Strategic Discontinuity in AI-Enabled Warfare: Machine-Speed vs Human-Speed OODA

This working paper analyzes a structural transformation in contemporary warfare driven by artificial intelligence, autonomous weapon systems, and machine-speed command-and-control architectures. As decision cycles increasingly operate at machine tempo—often beyond the limits of human cognition—existing legal, doctrinal, and institutional frameworks grounded in human-speed judgment face growing strain. The paper introduces the concept of “strategic discontinuity” to capture the co-evolutionary breakdown of tempo, authority, and legitimacy that emerges when military effectiveness depends on machine-speed autonomy while governance regimes continue to mandate human-centered oversight and accountability. Through analysis of OODA loop redistribution, self-accelerating dynamics of military AI, and illustrative cases including automated air and missile defense, algorithmically accelerated kill chains, and swarm-based autonomy, the paper demonstrates how this discontinuity manifests across operational, legal, and strategic dimensions. The study further develops governance pathways aimed at mitigating—rather than resolving—the gap between human cognition and machine-tempo operations. These include risk-tiered autonomy, layered human oversight architectures, algorithmic rules of engagement (A-ROE), auditability and reversibility requirements, and international confidence-building measures. Together, these frameworks offer a pragmatic foundation for preserving meaningful human responsibility and strategic stability in an era of increasingly automated conflict.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-12
DOI
https://doi.org/10.5281/zenodo.18089641
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Strategic Discontinuity in AI-Enabled Warfare: Machine-Speed vs Human-Speed OODA

Shaoyuan Wu
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

Strategic Discontinuity in AI-Enabled Warfare: Machine-Speed vs Human-Speed OODA

Shaoyuan Wu
article en

Abstract

This working paper analyzes a structural transformation in contemporary warfare driven by artificial intelligence, autonomous weapon systems, and machine-speed command-and-control architectures. As decision cycles increasingly operate at machine tempo—often beyond the limits of human cognition—existing legal, doctrinal, and institutional frameworks grounded in human-speed judgment face growing strain. The paper introduces the concept of “strategic discontinuity” to capture the co-evolutionary breakdown of tempo, authority, and legitimacy that emerges when military effectiveness depends on machine-speed autonomy while governance regimes continue to mandate human-centered oversight and accountability. Through analysis of OODA loop redistribution, self-accelerating dynamics of military AI, and illustrative cases including automated air and missile defense, algorithmically accelerated kill chains, and swarm-based autonomy, the paper demonstrates how this discontinuity manifests across operational, legal, and strategic dimensions. The study further develops governance pathways aimed at mitigating—rather than resolving—the gap between human cognition and machine-tempo operations. These include risk-tiered autonomy, layered human oversight architectures, algorithmic rules of engagement (A-ROE), auditability and reversibility requirements, and international confidence-building measures. Together, these frameworks offer a pragmatic foundation for preserving meaningful human responsibility and strategic stability in an era of increasingly automated conflict.

Zenodo (CERN European Organization for Nuclear Research)
Global Policy Institute (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 26%
Ethics and Social Impacts of AI
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Strategic Discontinuity in AI-Enabled Warfare: Machine-Speed vs Human-Speed OODA — Shaoyuan Wu · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS