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世界经济论坛&Cognizant:2025新经济技能:构建AI、数据与数字能力以驱动增长白皮书(中译版)(40页).pdf

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1、New Economy Skills:Building AI,Data and Digital Capabilities for GrowthW H I T E P A P E RIn collaboration with Cognizant D E C E M B E R 2 0 2 5Images:Image Unsplash.Cover by AccuratDisclaimer This document is published by the World Economic Forum as a contribution to a project,insight area or inte

2、raction.The findings,interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum,nor the entirety of its Members,Partners or other st

3、akeholders.2025 World Economic Forum.All rights reserved.No part of this publication may be reproduced or transmitted in any form or by any means,including photocopying and recording,or by any information storage and retrieval system.ContentsForeword 3Executive summary 4Introduction 61 The AI,data a

4、nd digital skills landscape 71.1 What are AI,data and digital skills?71.2 Supply and demand of AI,data and digital skills 81.3 Regional trends 272 Call to action:developing,assessing and credentialing digital skills 293 From principles to practice:assessing,developing and credentialing AI,data and d

5、igital skills 33Contributors 38Endnotes 39New Economy Skills:Building AI,Data and Digital Capabilities for Growth2ForewordTechnology has long been a catalyst for productivity,innovation and economic growth.Yet its potential can only be realized through people and their ability to adapt,learn and app

6、ly new capabilities in a world where technology evolves faster than systems can respond.As artificial intelligence(AI)and data-driven systems continue to reshape global value chains and transform industries and economies,digital fluency and human adaptability have become macroeconomic imperatives.AI

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根据报告的内容,本文主要探讨了AI、数据与数字技能的供需情况,并提出了发展、评估和认证数字技能的框架。关键点如下: 1. **技能需求增长**:雇主对数字技能的需求持续增长,特别是AI和大数据技能,预计未来5年将变得更加重要。然而,全球只有约20%的领导者认为员工精通AI和大数据技能。 2. **技能学习时间**:学习数字技能需要投入大量时间,编程是最耗时的技能,而AI和大数据提供了更易入门的途径。 3. **技能供需差异**:不同地区和行业在数字技能发展上存在差异,北美在AI和数据分析技能发展方面领先,而非洲和拉美在协作和管理等人文技能方面表现更强。 4. **技能薪酬增长**:AI和机器学习职位的薪酬自2019年以来增长了27%,达到平均近19万美元,突显了市场对这类技能的重视。 5. **技能学习曲线**:编程是最耗时的技能,而AI和大数据提供了更易入门的途径,但达到高级水平需要大量时间投入。 6. **技能应用**:AI正在改变数字技能的需求和应用方式,68%的数字技能将经历混合或完全转变,而人文技能的影响相对较小。 7. **技能投资建议**:建议加大对数字技能的广度和深度投资,包括创建可转移的认证、制定共享标准,并通过实际应用来评估数字技能。
"AI技能,未来职场必备?" "数字技能,如何成为职场赢家?" "AI时代,你的技能升级了吗?"
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