Artificial Intelligence (AI) tools are increasingly being adopted in organizations to improve productivity and automate routine tasks. This study examines the impact of AI tools on employee stress and work efficiency among IT employees. The main objective of the study is to analyze whether the use of AI technologies reduces workload and enhances employee performance or creates additional stress due to technological changes and job insecurity. The research is based on primary data collected through a structured questionnaire distributed to employees working in IT companies. A quantitative research approach was used, and responses were analyzed to understand the relationship between AI tool usage, employee stress levels, and work efficiency. The study considers factors such as workload management, task completion speed, learning adaptability, and employee perceptions toward AI tools. The findings indicate that AI tools significantly improve work efficiency by reducing manual effort, increasing accuracy, and enabling faster task completion. However, the study also reveals that some employees experience moderate stress due to the need to continuously learn new technologies and concerns about job stability. Overall, the results suggest that while AI tools contribute positively to organizational productivity, proper training and support are essential to minimize employee stress and ensure effective adoption of AI technologies in the workplace.