THE IMPACT OF ARTIFICIAL INTELLIGENCE TOOLS ON EMPLOYEE PRODUCTIVITY AND WORK EFFICIENCY: A CASE STUDY IN THE PRIVATE SECTOR IN THE REPUBLIC OF NORTH MACEDONIA
Keywords:
Artificial Intelligence, employee productivity, job satisfaction, digital transformation, organizational performance, AI adoptionAbstract
Artificial Intelligence (AI) has rapidly evolved from an emerging technology into an essential component of modern business operations. Organizations increasingly integrate AI-powered applications such as ChatGPT, Microsoft Copilot, Gemini, and other intelligent systems into everyday work processes to improve efficiency, automate repetitive tasks, and support decision-making. As a result, AI adoption has become one of the key drivers of digital transformation and organizational competitiveness.
This study examines the impact of Artificial Intelligence tools on employee productivity and work efficiency in the private sector in the Republic of North Macedonia. The research investigates whether the regular use of AI contributes to higher productivity, increased job satisfaction, improved work quality, and reduced workload. A quantitative cross-sectional survey was conducted among 113 employees working in private companies from various industries, including information technology, finance, marketing, education, and administrative services.
Data were collected using a structured questionnaire consisting of demographic questions and twenty-five statements measured on a five-point Likert scale.
The findings indicate a high level of AI adoption among employees, with more than two-thirds of respondents reporting daily or weekly use of AI tools. Employees generally expressed positive attitudes toward AI implementation. The highest average score was recorded for future perspectives regarding AI integration (Mean = 4.07), while perceived productivity (Mean = 4.05) and job satisfaction (Mean = 4.05) also received high evaluations. Pearson correlation analysis revealed a strong positive relationship between employee productivity and job satisfaction (r = 0.80), suggesting that employees who perceive AI as improving their productivity also report higher levels of job satisfaction. The results demonstrate that Artificial Intelligence represents a significant organizational resource capable of improving employee performance and supporting organizational effectiveness. Nevertheless, successful AI implementation requires continuous employee training, managerial support, and responsible organizational policies to maximize its long-term benefits
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