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    인공지능과 로봇기술의 노동시장 파급효과 분석을 위한 일자리 대체가능성 지수의 개발 = Developing an AI Job Replacement Index for Analyzing Labor Market Disruptions

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    https://www.riss.kr/link?id=A109272469

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The impact of artificial intelligence and the Fourth Industrial Revolution on employment is projected to be profound. These technologies are distinguished by their ability to automate not only routine and non-cognitive tasks but also cognitive and non-routine tasks. However, existing research has predominantly focused on the automation of routine non-cognitive tasks. This study aims to address the limitations of prior research by offering a more comprehensive analysis of the future labor market taking into account the combined effects of artificial intelligence and robotics technologies.
    To achieve this, the study utilizes ONET data from the United States. This outlines the abilities and skills required for various job roles and additionally incorporates expert survey evaluations of how robotics and artificial intelligence can replace these skills and abilities, thereby deriving an AI job replacement index for each occupation. The study analyzes the anticipated changes and current status of the labor market in South Korea as well as potential future impacts based on this index.
    The analysis reveals that over half of the jobs in the South Korean labor market are at risk of being replaced. Furthermore, there has been a declining trend in the proportion of jobs with high replacement potential over the past decade. Conversely, while jobs that are difficult to replace represent the smallest share of the labor market, their proportion has gradually increased. The findings of this study highlight the importance of policy efforts to mitigate labor market imbalances between occupations and facilitate job transitions, such as strengthening mechanisms that ease occupational shifts.
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    The impact of artificial intelligence and the Fourth Industrial Revolution on employment is projected to be profound. These technologies are distinguished by their ability to automate not only routine and non-cognitive tasks but also cognitive and non...

    The impact of artificial intelligence and the Fourth Industrial Revolution on employment is projected to be profound. These technologies are distinguished by their ability to automate not only routine and non-cognitive tasks but also cognitive and non-routine tasks. However, existing research has predominantly focused on the automation of routine non-cognitive tasks. This study aims to address the limitations of prior research by offering a more comprehensive analysis of the future labor market taking into account the combined effects of artificial intelligence and robotics technologies.
    To achieve this, the study utilizes ONET data from the United States. This outlines the abilities and skills required for various job roles and additionally incorporates expert survey evaluations of how robotics and artificial intelligence can replace these skills and abilities, thereby deriving an AI job replacement index for each occupation. The study analyzes the anticipated changes and current status of the labor market in South Korea as well as potential future impacts based on this index.
    The analysis reveals that over half of the jobs in the South Korean labor market are at risk of being replaced. Furthermore, there has been a declining trend in the proportion of jobs with high replacement potential over the past decade. Conversely, while jobs that are difficult to replace represent the smallest share of the labor market, their proportion has gradually increased. The findings of this study highlight the importance of policy efforts to mitigate labor market imbalances between occupations and facilitate job transitions, such as strengthening mechanisms that ease occupational shifts.

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    참고문헌 (Reference)

    1 조선비즈, "트레이더 600명에서 2명으로…IT 기업된 골드만삭스"

    2 엄상민, "코로나 위기가 초래한 고용구조 변화와 향후 전망" 한국개발연구원 2021

    3 조지용 ; 박태영, "잠재 집단분석을 이용한 퇴직자의 사회적 관계유형 변화에 관한 종단적 연구" 18 (18): 599-623, 2013

    4 김민영 ; 조민지 ; 임업, "자동화 기술의 발전이 지역노동시장 중간일자리 감소에 미치는 영향: 잠재성장모형의 적용" 93 : 25-41, 2017

    5 전병유 ; 정준호 ; 장지연, "인공지능 (AI) 의 고용과 임금 효과" 40 (40): 133-156, 2022

    6 김세움, "기술진보의 노동시장에 대한 동태적 영향" 한국노동연구원 2014

    7 김세움, "기술진보에 따른 노동시장 변화와 대응" 한국노동연구원 2015

    8 홍사흠, "기술진보가 지역일자리에 미치는 영향: 대체될 것인가? 지속될 것인가?" 국토연구원 2022

    9 IFR, "World robotics 2022" IFR International Federation of Robotics 2022

    10 Knoblach, M., "What determines the elasticity of substitution between capital and labor? A literature review" 34 (34): 847-875, 2020

