This study examines the role of artificial intelligence (AI) applications in the management of construction projects, structural engineering projects, and water and water resources engineering projects in Libya, with a focus on their potential to support planning and decision-making, control project plans, allocate resources, conduct real-time monitoring, and proactively identify risks. The study also highlights how these technologies can be utilized in managing water infrastructure projects, including water supply network modeling, prediction of failures and leaks, improving the efficiency of water treatment and distribution, and real-time quality monitoring. The study adopted a descriptive-analytical approach and relied, in its field component, on a questionnaire, with 72 valid responses available for analysis. The instrument was designed around four dimensions based on the SWOT framework: strengths, weaknesses, opportunities, and threats. The findings showed that the strengths dimension received a high level of importance, with project plan control and improved communication identified among the most prominent positive aspects. In contrast, some weaknesses, particularly cost and legal issues, were considered to be of moderate importance. AI-related opportunities also received a high level of importance, particularly real-time monitoring and proactive risk identification. Conversely, the findings revealed threats associated with excessive reliance on technology, information security, data privacy, bias, and resistance to change. The results indicate that the practical value of AI cannot be achieved merely through the introduction of the technology; rather, it requires appropriate data, professional training, clear governance, and maintaining human and engineering decision-making at the center of the process............... Keywords:........... Artificial intelligence; Construction project management; Project execution; BIM; Risk management; Libya.