Balancing AI Engagement: How AI Experience and Satisfaction Reduce Technostress among Indonesian Employees

This study explores the impact of AI experience, AI-based work engagement, and AI-based satisfaction on technostress among employees in Indonesia. It addresses the issue of how AI adoption affects workplace stress and employee satisfaction, offering insights into mitigating technostress through AI integration. The study uses a quantitative, cross-sectional design and multiple regression analysis to test hypotheses. Data was collected from employees across Indonesia via an online survey distributed through Google Forms. The findings show that AI experience has the strongest negative effect on technostress, meaning greater familiarity with AI tools reduces stress. In contrast, AI-based work engagement is positively linked to technostress, suggesting that higher engagement may increase stress. AI-based satisfaction is also negatively related to technostress, highlighting the importance of user-friendly systems. The study is limited by its cross-sectional design, which restricts conclusions about long-term effects, and the convenience sampling method, which may not fully capture the diversity of organizational contexts. To reduce technostress, organizations should focus on enhancing AI experience through training, managing engagement to prevent burnout, and ensuring AI systems are user-friendly. This study contributes to the under-explored area of AI’s role in technostress, specifically in Indonesia, providing unique insights into AI’s influence on workplace dynamics.