The Impact of Artificial Intelligence on Performance & Job Satisfaction in Bengaluru, India

Abstract

In Bengaluru, India, this study investigates how employee performance and job satisfaction are affected by the use of artificial intelligence (AI) in the workplace. As technology develops quickly, businesses are implementing AI to streamline processes. This study looks into how such adoption affects the performance of specific employees. Using AI techniques, a quantitative survey of 150 workers from a range of industries was carried out. The findings imply that while job satisfaction results differ based on the type of AI implementation and employee roles, AI improves performance by increasing productivity and efficiency. The study advances knowledge of the human-AI relationship and makes recommendations for incorporating AI in ways that promote corporate objectives and worker welfare.

Introduction

Overview

Artificial Intelligence (AI) is transforming industries by automating tasks and enhancing decision-making. Bengaluru, as India’s tech hub, is experiencing rapid AI adoption in sectors like IT, finance, and healthcare. This study explores how AI affects employee performance and job satisfaction, particularly focusing on knowledge workers in Bengaluru.

Research Goals

• Analyze the effect of AI on employee performance

• Examine AI's impact on job satisfaction

• Identify mediating factors such as training and role clarity

Key Theories and Hypotheses

• H1: AI adoption positively correlates with employee performance

• H2: AI significantly affects job satisfaction

• H3: Training and role clarity mediate the AI-job satisfaction relationship
  Grounded in Herzberg’s Two-Factor Theory, the study emphasizes the balance between task efficiency and psychological well-being.

Methodology

• Design: Quantitative, correlational and descriptive

• Sample: 50 professionals in Bengaluru (IT, healthcare, finance, education, etc.)

• Tools: Online questionnaire using Paul Spector’s Job Satisfaction Survey and performance self-assessment

• Analysis: SPSS for regression and correlation analysis

Findings

1. Performance (H1 Supported)

   • Strong positive correlation between AI use and employee performance (r = 0.61, p < 0.01)

   • Benefits included task efficiency, improved accuracy, and more time for creative/strategic work

2. Job Satisfaction (H2 Supported, with Nuance)

   • Moderate positive correlation (r = 0.42, p < 0.05)

   • Higher satisfaction in managerial/analytical roles

   • Lower satisfaction and job insecurity in repetitive roles

3. Mediators (H3 Supported)

   • Role clarity and AI training significantly enhanced satisfaction

   • Employees with clear understanding of AI tools and proper training showed higher morale

Discussion

• AI enhances productivity, but the human experience depends on how AI is introduced

• Psychological impacts like anxiety or motivation loss can occur without support

• Emphasis on human-centered AI strategies—including transparent communication, training, and involving employees in AI deployment—is crucial

Challenges & Limitations

• Digital divide may have excluded less tech-savvy professionals

• Self-selection bias due to voluntary survey participation

• Limited depth in qualitative insights due to the format

Conclusion

In Bengaluru, India, the current study examined how artificial intelligence (AI) affected worker performance and job satisfaction. Understanding how AI affects human aspects is crucial for both organisational success and employee well-being as these technologies become more and more integrated into modern workplaces. The results of this study demonstrate that AI can greatly improve worker performance by increasing task accuracy, productivity, and efficiency when used properly. The connection between AI and job satisfaction is more nuanced, though. Some workers gain from less work and improved assistance with decision-making, but others worry about their positions and their relevance. The way AI is implemented in an organisation seems to have a direct impact on job satisfaction results, particularly when it comes to role clarity, training, and communication. This study also shows that the assistance that employees receive has an impact on how they see AI. Positive results are more likely when organisations provide employees the right direction, help them grow their skills, and involve them in the transformation process. According to the mediating function of training and clarity, the impact of AI depends on the implementation\'s context and strategy rather than whether it inevitably increases or decreases happiness.

Copyright

Copyright © 2025 Jove Carolin J. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.