Mission Command’s Asymmetric Advantage Through AI-Driven Data Management
Artificial intelligence can optimize mission command by condensing multisource field data that ascends the decision chain while distilling concise, decision-quality guidance to the tactical edge. Diverging from existing publications, this article positions information asymmetry as a defining pillar of mission command rather than a limitation. This article presents a condensation-distillation framework that manages complexity through data condensation, AI-driven distillation, and conceptual metrics to assess asymmetric information flows. Drawing on military doctrine, algorithmic-warfare literature, and current modernization programs, military practitioners will engage with a systems-thinking perspective, revealing how AI-enabled command and control can enhance decision clarity and reinforce the intent of mission command.
Authors
- Kate Reed (ORCID: https://orcid.org/0000-0002-9812-3732)
- Sorin Adam Matei (ORCID: https://orcid.org/0000-0001-9706-274X)
Publication Details
- Journal
- The US Army War College Quarterly Parameters
- Published
- 2025-12-17
- DOI
- https://doi.org/10.55540/0031-1723.3370
- Primary Topic
- Military Strategy and Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00