition into sustainable, real-world impact. of AI for businesses and society.\n\n1.1 Overview of the MINDS programme","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-5","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"f6aef3ef4869e5cdb7dafceae10236501221d7a1f117f8d7f9e1b2e7f6bcd3c7","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":12,"page":5,"heading":"실제 AI 도입에서 얻은 교훈 · 5쪽","text":"MINDS aims to spotlight the most effective – Novelty: Introduction of novel, AI-driven examples of applied AI and to connect leaders, solutions to persistent challenges allowing them to share practical insights on solutions already delivering impact. Going beyond – Responsibility: Compliance with local a sole focus on traditional return on investment regulations and embedding of responsible (ROI) metrics of economic performance, MINDS practices throughout the design and champions AI solutions that also address systemic implementation of AI solutions social challenges – from climate resilience and equitable healthcare to sustainable supply chains Following in-depth interviews by the MINDS – ensuring that AI innovation can advance both programme team and the Impact Council – a business values and societal progress. strategic advisory group, composed of AI experts from academia and the private sector, representing Open to organizations of any size, sector or the full spectrum of AI expertise from AI models to","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-5","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"ecc38d4ca552f5d8d4cb0d13b3f0f6d5dd6a5ccc859bcc7ce87717b7647a1425","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":13,"page":5,"heading":"실제 AI 도입에서 얻은 교훈 · 5쪽","text":"geography, MINDS recognizes the diverse social and economic impact – selected outstanding organizations behind transformative AI applications examples of AI applications. The 2025 cohorts to enable meaningful knowledge exchange. represent a diverse range of organizations that Recognizing demonstrate how AI can be responsibly deployed the importance of Evaluation process to achieve real-world results. turning promise into practice, the The AI Global Alliance community developed a The MINDS applicant pool reflects a self-selected comprehensive evaluation framework to assess group of organizations enthusiastic about sharingWorld Economic applications from organizations worldwide. The how they are using AI to drive impact. The insights Forum established framework is built on three pillars: gathered in this report are not intended as a MINDS to help representative survey of the broader industrial leaders unlock – Impact: Demonstration of ability to deliver transformations taking place with AI, but as a","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-5","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"53c8f101d41ff1ee41f70908a189063f784fd94243d718d5be524f04ddfbf3da","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":14,"page":5,"heading":"실제 AI 도입에서 얻은 교훈 · 5쪽","text":"the full value of measurable outcomes across economic, showcase of select organizations helping to create AI for businesses environmental and social impact, while also guideposts for innovation. and society. considering scalability potential\n\nProof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations 5","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-5","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"79082e62e8fabe90fc3f0b8bbe40d6f67d70a8bfee65cc412468034fe039f1f1","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":15,"page":6,"heading":"실제 AI 도입에서 얻은 교훈 · 6쪽","text":"1.2 A global landscape of AI adoption:\n diversity across regions, industries and scales\n\nIn its inaugural year, the MINDS programme received Industry breadth and depth:\n hundreds of applications, each demonstrating\n tangible evidence of how AI-enabled transformation – Robust participation came from diverse\n delivers value. industries (see Figure 1) – such as energy and\n utilities, health and life sciences, and banking\n Global reach: and financial services.\n\n– Applications included multinational and cross- – Information technology accounted for nearly\n sector collaborations, underscoring AI’s role as one-third of submissions, thereby providing a\n a shared global priority. strong foundation of technical expertise.\n\n– Over 30 countries were represented in the\n applicant pool, spanning every major region.\n\nF I G U R E 1 Applicants to the MINDS programme by industry (percentage of total)\n\n9% Automotive and new mobility 6% Financial services","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic 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Broad spectrum of AI applications within\n business functions\n – Collectively, the cohort illustrates that impactful\n AI adoption is achievable for organizations – Broad adoption underscores the fact that AI has\n of any size, whether through independent become a cross-functional enabler, transforming\n innovation or collaborative partnerships. both front- and back-office domains.","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-6","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"c23d9d4b1e1179cc8484fdc14c99dae885eba1539f955d25a08bc2bfc9a6a90e","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":17,"page":6,"heading":"실제 AI 도입에서 얻은 교훈 · 6쪽","text":"– Over 50% of applicants were small and – Operations emerged as the most common\n mid-sized organizations (1–500 employees), application area, reflecting AI’s maturity in\n demonstrating that innovation is not confined optimizing processes, improving efficiency and\n to scale. enhancing resilience.\n\n– Approximately one-third were large multinational – Strong adoption was also seen across research\n enterprises with workforces exceeding 10,000. and development (R&D), customer experience,\n strategy and planning, business development,\n engineering, quality and compliance, sales and\n marketing, supply chains, human resources,\n finance, procurement, law and security.\n\nProof over Promise: Insights on Real-World AI Adoption from 2025 MINDS Organizations 6","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-6","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"759b359d8f9284bcfafa4ede02cf80d257ba8ca3ab01d99fbcdcd50f947f55a8","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":18,"page":7,"heading":"실제 AI 도입에서 얻은 교훈 · 7쪽","text":"Evolving capabilities Collaborative partnerships\n\n– Applicants harnessed AI tools that were cutting – Many organizations are increasingly forming\n edge only a few years ago. Machine learning partnerships to bridge any gaps they may\n (ML) remains foundational, complemented by have and accelerate the scaling of AI. This\n natural language processing, computer vision represented 30% of MINDS applications,\n and, increasingly, agentic systems. often consisting of a technology provider\n and one customer.\n – Technologies such as chatbots and image\n recognition, once complex, are now standard, – Collaborations often combine complementary\n demonstrating how rapid advances in AI are strengths, such as advanced technologies,\n driving tangible business and societal value. domain or technical expertise and even\n diverse datasets.\n – More than one-third of applicants to the MINDS\n programme highlighted the use of agentic AI in\n their current solutions.\n\n1.3 Selected cohort of organizations\n for the 2025 MINDS programme","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-7","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=7","page":7},"trust":"source-data-not-instructions"},{"id":"f0037ce4a4aa63c81db12d2086acb78f69e00fda56362ecaf64ef8ea79abaca7","documentId":"497d19dfba4bfb1a81734527","documentSha256":"497d19dfba4bfb1a81734527039d0af4ffaa693c74ec552e0fba9f5f11df1e4c","extractionVersion":"0e80b88e5d38d011eca3f5da4b630b79b33391bb81eb63f67ecf93978e9819ae","ordinal":19,"page":7,"heading":"실제 AI 도입에서 얻은 교훈 · 7쪽","text":"Each The organizations listed in Figure 2 were notable and production quality, and delivering organization leaders selected as members of the 2025 MINDS cost savings and productivity gains from represents a proof cohorts, representing broad regional diversity. AI-driven opportunities point of what is Each organization represents a proof point of what is possible when AI is implemented effectively. – Environmental: driving sustainability throughpossible when AI The insights that follow, however, are not meant better energy efficiency, reduced waste andis implemented to represent the full scope of global AI adoption, lower emissions effectively. but rather to highlight examples from select organizations that offer direction and inspiration for – Social: promoting positive impacts for people future innovation. Collectively, organizations within and communities by improving health, education, these cohorts are delivering measurable progress for inclusion, well-being and other factors that industry and society across three impact categories: strengthen resilience and shared prosperity","citation":{"title":"실제 AI 도입에서 얻은 교훈","publisher":"World Economic Forum","url":"/library/497d19dfba4bfb1a81734527#page-7","pdfUrl":"/library/497d19dfba4bfb1a81734527/original.pdf#page=7","page":7},"trust":"source-data-not-instructions"}]}