Joint Force Quarterly
Abstract
The rapid advancement of artificial intelligence (AI) and machine learning (ML) is transforming modern warfare, particularly in decision-making. To maintain its strategic edge, the U.S. Department of Defense (DoD) must accelerate AI/ML adoption within its decision-making. This paper examines the organizational design factors that influence AI/ML integration in the Joint Force, applying a modified Star Model framework that includes People, Structure, Processes, Incentives, and Leadership & Management.
Effective AI/ML adoption is not just a technological challenge, but a behavioral and organizational one. Possessing AI tools alone is insufficient; realizing their full potential requires adapting how personnel interact with AI/ML, how decisions are structured, and how incentives shape adoption. Without deliberate adjustments in these areas, AI/ML will remain underutilized, limiting the speed and effectiveness of military decision-making.
This paper highlights the imperative for the DoD to integrate AI/ML at scale to enhance decision superiority. Understanding and addressing the key factors that drive adoption will ensure the Joint Force can leverage AI/ML effectively, optimize decision-making, and maintain a strategic advantage in future conflicts.
Recommended Citation
Michael Silver, Kellen Sick, Matthew Snyder, Justin Farnell & Justin E. Farnell, "Cognitive Warfare and Organizational Design: Leveraging AI to Reshape Military Decision-Making," Joint Force Quarterly 119 (4th Quarter 2025), 23-32, https://digitalcommons.ndu.edu/joint-force-quarterly/vol119/iss4/5.
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