    1 조선비즈, "트레이더 600명에서 2명으로…IT 기업된 골드만삭스"

    2 엄상민, "코로나 위기가 초래한 고용구조 변화와 향후 전망" 한국개발연구원 2021

    3 조지용 ; 박태영, "잠재 집단분석을 이용한 퇴직자의 사회적 관계유형 변화에 관한 종단적 연구" 18 (18): 599-623, 2013

    4 김민영 ; 조민지 ; 임업, "자동화 기술의 발전이 지역노동시장 중간일자리 감소에 미치는 영향: 잠재성장모형의 적용" 93 : 25-41, 2017

    5 전병유 ; 정준호 ; 장지연, "인공지능 (AI) 의 고용과 임금 효과" 40 (40): 133-156, 2022

    6 김세움, "기술진보의 노동시장에 대한 동태적 영향" 한국노동연구원 2014

    7 김세움, "기술진보에 따른 노동시장 변화와 대응" 한국노동연구원 2015

    8 홍사흠, "기술진보가 지역일자리에 미치는 영향: 대체될 것인가? 지속될 것인가?" 국토연구원 2022

    9 IFR, "World robotics 2022" IFR International Federation of Robotics 2022

    10 Knoblach, M., "What determines the elasticity of substitution between capital and labor? A literature review" 34 (34): 847-875, 2020

    11 Autor, D. H., "The skill content of recent technological change: An empirical exploration" 118 (118): 1279-1333, 2003

    12 Autor, D. H., "The polarization of the U.S. labor market" 96 (96): 189-194, 2006

    13 Wright, E. O., "The patterns of job expansions in the United States: A comparison of the 1960s and 1990s" 1 : 289-325, 2003

    14 Felten, E. W., "The occupational impact of artificial intelligence: Labor, skills, and polarization" New York NYU Stern School of Business

    15 Webb, M., "The impact of artificial intelligence on the labor market" Stanford Univ

    16 Autor, D. H., "The growth of low-skill service jobs and the polairzation of the U.S. labor market" 103 (103): 1553-1597, 2013

    17 Frey, C. B., "The future of employment: How susceptible are jobs to computerisation?" Oxford Martin School, Programme on the Impacts of Future Technology, University of Oxford 2013

    18 Frey, C. B., "The future of employment: How susceptible are jobs to computerisation?" 114 : 254-280, 2017

    19 Nylund-Gibson, K., "Ten frequently asked questions about latent class analysis" 4 (4): 440-, 2018

    20 Tein, J. Y., "Statistical power to detect the correct number of classes in latent profile analysis" 20 (20): 640-657, 2013

    21 Spurk, D., "Latent profile analysis: A review and “how to” guide of its application within vocational behavior research" 120 : 103445-, 2020

    22 Goos, M., "Job polarization in Europe" 99 (99): 58-63, 2009

    23 Hickendorff, M., "Informative tools for characterizing individual differences in learning: Latent class, latent profile, and latent transition analysis" 66 : 4-15, 2018

    24 IBM, "IBM global AI adoption index 2022" IBM Corporation 2022

    25 Acemoglu, D., "Changes in unemployment and wage inequality: An alternative theory and some evidence" 89 (89): 1259-1278, 1999

    26 Tschang, F. T., "Artificial intelligence as augmenting automation: Implications for employment" 35 (35): 642-659, 2021

    27 Furman, J., "Artificial Intelligence, Automation, and the Economy" Executive Office of the President, The White House 2016

    28 한지우, "AI와 노동시장 변화" 한국은행 2023

    29 Damioli, G., "AI technologies and employment: Micro evidence from the supply side" 30 (30): 816-821, 2023

    30 McKinsey & Company, "A future that works: automation, employment, and productivity" Mckinsey Global Institute 2017

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