GAIDS: A Generative AI-Driven Defense Symbiosis Framework for Intelligent Transformation of the Defense Industry

The rapid development of generative artificial intelligence (GAI) is reshaping the global defense industry. Unlike traditional AI, which primarily focuses on identification, prediction, and automated decision-making, generative AI possesses capabilities in knowledge generation, solution generation, combat simulation, equipment design, and intelligent collaboration, driving the evolution of the defense system from informatization to intelligent generative capabilities. Existing research mainly focuses on the application of generative AI in military training, intelligence analysis, and unmanned operations, lacking a systematic theoretical framework. Therefore, this paper proposes the Generative AI-Driven Defense Intelligent Symbiosis Theory (GAIDS), constructing a five-stage closed-loop mechanism of "data-generation-collaboration-execution-feedback," and proposing the Defense Intelligent Symbiosis Index (DISI) model. This research argues that generative AI is not only a military technology tool but also a crucial intelligent hub connecting personnel, equipment, data, and organizations. The GAIDS framework reveals the intrinsic mechanism by which generative AI promotes the optimal allocation of defense resources and enhances military innovation capabilities, providing a theoretical foundation and practical reference for future intelligent defense construction.