新经济技能：构建人工智能、数据和数字能力以促进增长

W H I T EP A P E R Contents Foreword Executive summary Introduction 1The AI, data and digital skills landscape 1.1What are AI, data and digital skills?1.2Supply and demand of AI, data and digital skills 2Call to action: developing, assessing and credentialing 3From principles to practice: assessing, developing Contributors Endnotes Disclaimer This document is published by theWorld Economic Forum as a contributionto a project, insight area or interaction.The findings, interpretations andconclusions expressed herein are a resultof a collaborative process facilitated and ©2025 World Economic Forum. All rightsreserved. No part of this publication maybe reproduced or transmitted in any formor by any means, including photocopying Foreword Saadia ZahidiManaging Director Ravi KumarChief Executive Officer Technology has long been a catalyst forproductivity, innovation and economic growth. Yetits potential can only be realized through peopleand their ability to adapt, learn and apply newcapabilities in a world where technology evolvesfaster than systems can respond. As artificial The research examines where skills gaps areemerging, the investments needed to fill them,and specific technology capabilities employers aredemanding. It also proposes a call to action foreducation, workforce and credentialing systems to The report underscores the simultaneouschallenge posed by rapid technological progressand a labour market facing difficulties in aligningthe supply of essential skills with existing demand. AI is transforming not only what skills are indemand, but also how they are applied acrosswork and industries to shape the new economy.According to the Forum’sFuture of JobsReport 2025, advancements in technology,particularly AI and information processing androbotics and automation, are among the mosttransformative forces shaping the world ofwork. Technology-related roles are expected to Amidst this, demand for skills is rocketing, asevidenced by the surge in wages for AI andmachine learning roles. Despite incentivizing skilldevelopment and soaring demand for digitallearning, however, few business leaders believeeducation systems are effectively preparing We hope this instalment in the New EconomySkills series will support public- and private-sector leaders as they navigate technology-driventransformation and invest not only in technology This paper is a collaboration between the WorldEconomic Forum and Cognizant and is the secondinstalment inthe New Economy Skillsseries. It Executive summary Growth and innovation depend not just ontechnology, but on people’s ability to adapt, The digital skills gap is wideningfaster than systems can respond AI’s promise will only be realizedif people have the skills to Only two in 10 business leaders believe educationsystems effectively develop AI and data skills, whilefour in 10 say the same for technology literacy.Globally, only about 20% of leaders believe theiremployees are proficient in AI and big data skills,despite anticipated demand growth through 2030. Generative AI (genAI) and advanced technologiesare unlocking new frontiers of growth, but only ifpeople have the skills to harness them. Accordingto Goldman Sachs research,1genAI could raiseglobal GDP by 7% (nearly $7 trillion) over a 10-yearperiod. Yet that potential will remain unrealizedwithout a workforce that is fluent in AI, data anddigital skills to deploy new technologies effectively.Drawing on data from education industry andworkforce technology providers, as well as While demand for digital skills learning is soaring (AIand big-data learning now account for one-fifth ofall digital learning hours) employer demand is stillconcentrated in roles such as cybersecurity andnetwork engineering (representing over half of alldigital jobs), while roles in AI and ML represent justover 1% of digital employment. Technology literacy AI is transforming which digitalskills are needed and how they Acquiring digital skills takes time,but can be accessible AI, data and digital skills are the most exposed totransformation; that is, AI is more likely to changethe way these skills are used. In contrast, human-centric skills, are expected to have relativelyminimal impact. On average, 68% of digital skillsare expected to change in how they’re applied,compared to 35% across more human-centric skills.AI and big data skills are over 30 times more likely Programming is the most demanding digital skillto learn at beginner and intermediate levels, whilenetworks and cybersecurity are often the mosttime-intensive at advanced levels (around 155hours). AI and big data offer more accessible Not every region or industry isprogressing equally The market is already rewarding The findings in this report reveal significantdisparities in how digital transformation is unfoldingacross sectors. Advanced digital expertise ishighly in-demand primarily in technology-intensiveindustries (IT, digital communications, automotiveand aero