ROMANIA’S LABOUR MARKET EXPOSURE TO AI
Ludovic DIOSZEGI
Doctoral School of Economic Sciences, University of Oradea, Oradea, Romania dioszegi.ludovic@student.uoradea.ro
Abstract: New technologies are significant drivers of contemporary social transformations. These changes often lead to predictions about the future of jobs, primarily based on historical analogies and ideological suppositions. In addition to theoretical perspectives, the impact of artificial intelligence (AI) on the labour market is rigorously analyzed empirically, through task and skill assessments aimed at forecasting the future of work. We wish to extend these empirical methods to the Romanian labour market, using a model based on composing activities exposure evaluation within each occupation. Present research does not measure the impact of AI on labour market or predict the future of jobs or of employment. It measures the potential impact of AI to labour market by measuring its exposure, meaning the degree to which occupations or specific tasks within those occupations are likely to be affected by the present capabilities of artificial intelligence technologies. The results show that due to large employment numbers within occupations with low AI exposure scores, the average weighted AI exposure score for Romanian market, 6.75, is below the mean value of 6.81 and below the EU level of 6.79. By analyzing the evolution of high exposure occupation groups, presuming that automation and AI solutions are being applied, we can conclude that there is no correlation between AI exposure and employment trends on Romanian labour market. The study emphasizes the asymmetric impact of AI on different economies, depending on the structure of their labour market. The analysis does not indicate the existence of a substitution or complementation effect.
Keywords: artificial-intelligence; automation; labour-market; employment; exposure.
JEL Classification: J21; O33
