Unintended Beneficiaries of Military AI: How Third-Party States Reshape Strategic Stability

While major powers such as the United States, China, and Russia are rapidly advancing military AI, with initiatives like NATO’s AI Strategy shaping a new competitive landscape, this study examines a critical yet underexplored question: How do third-party states acquire strategic autonomy in the military AI era, and how their behavior reshapes strategic stability? Using a qualitative case study approach, this research employs a two-dimensional analytical framework characterized by technological capability foundation and strategic positioning choice to analyze strategic decisions across multiple third-party states. The study finds that four traits of military AI reshape their strategic options: its general-purpose nature lowers entry barriers across domains; dual-use ambiguity expands acquisition pathways; low marginal cost enables rapid capability diffusion; and data-dependency turns local datasets into critical absorptive assets. Together, these properties erode traditional great-power technology monopolies. Based on these features, five patterns of third-party behavior are emerging. The US allies, such as Japan and Australia, build interdependence through co-development and data sharing. Transfer recipients like Pakistan and the UAE localize AI by exploiting its general-purpose character. Hedgers such as Singapore and India diversify through flexible procurement of software-layer services. Chokepoint controllers, including the Netherlands and South Korea, gain influence via critical supply-chain roles. Autonomous developers like France pursue strategic independence. Overall, regarding strategic stability, third-party behavior creates dual effects: power decentralization enhances constraint mechanisms through supply chain interdependence, yet simultaneously introduces destabilizing forces such as compressed decision-making timelines. Military AI diffusion is facilitating a technology-driven, quasi-multipolar security order.

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Publication Details

Journal
BTTN Journal
Published
2025-12-31
DOI
https://doi.org/10.61732/bj.v4i2.248
Primary Topic
Cybersecurity and Cyber Warfare Studies
Type
article
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article

Unintended Beneficiaries of Military AI: How Third-Party States Reshape Strategic Stability

Cuihong Cai, Luyao Zhang
BTTN Journal
Cybersecurity and Cyber Warfare Studies
article

Unintended Beneficiaries of Military AI: How Third-Party States Reshape Strategic Stability

Cuihong Cai, Luyao Zhang
article en

Abstract

While major powers such as the United States, China, and Russia are rapidly advancing military AI, with initiatives like NATO’s AI Strategy shaping a new competitive landscape, this study examines a critical yet underexplored question: How do third-party states acquire strategic autonomy in the military AI era, and how their behavior reshapes strategic stability? Using a qualitative case study approach, this research employs a two-dimensional analytical framework characterized by technological capability foundation and strategic positioning choice to analyze strategic decisions across multiple third-party states. The study finds that four traits of military AI reshape their strategic options: its general-purpose nature lowers entry barriers across domains; dual-use ambiguity expands acquisition pathways; low marginal cost enables rapid capability diffusion; and data-dependency turns local datasets into critical absorptive assets. Together, these properties erode traditional great-power technology monopolies. Based on these features, five patterns of third-party behavior are emerging. The US allies, such as Japan and Australia, build interdependence through co-development and data sharing. Transfer recipients like Pakistan and the UAE localize AI by exploiting its general-purpose character. Hedgers such as Singapore and India diversify through flexible procurement of software-layer services. Chokepoint controllers, including the Netherlands and South Korea, gain influence via critical supply-chain roles. Autonomous developers like France pursue strategic independence. Overall, regarding strategic stability, third-party behavior creates dual effects: power decentralization enhances constraint mechanisms through supply chain interdependence, yet simultaneously introduces destabilizing forces such as compressed decision-making timelines. Military AI diffusion is facilitating a technology-driven, quasi-multipolar security order.

BTTN JournalVol. 4(2)
Fudan University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 18%
Cybersecurity and Cyber Warfare Studies
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Unintended Beneficiaries of Military AI: How Third-Party States Reshape Strategic Stability — Cuihong Cai, Luyao Zhang · BTTN Journal (2025) | TGRS Research Map | TGRS