{"schemaVersion":"1.0","document":{"id":"000a301736a5bb9f5177b89f","title":"AI 데이터센터의 지속가능성과 회복력","originalTitle":"Data Centre Sustainability and Resilience","category":"digital","categoryLabel":"디지털·보안","publisher":"World Economic Forum","language":"en","publicationYear":2026,"publicationMonth":9,"publishedOn":"2026-09-21","datePrecision":"day","dateSource":"https://www.weforum.org/publications/data-centre-sustainability-and-resilience-a-decision-playbook-for-ai-infrastructure/","coverUrl":"/assets/covers/library-000a301736a5bb9f5177b89f.jpg","tags":["데이터센터","AI 인프라","전력","냉각","data 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sustainable and resilient data centre practices 14 2.2 Where decisions are locked in across development and operations 14 2.3 Key considerations along the data centre development pathway 16 2.4 Building from existing regulatory frameworks and metrics, labels and guidance 18 3 Universal decision principles and recommended metrics 20 3.1 Six universal decision principles 21 3.2 Recommended metrics 24 4 Market constraint profiles: why local context changes the answer 27 4.1 Six market constraint profiles 28 4.2 How to use the market constraint profiles 29 5 Stakeholder playbook and recommendations 30","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic 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Industry coalitions and initiatives 42 A2. Impacts of tech innovation and advancements on data centre design 43 A3. Data centre 101: types of data centres 44 A4. Emerging trends along the development pathway 45 A5. Existing regulations, metrics and labels 46 A6. Tech sector report recommendations 53 A7. Market constraint profile-specific notes for stakeholder recommendations 54 A8. Data centre assessment criteria 57 A9. Related reading 59 Contributors 61 Endnotes 64","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-2","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"6f0c84ef9b755f25acb6b16d3836f342a8481ed87a4cf0c38fd685155ef7e0cc","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":4,"page":2,"heading":"AI 데이터센터의 지속가능성과 회복력 · 2쪽","text":"Disclaimer\nThis document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings,\ninterpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World\nEconomic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its\nMembers, Partners or other stakeholders.\n© 2026 World Economic Forum. All rights reserved. No part of this publication may be reproduced or transmitted in any form or\nby any means, including photocopying and recording, or by any information storage and retrieval system.\n\nData Centre Sustainability and Resilience: A Decision Playbook for AI Infrastructure 2","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-2","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"21c331708b9dc480f13153453740b5d5a5990b8791b7566c08a25a37869ae5b4","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":5,"page":3,"heading":"AI 데이터센터의 지속가능성과 회복력 · 3쪽","text":"September 2026 Data Centre Sustainability and Resilience:\n A Decision Playbook for AI Infrastructure\n\nForeword\n\nSebastian Buckup Saji Sam\n Managing Director, Centre for Partner, Energy and Natural\n Nature and Climate, World Resources, Oliver Wyman,\n Economic Forum a Marsh business","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-3","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"54ec3ff01cdb216079f5d244c7b3c7e6ad7d7c0b18ba567d6fb8b7f991c45e60","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":6,"page":3,"heading":"AI 데이터센터의 지속가능성과 회복력 · 3쪽","text":"The next phase of artificial intelligence (AI) will Wyman, a Marsh business, examined the depend increasingly on where and how data technology sector’s impacts and dependencies centre infrastructure is built. Data centres do not on nature and identified practical actions for operate in isolation: their long-term viability depends companies and other stakeholders. The response on the capacity of surrounding energy, water to its findings pointed to the need for a deeper and infrastructure systems and the confidence examination of the sector and the decisions shaping of communities that host them. Infrastructure its rapidly expanding footprint. designed for changing operating conditions will be better positioned to expand, adapt and deliver value That deeper focus is warranted because over time. sustainability and resilience outcomes are shaped long before a facility begins operating, through For businesses, sustainability and resilience are decisions about location, design, technology, becoming fundamental conditions of success. financing and supporting infrastructure.","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-3","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"2beeaa57a0ebfaf4ab2d46e86fb0258c89d988ce3ca443bb205bb97aa80b3ae2","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":7,"page":3,"heading":"AI 