Exploring the Relationship between AI Technology Implementation in Banks and Work Stress among Bank Employees: A Comprehensive Analysis

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Lipinraj K.
S. Madasamy


In recent years, the integration of Artificial Intelligence (AI) technology within banking institutions has rapidly evolved, promising enhanced operational efficiency and customer service. However, the implications of this technological advancement on the well-being of bank employees, particularly concerning work stress, remain understudied. This study aims to bridge this gap by investigating the intricate relationship between AI technology adoption in banks and the prevalence of work-related stress among employees. Employing a mixed-methods approach, this research will initially conduct a comprehensive review of existing literature, examining the theoretical frameworks and empirical evidence surrounding AI implementation in the banking sector and its potential impact on employee stress levels. Subsequently, primary data will be collected through surveys and interviews conducted among bank employees across various hierarchical levels and departments. The survey will utilize validated scales to measure perceived work stress, attitudes towards AI technology, and job satisfaction. Additionally, semi-structured interviews will provide qualitative insights into employees' perceptions, experiences, and coping strategies regarding AI integration and its influence on their work environment. The collected data will undergo rigorous analysis, employing both quantitative statistical techniques and qualitative thematic analysis. Quantitative analysis will explore correlations, mediations, and moderations between variables, shedding light on the direct and indirect effects of AI technology adoption on work stress levels. Meanwhile, qualitative analysis will delve deeper into the nuanced experiences and perspectives of bank employees, enriching the understanding of the mechanisms underlying the observed relationships. Findings from this study are expected to contribute to both academic knowledge and practical implications. By elucidating the complex interplay between AI technology implementation and employee well-being in the banking sector, this research will provide valuable insights for policymakers, bank management, and human resource practitioners. Moreover, it will facilitate the development of evidence-based interventions and strategies aimed at mitigating work-related stress and optimizing the integration of AI technologies while fostering a healthier work environment for bank employees.

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