ЗАСТОСУВАННЯ ТЕХНОЛОГІЙ ШТУЧНОГО ІНТЕЛЕКТУ В УПРАВЛІННІ ІТ-ПРОЄКТАМИ: МОЖЛИВОСТІ ТА ВИКЛИКИ, APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN IT PROJECT MANAGEMENT: OPPORTUNITIES AND CHALLENGES

<jats:p>The article provides a systematic analysis of the opportunities and challenges of applying artificial intelligence (AI) technologies in IT project management. The author focuses on four key functional areas of project management: planning and effort estimation, risk forecasting, resource allocation optimisation, and decision-making support. Given the rapid growth of project data volumes, the shortening life cycle of software products, and the rising customer demands for development speed and quality, special attention is paid to the advantages of AI in the context of automating routine operations, predictive analytics, and increasing the productivity of distributed teams. The study reveals that AI technologies, particularly machine learning, natural language processing, and predictive analytics, significantly reduce the time spent on routine managerial tasks, improve the accuracy of effort and deadline estimates, and enable proactive risk identification through the analysis of historical project data. At the same time, the concept of agentic AI and the levels of its autonomy in project management are considered, ranging from advisory assistants to systems capable of partially performing the functions of a project manager. The article summarises recommendations regarding the appropriateness of implementing AI tools depending on the project's specificity, team maturity, data quality, and customer expectations. The key challenges are analysed, including problems of data quality and availability, ethical and legal constraints, the shortage of qualified personnel, and the need to rethink the competency profile of the project manager, with an emphasis on the growing role of soft skills, AI literacy, and adaptability. The findings offer practical value for project managers, IT company executives, and researchers in the field of project management who seek to optimise their approaches to implementing IT projects in accordance with the demands of the modern digital environment. The paper also highlights that the responsible adoption of AI contributes to building a culture of data-driven decision-making, transparency, and continuous improvement. Moreover, strategic considerations of integrating AI frameworks into various organisational contexts are discussed, alongside the importance of stakeholder engagement, ethical governance, and human oversight, which remain fundamental to achieving not only operational efficiency but also long-term organisational resilience and competitiveness.</jats:p>