Assessing the Impact of Artificial Intelligence on Germany's Labor Market: Insights from a ChatGPT Analysis.

Autor/in	Oschinski, Matthias
Titel	Assessing the Impact of Artificial Intelligence on Germany's Labor Market: Insights from a ChatGPT Analysis. Gefälligkeitsübersetzung: Bewertung der Auswirkungen künstlicher Intelligenz auf den deutschen Arbeitsmarkt: Erkenntnisse aus einer ChatGPT-Analyse.
Quelle	München (2023), 38 S. PDF als Volltext kostenfreie Datei (1); PDF als Volltext kostenfreie Datei (2) Link als defekt meldenVerfügbarkeit
Reihe	MPRA paper. 118300
Sprache	englisch
Dokumenttyp	online; Monographie
Schlagwörter	Kompetenz; Künstliche Intelligenz; Geistige Arbeit; Substitution; Natürliche Sprache; Sprachverarbeitung; Automatisierung; Technologische Entwicklung; Beschäftigungseffekt; Arbeitsmarkt; Berufsgruppe; Qualifikation; Qualifikationsbedarf; Tätigkeitsmerkmal; Arbeitspapier; Auswirkung; Information Retrieval; Informationsbeschaffung; Deutschland
Abstract	"We assess the impact of artificial intelligence (AI) on Germany's labour market applying the methodology on suitability for machine learning (SML) scores established by Brynjolfsson et al., (2018). However, this study introduces two innovative approaches to the conventional methodology. Instead of relying on traditional crowdsourcing platforms for obtaining ratings on automatability, this research exploits the chatbot capabilities of OpenAI's ChatGPT. Additionally, in alignment with the focus on the German labor market, the study extends the application of SML scores to the European Classification of Skills, Competences, Qualifications and Occupations (ESCO). As such, a distinctive contribution of this study lies in the assessment of ChatGPT's effectiveness in gauging the automatability of skills and competencies within the evolving landscape of AI. Furthermore, the study enhances the applicability of its findings by directly mapping SML scores to the European ESCO classification, rendering the results more pertinent for labor market analyses within the European Union. Initial findings indicate a measured impact of AI on a majority of the 13,312 distinct ESCO skills and competencies examined. A more detailed analysis reveals that AI exhibits a more pronounced influence on tasks related to computer utilization and information processing. Activities involving decision-making, communication, research, collaboration, and specific technical proficiencies related to medical care, food preparation, construction, and precision equipment operation receive relatively lower scores. Notably, the study highlights the comparative advantage of human employees in transversal skills like creative thinking, collaboration, leadership, the application of general knowledge, attitudes, values, and specific manual and physical skills. Applying our rankings to German labour force data at the 2-digit ISCO level suggests that, in contrast to previous waves of automation, AI may also impact n" The study refers to the period 2022-2022. (Author's abstract, IAB-Doku)..
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2024/1