데이터센터의 지속가능성과 회복력 · 3쪽","text":"They shape the entire business case, from whether Sustainability and resilience should therefore be projects can proceed to how facilities remain reliable considered together. More efficient resource use and assets retain value. Organizations that embed can reduce operating pressure and exposure to sustainability and resilience early can make more constraints, while resilient systems can protect informed capital decisions, reduce the risk of costly continuity when disruption occurs. An integrated redesign and strengthen stakeholder confidence. approach helps businesses avoid solutions that They can also preserve the flexibility needed to improve near-term performance while undermining respond as technologies, resource constraints and long-term viability. the operating environment evolve. This playbook is intended to help data centre Policy and regulatory expectations for data centres developers, operators, customers, investors have expanded in recent years and are likely to and policy-makers navigate these decisions. It continue rising.","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-3","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"6d917dcb0c1632aabd3877f0ac7edf1824405ed4b99b58051f88148775528d49","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":8,"page":3,"heading":"AI 데이터센터의 지속가능성과 회복력 · 3쪽","text":"The European Union’s Energy provides a practical framework for considering Efficiency Directive and a growing number of national local context, lifecycle impacts and the wider frameworks are setting stronger performance and systems on which data centres depend, while disclosure requirements. Community opposition identifying opportunities for coordinated action is also becoming more consequential, as local across the ecosystem. The scale of capital concerns over energy availability, water use, land flowing into AI infrastructure creates a rare impacts and local benefits increasingly delay or opportunity to establish long-term economic value constrain projects. Together, these developments while contributing to climate and nature goals. are raising the standard for how data centres need Grounding investment decisions in sustainability to be planned, approved and operated, turning and resilience can strengthen project viability and sustainability and resilience from a compliance avoid locking into resource-intensive development obligation into a source of competitive advantage.","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-3","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"53db3c70f469df1011af53a475bcd4f5ccb8c2e26515dac76a886ac75a5a1d0a","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":9,"page":3,"heading":"AI 데이터센터의 지속가능성과 회복력 · 3쪽","text":"pathways. The infrastructure being built today will support digital economies for decades, and its The World Economic Forum’s December 2025 success will depend on matching the speed of report, Nature Positive: Role of the Technology investment with the quality of the decisions behind Sector, developed in collaboration with Oliver it. The time to shape that outcome is now.\n\nData Centre Sustainability and Resilience: A Decision Playbook for AI Infrastructure 3","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-3","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"63fc4dec34c56c023504ce93152b59584cb0eb3d8df5faa17ec192b405b3cc47","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":10,"page":4,"heading":"AI 데이터센터의 지속가능성과 회복력 · 4쪽","text":"Executive summary\n As AI infrastructure expands, sustainability\n and resilience are central drivers of\n long-term competitiveness, investment\n attractiveness and operational success.","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-4","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"9ecf34e9f140c4f8f4dc5f6301ea37002952db19d2c51d4e1d992a9c8206cf50","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":11,"page":4,"heading":"AI 데이터센터의 지속가능성과 회복력 · 4쪽","text":"Artificial intelligence is rapidly becoming a operations (see Appendix A2) and the systems that foundational technology for economies, industries data centres rely on. and societies. From scientific discovery and healthcare to manufacturing, finance and public Sustainability and resilience are becoming core services, AI is transforming how people work, determinants of long-term business performance innovate and access digital services. Supporting (see Figure 1). Projects that are poorly matched to this transformation requires an unprecedented local resource conditions may face higher costs, expansion of digital infrastructure, with global data development delays and increased operational, centre investment potentially reaching $7 trillion by financial and community risks. Based on current 20301 and electricity demand