{"title":"Modelling the impact of Artificial Intelligence on the labour market in Czechia","authors":"M. Fatun, M. Pazour","doi":"10.2478/cejpp-2021-0006","DOIUrl":null,"url":null,"abstract":"Abstract This article describes an original model developed in the Technology Centre CAS for the estimation of the impact of Artificial Intelligence (AI) on the labour market in Czechia. On the contrary to the previous estimates, this model is based on the comparison of projected future technical capabilities of AI with a mix of capabilities needed in different job categories. Both the importance and the level of capabilities are taken into account in order to assess the impact of AI on jobs in three different time horizons. Based on the model calculations, it can be expected that on the five-year horizon the AI will be able to replace more than 50% of the required capabilities in 11 % of the occupations. On the thirty-year horizon, AI can replace over 50% of capabilities in the vast majority of the current professions. At the same time, new professions will continuously emerge, though they will place different demands on their performers and will require different skills and capabilities in comparison to current professions. The model and its results may be effectively used for efficient adaptation of education, lifelong learning and retraining to the changing nature of work, and related new demand for workers’ capabilities.","PeriodicalId":38545,"journal":{"name":"Central European Journal of Public Policy","volume":"15 1","pages":"31 - 42"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Central European Journal of Public Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/cejpp-2021-0006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 3
Abstract
Abstract This article describes an original model developed in the Technology Centre CAS for the estimation of the impact of Artificial Intelligence (AI) on the labour market in Czechia. On the contrary to the previous estimates, this model is based on the comparison of projected future technical capabilities of AI with a mix of capabilities needed in different job categories. Both the importance and the level of capabilities are taken into account in order to assess the impact of AI on jobs in three different time horizons. Based on the model calculations, it can be expected that on the five-year horizon the AI will be able to replace more than 50% of the required capabilities in 11 % of the occupations. On the thirty-year horizon, AI can replace over 50% of capabilities in the vast majority of the current professions. At the same time, new professions will continuously emerge, though they will place different demands on their performers and will require different skills and capabilities in comparison to current professions. The model and its results may be effectively used for efficient adaptation of education, lifelong learning and retraining to the changing nature of work, and related new demand for workers’ capabilities.
期刊介绍:
The Central European Journal of Public Policy (CEJPP) is an open-access, multidisciplinary, peer-reviewed journal with primary focus upon analytical, theoretical and methodological articles in the field of public policy. The journal does not have article processing charges (APCs) nor article submission charges. The aim of the CEJPP is to provide academic scholars and professionals in different policy fields with the latest theoretical and methodological advancements in public policy supported by sound empirical research. The CEJPP addresses all topics of public policy including social services and healthcare, environmental protection, education, labour market, immigration, security, public financing and budgeting, administrative reform, performance measurements, governance and others. It attempts to find a balance between description, explanation and evaluation of public policies and encourages a wide range of social science approaches, both qualitative and quantitative. Although the journal focuses primarily upon Central Europe, relevant contributions from other geographical areas are also welcomed in order to enhance public policy research in Central Europe.