Generative AI and Labour Market Research Interest Framework

Abstract This study investigates the intersection between generative artificial intelligence (GenAI) and labour market by developing a comprehensive framework to analyse the current state of scientific interest in this emerging topic. The research employs a quantitative methodology, using a comparatively implemented bibliometric analysis, thus examining two major databases, Web of Science and Scopus with the aim to provide a deeper understanding of academic landscape. The research focuses on the database with the largest number of relevant papers, providing insight into the concentration of academic activity in the field, both in terms of evolution over time, trends, countries, keywords and authors with the highest research impact. The research reveals a significant gap in the literature concerning the impact of GenAI in labour market, with only one small percentage of papers addressing this topic. Key findings include a rise in publications post-2018, particularly from the USA, Russia and China, and a lack of developed research networks. This article concludes the further exploration of the implication of GenAI on the labour market is needed, with potential directions for future research.