projected to grow by dynamics impacting data centre projects, adopting more than 20% annually through 2030.2 sustainability and resilience measures could unlock between $700 billion and $1 trillion in total planned","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-4","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"45150df1da1d550b3b3e1164e68e135efead77f581e68fbf12198eec68446b3f","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":12,"page":4,"heading":"AI 데이터센터의 지속가능성과 회복력 · 4쪽","text":"This expansion is increasing demand for reliable data centre investment by 2030.4 This would be access to electricity, water, land, connectivity, achieved by reducing delays and cancellations critical materials and skilled labour. As digital through improvements to community relations, infrastructure expands, its long-term success will along with increased adaptability of infrastructure depend not only on advances in data centre and to local resource constraints, regulatory changes computing technologies, but also on strengthening and technological advancements. Integrating these the systems on which they depend.3 AI can also considerations early can strengthen operational help address these challenges by improving the performance, stakeholder confidence and long-term efficiency, reliability and resilience of data centre asset value.\n\nF I G U R E 1 The impacts of sustainability and resilience constraints\n\nSustainability/resilience constraints Data centre project impacts Business and stakeholder outcomes","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-4","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"d8b4c507d8a8ab13a5e903ef49af768620566b6fec9f4e198953c6eef4c10724","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":13,"page":4,"heading":"AI 데이터센터의 지속가능성과 회복력 · 4쪽","text":"– Power availability and cost – Project delays – Financial performance and investment risk\n– Grid interconnection delay – Higher capital expenditures – Operational resilience and uptime\n– Water availability/water rights – Higher operational expenditures – Customer demand competitiveness\n– Cooling performance under heat stress – Restricted operations – Regulatory compliance and permitting\n– Community opposition/permitting – Required redesign/retrofit – Community trust and social licence\n– Physical climate risk – Insurance cost or availability pressure – Insurance availability and cost\n– Technology obsolescence/AI demand – Tenant/utilization risk – Asset value and long-term viability\n uncertainty – Reputational or regulatory scrutiny\n– Transparency/greenwashing – Environmental impacts\n\nData Centre Sustainability and Resilience: A Decision Playbook for AI Infrastructure 4","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-4","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"3734f4ecf61f67458704d24b6e256cb700e6c4f6c61e1e682d622e699dbdf97e","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":14,"page":5,"heading":"AI 데이터센터의 지속가능성과 회복력 · 5쪽","text":"This playbook provides a practical decision that can be adapted to different market contexts\n framework to help developers, operators, and stakeholder roles.\n enterprise customers, financial institutions and\n policy-makers make more sustainable and resilient The playbook is organized around four practical\n decisions across the data centre development questions, each answered through a corresponding\n and operations lifecycle. Rather than prescribing a tool (see Table 1).\n single approach, it provides a common framework\n\nTA B L E 1 How to use this playbook\n\nQuestion Tool Chapter Purpose\n\nMaps where consequential decisions\n are made, who makes them and the\nWhen are key decisions made during factors that influence them, helping\n Data centre development pathway 2 identify where sustainability anddata centre design and operation?\n resilience considerations can have the\n greatest impact.","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-5","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"7ecf2069973b33f93bbbdf0003361dc7188cfcfc548153bd2ed897315c74fec6","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":15,"page":5,"heading":"AI 데이터센터의 지속가능성과 회복력 · 5쪽","text":"Provides a common foundation for\nWhat principles and metrics should Universal decision\n principles and 3 decision-makingextending beyondandtraditionalassessment,inform my decision? recommended metrics\n operational efficiency measures.\n\nHelps tailor decisions to local\nWhat choices should be made based\n Market constraint profiles 4 conditions by identifying the topon my local context?\n constraints shaping different markets.\n\nProvides practical guidance for\n developers, operators, enterprise\nWhich actions are relevant to my role\n Stakeholder-specific recommendations 5 customers, financial institutions andat this step?