Analysis of the Structure and Areas of Use of Artificial Intelligence-Based Solutions for Sustainable Enterprise Development

The study aims to identify and analyze the structural distribution of artificial intelligence-based solution (AIBS) application areas in modern enterprises, with particular emphasis on assessing the degree of concentration of reported AI application domains and their potential contribution to sustainable organizational development. The empirical study was conducted in 2025 using a questionnaire survey administered to 325 enterprises. Respondents were allowed to indicate multiple AI application areas, resulting in 668 valid AI application indications. Descriptive statistics, Pareto analysis, and the Herfindahl–Hirschman Index (HHI) were applied to examine the concentration of reported AI application areas. The results indicate that AI applications are unevenly distributed across organizational functions, with the highest concentration occurring in business and management, education, media and marketing, and information technology and cybersecurity. The calculated HHI value of 0.1639 indicates a moderate concentration of AI application areas, suggesting that organizations prioritize selected domains where AI can generate the greatest organizational and strategic value. From the perspective of sustainable development, the findings indicate that AI deployment supports more efficient resource allocation, organizational adaptability, data-driven decision-making, and digital transformation, which constitute important foundations of sustainable enterprise development. The HHI was used exclusively as a structural measure of concentration and does not assess the level, maturity, intensity, or quality of AI implementation within enterprises. Although the findings relate only to the analyzed sample, the study contributes to the literature by introducing a concentration-based analytical perspective on AI application areas and provides practical guidance for organizations seeking to implement AI in ways that support long-term sustainable development.