{"schemaVersion":"1.0","document":{"id":"fa602ff7749b97972ba9b70b","title":"2030년 AI와 인재가 만드는 일자리의 네 미래","originalTitle":"Four Futures for Jobs in the New Economy: AI and Talent in 2030","category":"work","categoryLabel":"일자리·인재","publisher":"World Economic Forum","language":"en","publicationYear":2026,"publicationMonth":1,"publishedOn":"2026-01-07","datePrecision":"day","dateSource":"https://www.weforum.org/publications/four-futures-for-jobs-in-the-new-economy-ai-and-talent-in-2030/","coverUrl":"/assets/covers/library-fa602ff7749b97972ba9b70b.jpg","tags":["미래일자리","인재","시나리오","2030","jobs","talent","scenarios"],"pages":20,"bytes":1525680,"sha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","searchable":true,"url":"/library/fa602ff7749b97972ba9b70b","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf","chunksUrl":"/api/library/fa602ff7749b97972ba9b70b/chunks","extraction":{"totalPages":20,"pagesWithSubstantialText":20,"sparsePages":[],"method":"pdf-text","ocrPerformed":false},"relatedPublications":[{"series":"커스텀 브리프","issue":"7호","url":"/archive/custom-07","title":"첫 칸이 사라진 사다리"}],"metadataNote":"한국어 제목·분류·검색어는 원문 탐색을 위한 편집 정보입니다."},"extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","total":69,"offset":0,"nextOffset":20,"chunks":[{"id":"04b8c0caa6aa2d846078329e680583999afcb817bea5ab6af2ceace1ac3d291d","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":0,"page":1,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 1쪽","text":"Scenarios for the Global Economy Dialogue Series\n\nFour Futures for Jobs\nin the New Economy:\nAI and Talent in 2030\n\nW H I T E P A P E R\nJ A N U A R Y 2 0 2 6","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-1","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=1","page":1},"trust":"source-data-not-instructions"},{"id":"31c8b03532f9f1a8a2ca33be1e45e70d84c6481b34e2dc3da56d428679aa1f8c","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":1,"page":2,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 2쪽","text":"Images: Adobe Stock\n\nContents\n\nExecutive summary 3\n\n1 Introduction 5\n\n2 Four futures for jobs in 2030 7\n\n3 Implications for businesses 14\n\n4 How businesses can prepare today for any scenario 16\n\nContributors 17\n\nEndnotes 19\n\nDisclaimer\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\nFour Futures for Jobs in the New Economy: AI and Talent in 2030 2","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-2","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=2","page":2},"trust":"source-data-not-instructions"},{"id":"c1b9dc4ccf3b7603218c85a286b148e89a77c34c77443b5a19c0a09b7db78e45","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":2,"page":3,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 3쪽","text":"Executive summary\nForesight provides a lens to explore critical\nuncertainties and shape strategies to\nnavigate and harness transformative shifts.","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-3","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"477fdf616c31f1b8936fab1f733d5db3bf474357ca6ef794906dfae603632aee","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":3,"page":3,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 3쪽","text":"The rapid commercialization of emerging technologies Supercharged Progress: Exponential AI 1 is reshaping workflows, business models and talent breakthroughs reshape industries, business pipelines. As artificial intelligence (AI) shifts from models and workflows. Productivity soars and experimentation to integration, the pace and trajectory innovation flourishes. Widespread AI readiness of its advancement deepen the uncertainty about allows people to harness the “agentic leap”, its implications on businesses, workers and the adapt to AI-centric economies and partially global economy. contain displacement. Many jobs have disappeared, but new occupations emerge The views of business executives on the impact and scale fast, in part with humans directing of AI vary too: globally, about 54% expect AI to portfolios of capable machines and becoming displace existing jobs, and 24% said AI will create agent orchestrators. Social safety nets, ethics new jobs. Nearly 45% also cited an increase in and governance frameworks struggle to keep","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-3","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"d3c1827d45ee414df696e58b9d4c2871cf4d9faec31fe3a36fa554d774f7dcbf","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":4,"page":3,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 3쪽","text":"profit margins as a likely impact of AI, and only up with the pace and scale of change. 12% expect it to lead to higher wages. The Age of Displacement: Exponential AI 2 The future of workplaces and value chains will not advancement outpaces the capacity of the be defined by the technologies alone. Human capital workforce to adapt. Businesses race to strategies and investments prioritized today will automate as a stopgap, displacing workers determine how well societies and individual businesses faster than education and reskilling systems can can adapt to – and lead in – the new economy. respond. Agentic AI takes over key processes, creating a productivity upsurge, but also new risks. Economies race ahead technologically Turning uncertainty into foresight but fracture socially: unemployment spikes, consumer confidence erodes and governments face mounting societal risks and instability. The World Economic Forum’s Scenarios for the Global Economy Dialogue Series uses scenario analysis