\n policy-makers to apply the framework\n within their respective roles.","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-5","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"700ab10c6ffcc60a467396be9632fd87bf1efc9fa82cfb14ae7619397dd88f2e","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":16,"page":5,"heading":"AI 데이터센터의 지속가능성과 회복력 · 5쪽","text":"This playbook proposes an expanded set of metrics constraints and broader system interactions. As a\n for assessing the sustainability and resilience of data result, facilities with strong operational performance\n centres – approximately three-quarters of which may still depend on constrained electricity\n are not yet widely adopted in either public or non- networks, operate in water-stressed regions, require\n public reporting. Existing regulations, frameworks significant new infrastructure or face increasing\n and certifications provide valuable guidance on climate, biodiversity and community risks. There\n operational efficiency, climate performance and is no universally “sustainable” or “resilient” data\n disclosure, but often focus on individual facilities centre. The appropriate sustainability and resilience\n rather than lifecycle impacts, local resource strategy depends on local conditions.\n\nD E F I N I T I O N S Sustainable and resilient practices","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-5","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"e1e122a2d37085fea9bc7bc3239d4947e13493aff1d817330cea36bf2c0da831","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":17,"page":5,"heading":"AI 데이터센터의 지속가능성과 회복력 · 5쪽","text":"Sustainable practices are those that support long-term operation within environmental and social limits by\n optimizing resource use, minimizing adverse impacts and, where feasible, creating positive environmental and\n social outcomes.\n\nResilient practices for data centres are those that help them withstand and adapt to longer-term nature\n degradation and acute physical, operational and systemic disruptions, which include natural disasters, collapsed\n infrastructure and other external shocks.\n\nData Centre Sustainability and Resilience: A Decision Playbook for AI Infrastructure 5","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-5","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"5a1f72418e416e77e486f692bb2acded71d2a11a1c5a368d2b127a45251c9dba","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":18,"page":6,"heading":"AI 데이터센터의 지속가능성과 회복력 · 6쪽","text":"F I G U R E 2 Five considerations for embedding sustainability and resilience in AI infrastructure\n\n1. Sustainability and resilience must be embedded early 2. Local context matters\n\nAddress sustainability and resilience during siting, design, Evaluate data centres against local market constraints,\n procurement and financing, when many of the most rather than a single universal model of good performance.\n consequential decisions are made.\n\n5. No stakeholder can solve 3. Facility-level optimization is\n this alone not sufficient\n\nCoordinate planning and decisions Consider how data centres interact\n across the data centre ecosystem to with energy, water, connectivity,\n strengthen sustainability and infrastructure and community\n resilience. systems to account for impacts\n beyond the facility.\n\n4. Metrics need to expand\n\nComplement foundational metrics such as PUE, WUE* with\n lifecycle, context-aware and resilience-orientated indicators.\nNote: *PUE = power usage effectiveness, WUE = water usage effectiveness.","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-6","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"535b43d1ed334bb0028690208befe1fe8d621bd25c78f11489a3481b33d5e5b4","documentId":"000a301736a5bb9f5177b89f","documentSha256":"000a301736a5bb9f5177b89f52c708dfcd6ac866f71f2001ec3049bdc9ed7875","extractionVersion":"6272e7238485d2ce81480bc02949e3b120da786e54e7e7ccb25a7a9feb1a12ad","ordinal":19,"page":6,"heading":"AI 데이터센터의 지속가능성과 회복력 · 6쪽","text":"Taken together, the considerations in Figure 2 these factors as core design, investment and\n illustrate that decisions about energy, water, operational criteria will be better positioned to\n land, materials, connectivity, infrastructure and scale up AI infrastructure while managing execution\n community acceptance will shape the next risk, protecting asset value and supporting\n generation of AI infrastructure as much as advances the resilience of the systems on which digital\n in computing technology. Organizations that treat infrastructure depends.\n\nData Centre Sustainability and Resilience: A Decision Playbook for AI Infrastructure 6","citation":{"title":"AI 데이터센터의 지속가능성과 회복력","publisher":"World Economic Forum","url":"/library/000a301736a5bb9f5177b89f#page-6","pdfUrl":"/library/000a301736a5bb9f5177b89f/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"}]}