In future battlefields, where competition between major powers and weaker actors is increasingly pronounced, emerging technologies have become strategic instruments for mitigating military and informational asymmetries. Generative artificial intelligence is one such transformative technology, offering less-capable forces opportunities to partially offset the advantages of superior adversaries through the generation of decision-support content, the simulation of diverse operational scenarios, and the creation of synthetic battlefield environments. In asymmetric operations, where nonlinear approaches, deception, and cognitive warfare play pivotal roles, Generative artificial intelligence can facilitate the development of flexible operational plans, the anticipation of adversary behavior, and the generation of situational awareness based on decentralized data. For comparatively weaker forces, these capabilities may serve as a force multiplier, potentially challenging the advantages of the conventional command-and-controlc structures employed by superior powers. This study examines the functions and opportunities associated with the application of Generative artificial intelligence in command and control and elucidates the need to leverage this technology in managing command-and-control processes within asymmetric operational environments. The research is applied-developmental in nature and adopts a mixed-methods approach within a descriptive-analytical framework. Data were collected through both library-based research and fieldwork, including interviews and questionnaires. Qualitative data were analyzed using content analysis, while quantitative data were processed and analyzed using quantitative data analysis software. The validity of the questionnaire was established through content validity assessment, and its reliability was evaluated using Cronbach’s alpha coefficient. Ultimately, based on the research findings, a conceptual model comprising six components and 57 indicators was developed, evaluated, and presented following final validation and approval.