Co-Pilot Economy: Gradual AI progress and 3","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-3","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"3ed7d2f54c8395f24e543aa472e4abc036b5bffb163ddf4082d88571be2c6e83","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":5,"page":3,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 3쪽","text":"and cross-industry dialogue to help decision- availability of AI-ready skillsets shift the focus makers navigate global economic developments towards augmentation rather than mass and their implications for strategy and investment automation. The AI hype of the 2020s has decisions. This white paper consolidates the views given way to pragmatic integration: most and insights from the members of the Forum’s Chief industries see incremental transformation as Strategy Officers Community and other experts human–AI teams reshape value chains. across the Forum’s Industry Communities and Global Countries and businesses that invested early Foresight Network. in training, mobility, digital infrastructure and AI governance have created conditions to absorb This second edition in the series explores how AI and advance emerging technologies. advancements and talent trends, and their potential trajectories until 2030, could shape the future Stalled Progress: Steady AI progress meets 4 of jobs, with varying implications for corporate a workforce lacking critical skills. Productivity","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-3","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"0277fb03baf2a4b21c55edbc7ba28029be18b8f5ecca648637046c028fc57a85","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":6,"page":3,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 3쪽","text":"strategies and investment decisions. growth is patchy, and businesses lean on automation to backfill scarce talent. Gains concentrate within businesses and geographies Four scenarios for the future with AI expertise, while others face eroding of jobs in 2030 competitiveness. Displacement hits primarily routine roles, while the value of skilled trades and manual occupations increases. The hope Taken together, AI advancement and talent of AI-enabled prosperity fades into frustration, development vectors generate the following as adoption gaps fuel inequality, create a four scenarios for the future of jobs in 2030. bifurcated economy and limit growth.\n\nFour Futures for Jobs in the New Economy: AI and Talent in 2030 3","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-3","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=3","page":3},"trust":"source-data-not-instructions"},{"id":"02e210ba8d849341ed6cbc9180fcc7162e4928ead90430840cd340c69724dbf6","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":7,"page":4,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 4쪽","text":"Strategies for the future – Invest in data governance and infrastructure\n\n– Anticipate talent needs and future-proof\nDrawing on the scenario narratives, analysis of value chains\nbusiness implications across the alternative futures,\nand dialogues with chief strategy officers and – Strengthen organizational culture and trust\nexperts, the following “no-regret” strategies have in emerging technologies\nbeen identified to help businesses prepare today\nfor any scenario. – Prepare for different implications across\n occupations, tasks and markets\n– Start small, build fast, scale what works\n – Design multi-generational workflows\n– Align technology and talent strategies\n – Leverage strategic partnerships\n– Invest in human-AI collaboration\n and agentic workflows\n\nFour Futures for Jobs in the New Economy: AI and Talent in 2030 4","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-4","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=4","page":4},"trust":"source-data-not-instructions"},{"id":"60a102e482be5814c92f1ee2a31ddd07c6b9623ecc65638c9501968c2e06bdd0","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":8,"page":5,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 5쪽","text":"1 Introduction\n The convergence of disruptive emerging\n technologies and workforce transformation\n creates new growth opportunities and risks.","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-5","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"9ff2b237f23a16a5ea129691bc94ff98da7ab47be348f5926da85bd177635b51","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":9,"page":5,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 5쪽","text":"The convergence of multiple transformative The adoption of these technologies promises forces is reshaping the global economy. systemic gains in productivity,3 but also raises Global macrotrends – such as geoeconomic critical questions about economic inclusion, values, fragmentation, technological change, the green trust and resilience. transition and others – are projected to create around 170 million new jobs by 2030, while According to the World Economic Forum’s annual displacing about 92 million existing jobs.1 survey of over 10,000 executives globally, about 54% of respondents expect AI to displace existing The rapid acceleration and commercialization of jobs, and 24% said AI will drive the creation disruptive emerging technologies such as artificial of new jobs. More than four in 10 executives intelligence (AI), autonomous systems and robotics surveyed expect AI to increase profit margins are among the most transformative trends. Over the across businesses, and only slightly less said AI","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-5","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"52f026e01875e27fee590fcfa2fffeab107f0a7b73c1c1a511bdcf1ff4ad68fa","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":10,"page":5,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 5쪽","text":"last few years, AI has moved from experimentation will increase accessibility (37%) and affordability to workflow integration, with the share of businesses (30%) of goods and services. Notably, only 12% using AI in at least one function increasing from expect AI to have a positive impact on wages, while 55% in 2022 to 88% in the latest estimates.2 24% predict an increase in industry concentration.