Literaturnachweis - Detailanzeige
| Autor/inn/en | Ahmadi, Mahdi; Kheslat, Neda Khosh; Akintomide, Adebola |
|---|---|
| Titel | Generative AI Impact on Labor Market: Analyzing ChatGPT's Demand in Job Advertisements. Gefälligkeitsübersetzung: Auswirkungen von generativer KI auf den Arbeitsmarkt: Analyse der Nachfrage nach ChatGPT in Stellenausschreibungen. |
| Quelle | (2024), 27 S.
PDF als Volltext kostenfreie Datei (1); PDF als Volltext (2); PDF als Volltext kostenfreie Datei (3) |
| Reihe | arXiv papers. 2412.07042 |
| Sprache | englisch |
| Dokumenttyp | online; Monografie |
| DOI | 10.48550/arXiv.2412.07042 |
| Schlagwörter | Fachkenntnisse; Natürliche Sprache; Computerlinguistik; Beschäftigungseffekt; Berufsgruppe; Qualifikationsanforderung; Jobbörse; Arbeitspapier; Auswirkung; Sektorale Verteilung; USA |
| Abstract | "The rapid advancement of Generative AI (Gen AI) technologies, particularly tools like ChatGPT, is significantly impacting the labor market by reshaping job roles and skill requirements. This study examines the demand for ChatGPT-related skills in the U.S. labor market by analyzing job advertisements collected from major job platforms between May and December 2023. Using text mining and topic modeling techniques, we extracted and analyzed the Gen AI-related skills that employers are hiring for. Our analysis identified five distinct ChatGPT-related skill sets: general familiarity, creative content generation, marketing, advanced functionalities (such as prompt engineering), and product development. In addition, the study provides insights into job attributes such as occupation titles, degree requirements, salary ranges, and other relevant job characteristics. These findings highlight the increasing integration of Gen AI across various industries, emphasizing the growing need for both foundational knowledge and advanced technical skills. The study offers valuable insights into the evolving demands of the labor market, as employers seek candidates equipped to leverage generative AI tools to improve productivity, streamline processes, and drive innovation." The study refers to the period 2023-2023 (Author's abstract, IAB-Doku). |
| Erfasst von | Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg |
| Update | 2025/2 |
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