The main objective of this study is to conduct a comprehensive and systematic analysis of the complex stakeholder relationship patterns within Iran’s automotive artificial intelligence (AI) ecosystem, and to accurately identify the concentration points of power, interest misalignments, and the potential capacities for strategic convergence among stakeholders. To achieve this, a mixed‑method (qualitative–quantitative) research design grounded in futures studies was employed.In the first phase, a systematic literature review combined with expert panel consultations involving industry and academic specialists led to the identification of 48 key stakeholders along with their core objectives. In the second phase, the required quantitative data were collected through standardized questionnaires based on the Influence–Dependence Matrix and the Actors–Objectives Position Matrix, and then analyzed using the mathematical modeling capabilities of the MACTOR software.The findings, in the internal analysis section, indicate that the network structure is highly unbalanced; specifically, 66.7% of stakeholders fall within the quadrant of “strategic isolation,” while the only actor positioned in the “mutual dependence” category is the automakers’ institution. Moreover, the external analysis reveals the formation of a powerful coalition within an industrial–governmental bloc (including automakers, the Ministry of Communications, the Ministry of Industry, Mine and Trade, and the military sector), primarily aligned around hardware-oriented objectives such as infrastructure development and data security. In contrast, actors such as media, universities, and civil society organizations demonstrate minimal convergence with these strategic objectives.