\n\nF I G U R E 1 Perception of the business community about the impact of AI\n\nAl will...\n\n...displace a large number of existing jobs\n 54.3%\n\n...increase profit margins of businesses across a number of sectors 44.6%\n\n...increase accessibility of goods and services 37.0%\n\n...increase affordability of goods and services 30.0%\n\n...exacerbate industry concentration across a number of sectors 23.6%\n\n...create a large number of new jobs 23.5%\n\n...exacerbate discrimination against specific demographic groups 21.4%\n\n...lead to higher wages 12.1%\n\n0 10 20 30 40 50 60 70 80 90 100\n\nShare of respondents (%)\nSource: World Economic Forum. Executive Opinion Survey 2024.","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-5","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"c4e5f52b92d11794f3c3dffae928718b5d11adaf4baf6d90b53731534ac3b9c5","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":11,"page":5,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 5쪽","text":"Four Futures for Jobs in the New Economy: AI and Talent in 2030 5","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-5","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=5","page":5},"trust":"source-data-not-instructions"},{"id":"a8818b653797035a9be9b8d1dad6c919f665bb121c6593d499ca08a43c17d23a","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":12,"page":6,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 6쪽","text":"In the meantime, global talent dynamics are shifting and workforce transformation (24%) as some of the too. Demographic trends, persistent skills gaps and most impactful trends. strained social safety nets create complex – and often compounding – pressures on labour markets. Throughout 2025–2026, the Forum’s Scenarios The shortening longevity of skills demands greater for the Global Economy Dialogue Series uses agility and foresight from education and training scenario analysis and peer-level, cross-sectoral systems. Considering the impact of AI alone, LinkedIn dialogue to help decision-makers understand the estimates that the demand for AI literacy skills has evolving patterns of the global economy and their increased by 70% between 2024 and 2025.4 implications for strategy, investment decisions and resilience. Taken together, these shifts – and the diffusion of agentic AI – deepen the uncertainty around the This second paper in the series explores scenarios for future of the technology and its implications for the future of jobs at the intersection of AI advancement","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-6","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"5a840a3b625b453867f840b7f673e3d27a83f77099b89072f361beb7a4888e24","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":13,"page":6,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 6쪽","text":"businesses, workers and the global economy. and workforce readiness vectors and their potential trajectories until 2030. The transformations that once appeared as distant futures now arrive at speed and scale. Businesses The AI advancement vector represents the pace and across industries face growing competition to scale of progress in the capability and autonomy of AI innovate quickly, balance evolving investment technologies. The scenarios consider exponential and priorities and adapt in near real time. Simultaneously, incremental trajectories of AI advancement. governments are navigating a tightening fiscal space and complex decisions on enabling innovation while The workforce readiness vector captures the supporting jobs and economic inclusion. These availability of skills among workers that support their trends create new opportunities for industries and preparedness for an AI-driven economy. The scenarios individual businesses, but also risks. consider widespread and limited AI readiness.","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-6","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"b66c8c40a6f384789ba01c50051c33568ca361900cdf8a877497c5bb20ca17c8","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":14,"page":6,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 6쪽","text":"Looking at business strategies in the next five years, Combining these two vectors generates four\nthe results of the Forum’s latest survey of chief plausible futures, each with different implications for\nstrategy officers highlighted commercialization of AI corporate strategies, business models, investments\nand emerging technologies (72%), talent shortage and workflows.\n\nFour Futures for Jobs in the New Economy: AI and Talent in 2030 6","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-6","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=6","page":6},"trust":"source-data-not-instructions"},{"id":"96662b285b77bbeb742b064d05b5f8509f1753d120589c054a6638dc0f35bf64","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":15,"page":7,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 7쪽","text":"2 Four futures for jobs in 2030\n The four scenarios aim to provide stylized\n narratives from a complex global outlook.