[Purpose/significance] Against the backdrop of intensifying strategic rivalry among major powers over critical technologies and resources, this study investigates strategic layout organization to explore human-AI collaborative
models, so as to help our country acquire superiority in cognitive confrontation. [Method/process] This paper analyses the requirements and characteristics of intelligence cognition processes, categorizing them into three stages: resource perception, knowledge representation, and fact integration. Based on the specific implementation methods of manual approaches and intelligent assistance technologies within each stage, a human-AI collaborative model integrating the strengths of both has been established. Furthermore, this paper evaluates the effectiveness of the constructed human-AI collaborative model by examining the strategic layout of the US project as a case study, comparing the advantages and disadvantages across each intelligence cognition stage. [Result/conclusion] The human-AI collaborative model developed in this paper employs intelligent assistive technologies as the primary approach in resource perception and knowledge representation, supplemented appropriately by manual methods. In the fact compilation stage, manual methods take precedence with intelligent assistive technologies serving as reference. Empirical findings indicate this operational model proves more effective, facilitating the precise and comprehensive mapping of intelligence landscapes for organizing strategic layout.