How Bureaucratic Shuffling in JAIC and CDAO Obscured the Real Challenges of Government AI Adoption

The Department of Defense (DoD) established the Joint Artificial Intelligence Center (JAIC) and later consolidated it into the Chief Digital and Artificial Intelligence Office (CDAO) to accelerate AI adoption across the military. However, structural misalignment, bureaucratic inertia, cultural resistance, and limited enforcement power undermined their effectiveness. Despite receiving Congressional funding, JAIC and CDAO struggled to integrate artificial intelligence (AI) into military operations as a result of fragmented governance, inter-service rivalries, and an absence of direct control over AI investments. Bureaucratic layers expanded, and “flyaway” teams did not have the authority or resources to deploy operational capacities. Additionally, cultural friction led to resistance from military branches while high attrition rates weakened institutional knowledge. This paper distills key lessons from JAIC and CDAO to guide the design and execution of future government units, ensuring they are strategically positioned, effectively governed, and empowered to drive lasting impact.

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Publication Details

Journal
Stanford Digital Repository
Published
2025-05-08
DOI
https://doi.org/10.25740/xn396rv2875
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
0.00
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article

How Bureaucratic Shuffling in JAIC and CDAO Obscured the Real Challenges of Government AI Adoption

Stanford Digital Repository
RNA Research and Splicing
article

How Bureaucratic Shuffling in JAIC and CDAO Obscured the Real Challenges of Government AI Adoption

article en

Abstract

The Department of Defense (DoD) established the Joint Artificial Intelligence Center (JAIC) and later consolidated it into the Chief Digital and Artificial Intelligence Office (CDAO) to accelerate AI adoption across the military. However, structural misalignment, bureaucratic inertia, cultural resistance, and limited enforcement power undermined their effectiveness. Despite receiving Congressional funding, JAIC and CDAO struggled to integrate artificial intelligence (AI) into military operations as a result of fragmented governance, inter-service rivalries, and an absence of direct control over AI investments. Bureaucratic layers expanded, and “flyaway” teams did not have the authority or resources to deploy operational capacities. Additionally, cultural friction led to resistance from military branches while high attrition rates weakened institutional knowledge. This paper distills key lessons from JAIC and CDAO to guide the design and execution of future government units, ensuring they are strategically positioned, effectively governed, and empowered to drive lasting impact.

Stanford Digital Repository
Stanford University (US)
Openalex Percentile: Top 61%
RNA Research and Splicing
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