Modelling the impact of Artificial Intelligence on the labour market in Czechia
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60456540%3A_____%2F21%3AN0000093" target="_blank" >RIV/60456540:_____/21:N0000093 - isvavai.cz</a>
Výsledek na webu
<a href="https://sciendo.com/it/article/10.2478/cejpp-2021-0006" target="_blank" >https://sciendo.com/it/article/10.2478/cejpp-2021-0006</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/cejpp-2021-0006" target="_blank" >10.2478/cejpp-2021-0006</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modelling the impact of Artificial Intelligence on the labour market in Czechia
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Modelling the impact of Artificial Intelligence on the labour market in Czechia
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50602 - Public administration
Návaznosti výsledku
Projekt
<a href="/cs/project/LTI20006" target="_blank" >LTI20006: Strategické informace pro mezinárodní výzkum (STRATIN)</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Central European Journal of Public Policy
ISSN
1802-4866
e-ISSN
—
Svazek periodika
15
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
12
Strana od-do
31.42
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85111735436