Objective: Rapid technological advancements, particularly in artificial intelligence (AI), have significantly transformed military decision-making, especially in electronic warfare (EW) environments. This study aims to explain the applications of AI in decision support within EW command and control (C2) systems and to analyze its role in improving the speed, accuracy, and quality of operational decisions.
Methodology: This research is applied in purpose and descriptive–analytical in method. Data were collected through library and documentary research, reviewing domestic and international scientific sources published between 2022 and 2025 (1401–1404 SH). Conceptual and inferential analysis was employed to extract key variables, and qualitative coding and categorization were conducted using Atlas.ti software. Based on this analysis, a conceptual framework was developed.
Findings: The results indicate that AI applications in EW C2 systems can be explained through four main components: intelligent data analysis, information integration and organization, intelligent decision support, and improved decision-making performance. The first two components play foundational roles, the third functions as an intermediary, and the fourth represents the ultimate outcome.
Conclusion: Purposeful integration of AI into EW C2 architectures enhances situational awareness, reduces human error, accelerates decision cycles, and optimizes resource allocation, ultimately improving operational decision effectiveness in electronic warfare.