Examining the Impact of Generative AI Usage Intensity on Employee Burnout and Job Satisfaction in Hybrid Work Environments

R Abdul Haris; Faizah Syihab; Aminuddin

doi:10.59890/ijaeam.v4i3.176

Authors

R Abdul Haris Universitas Panca Marga
Faizah Syihab Universitas Trilogi
Aminuddin Universitas Islam Sumatera Utara

DOI:

https://doi.org/10.59890/ijaeam.v4i3.176

Keywords:

Generative AI, Burnout, Job Satisfaction, Hybrid Work, Human Resource Management

Abstract

The rapid adoption of Generative AI in hybrid work environments has introduced new dynamics in employee performance and well-being, particularly concerning burnout and job satisfaction. This study aims to examine the impact of Generative AI usage intensity on employee burnout and job satisfaction. A quantitative approach was employed using a survey method, with data collected through structured questionnaires from 120 hybrid employees in East Java who actively use Generative AI in their work. Data analysis was conducted using multiple linear regression to test the relationships between variables. The findings reveal that higher intensity of Generative AI usage significantly reduces employee burnout and enhances job satisfaction. These results suggest that Generative AI serves as an effective tool in improving work efficiency and supporting employee well-being in hybrid settings. This study contributes to the development of human resource management literature by highlighting the role of AI integration in shaping positive organizational outcomes and offers practical insights for organizations in optimizing AI utilization strategies

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