\n\n2.1 Scenarios at-a-glance\n\nThe interaction of AI advancement and workforce unemployment spikes, consumer confidence\n readiness vectors generates the following four erodes and governments face mounting societal\n scenarios for the future of jobs in 2030 (Figure 2). risks and instability.","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-7","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=7","page":7},"trust":"source-data-not-instructions"},{"id":"a06d90016b8d0ca4b4d9baaad35620e87c72afbd792af1297a21f31388fc418f","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":16,"page":7,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 7쪽","text":"Scenario 1: Supercharged Progress. Exponential Scenario 3: Co-Pilot Economy. Gradual AI progress AI breakthroughs reshape industries, business and availability of AI-ready skillsets shift the focus models and workflows. Productivity soars and towards augmentation rather than mass automation. innovation flourishes. Widespread AI readiness The AI hype of the 2020s has given way to pragmatic allows people to harness the “agentic leap”, adapt integration: most industries see incremental to AI-centric economies and partially contain transformation as human–AI teams reshape value displacement. Many jobs have disappeared, chains. Countries and businesses that invested but new occupations emerge and scale fast, in early in training, mobility, digital infrastructure and part with humans directing portfolios of capable AI governance have created conditions to absorb machines and becoming agent orchestrators. and advance emerging technologies. Social safety nets, ethics and governance frameworks struggle to keep up with the pace and Scenario 4: Stalled Progress. Steady AI progress","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-7","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=7","page":7},"trust":"source-data-not-instructions"},{"id":"28621c1187b0dfc5214fc71be3fe14b7b677dbe207c26b8bd49ac706d1901ec8","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":17,"page":7,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 7쪽","text":"scale of change. meets a workforce lacking critical skills. Productivity growth is patchy, and businesses lean on automation Scenario 2: The Age of Displacement. Exponential to backfill scarce talent. Gains concentrate within AI advancement outpaces the capacity of the businesses and geographies with AI expertise, while workforce to adapt. Businesses race to automate others face eroding competitiveness. Displacement as a stopgap, displacing workers faster than hits primarily routine roles, while the value of skilled education and reskilling systems can respond. trades and manual occupations increases. The hope Agentic AI takes over key processes, creating a of AI-enabled prosperity fades into frustration, as productivity upsurge, but also new risks. Economies adoption gaps fuel inequality, create a bifurcated race ahead technologically but fracture socially: economy and limit growth.\n\nF I G U R E 2 Four scenarios for the future of jobs in 2030\n\nAl advancement\n\nScenario 2 Scenario 1\n The Age of Displacement Supercharged Progress Exponential\n\nWorkforce Limited Widespread readiness","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-7","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=7","page":7},"trust":"source-data-not-instructions"},{"id":"5dc5124958df1ca20f746dd0ef0ce2869422df76b8801953f2003d377790cc3b","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":18,"page":7,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 7쪽","text":"Scenario 4 Scenario 3 Incremental\n Stalled Progress Co-Pilot Economy\n\nSource: World Economic Forum.\n\nThese futures have different characteristics economic data. Table 1 summarizes the potential\n when it comes to productivity, automation, direction of these characteristics by 2030 relative\n labour market participation, inequality and other to today’s baseline.\n\nFour Futures for Jobs in the New Economy: AI and Talent in 2030 7","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-7","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=7","page":7},"trust":"source-data-not-instructions"},{"id":"d9b2d72ce757883fb68d668a979354879fb3aea3e9ad5d9f185246d8418a5a25","documentId":"fa602ff7749b97972ba9b70b","documentSha256":"fa602ff7749b97972ba9b70b374bd32108bf1286fbf17dba1f6e3023332151be","extractionVersion":"4efe0d823b156a8ef946436eaa10554aebb37dcb58163627ed58cf6788343b02","ordinal":19,"page":8,"heading":"2030년 AI와 인재가 만드는 일자리의 네 미래 · 8쪽","text":"TA B L E 1 Economic data trajectory for the four scenarios by 2030\n\nIndicator Baseline Scenario 1 Scenario 2 Scenario 3 Scenario 4\n Supercharged The Age of Co-Pilot Stalled\n Progress Displacement Economy Progress\n\nAI capability, top five models average MMMU1 84.2\n\nAI literacy and adjacent skills N/A2\n\nLabour productivity growth, % annual 1.5%\n\nUnemployment rate, % 5%\n\nConsumer confidence index 48.8\n\nScaling of agentic AI, % of businesses 23%\n\nWage polarization, D9/D1 earners ratio3 16.8\n\nS&P 500 operating margin, % quarterly 12.6%","citation":{"title":"2030년 AI와 인재가 만드는 일자리의 네 미래","publisher":"World Economic Forum","url":"/library/fa602ff7749b97972ba9b70b#page-8","pdfUrl":"/library/fa602ff7749b97972ba9b70b/original.pdf#page=8","page":8},"trust":"source-data-not-instructions"}]}