Esplorare l'impatto dell'adozione dell'intelligenza artificiale sulla soddisfazione lavorativa: Uno studio sui dipendenti tedeschi dei settori manifatturiero e finanziario

Abstract In the age of rapid technological advancement, artificial intelligence (AI) is transforming workplace dynamics, raising critical questions about its impact on job satisfaction across industries. This study investigates how AI adoption influences job satisfaction among German employees in the Finance & Insurance and Manufacturing sectors, examining sectoral differences and focusing on roles associated with AI engagement, demographics, and organizational factors. Drawing on data from an OECD survey of 5,334 observations, including 846 responses from Germany (418 in Finance and 428 in Manufacturing), this research employs Mann-Whitney U and Ordinal Logistic Regression analyses to assess the effects of AI-related roles, demographic variables, and job characteristics on satisfaction levels. Results reveal significant variations in job satisfaction based on AI engagement, with algorithmically managed roles reporting notably lower satisfaction. Additionally, sector-specific impacts of task replacement by AI and demographic factors such as gender and education contribute to differing satisfaction outcomes. These findings underscore the importance of tailored AI implementation, particularly through training and consultation, to support positive employee experiences. Future research could extend these insights by comparing AI adopters and non-adopters across industries to deepen understanding of AI’s broader implications in the workplace.