Ryan, GarrettSonnikova, Marina2026-01-122026-01-122024https://go.griffith.ie/handle/123456789/634This research investigates how Generative AI technologies, such as ChatGPT and similar tools, may enhance project management efficiency within the corporate strategies of global IT firms. The study focuses on how these technologies impact decision-making, risk management, and project overall optimization, among other areas of project management. Experts with experience using Generative AI to project management are consulted through semi- structured interviews and direct observation, as part of a qualitative data collection approach. Grounded Theory methodology is employed for data analysis, facilitating the development of new theoretical insights based on empirical evidence. This approach enables a deep understanding of the impact of Generative AI on project management practices in the quickly evolving IT sector. Incorporating Generative AI into project management leads to significant improvements in decision-making efficiency and the optimization of routine tasks, which in turn strengthens strategic planning. However, cautious risk management, data security, and human monitoring are required for successful adoption. Although the Cynefin Framework and GenAI together can enhance analytical capabilities, many firms continue to rely on on intuitive decision-making. Finally, incorporating Generative AI into project management may greatly enhance effectiveness, the quality of decisions made, and strategic flexibility. Nevertheless, realizing these advantages necessitates careful risk management, reliable data practices, and a strategic approach to Generative AI integration. Companies that implement Generative AI effectively might achieve a competitive advantage by improving their adaptability, innovation, and response to changing market conditions.Project ManagementArtificial IntelligenceThesis