The Influence of Generative AI Tools on Workplace Productivity and Job Satisfaction
DOI:
https://doi.org/10.70917/ijcisim-2026-3228Keywords:
Generative Artificial Intelligence, Workplace Productivity, Job Satisfaction, Employee Performance, Human–AI Collaboration, Digital Transformation, Organizational Performance, Artificial IntelligenceAbstract
The modern workplace is being reshaped by GenAI (generative AI) which is offering tools to automate repetitive tasks, enhance decision making and knowledge management. The modern workplace is undergoing a transformation with the power and potential of generative artificial intelligence (gAI) to automate repetitive tasks, prompt improved decision-making and simplify knowledge management. Adopting AI-powered writing assistants and coding platforms, virtual assistants, and content generation systems are becoming popular in several industries to drive business activities. The study investigates the impact of generative AI tools on productivity and job satisfaction, exploring how the technology impacts employee performance, work productivity, team collaboration, and overall workplace experience. The study is quantitative research design using structured survey design for data collection of employees in the organizations that have adopted the Generative AI application. Descriptive analysis, correlation, and regression analysis are performed to analyze the relationship between the use of AI and productivity and employee satisfaction. The results show that generative AI has the potential to have a profound impact on productivity, saving time on repetitive tasks, boosting the quality of work products, and aiding in information retrieval and data-driven decision-making. In addition, AI tools, when used correctly, also lead to more flexibility and better work-life balance among employees. But, issues like job displacement, skill obsolescence, data privacy, reliance on AI-generated outputs, and the need for ongoing upskilling continue to be key concerns that impact employee perceptions and satisfaction. The study calls for the adoption of responsible AI governance to maximise the value from generative AI, and recommends that organisations should seek to invest in upskilling their staff to better understand generative AI, create opportunities for human-to-AI collaboration and ensure that AI is used in ethical and transparent ways. It is one of the newest empirical research on how generative AI can positively and negatively impact organizational productivity and employee wellbeing, and is part of the wider research on the digital workplace transformation. Takeaways from the results are relevant and applicable to managers, HR professionals, policy makers, and organizational leaders making good choices on how to implement sustainable strategies on how to leverage generative AI to ensure productive, engaged and satisfied workforces.