Unintended Beneficiaries of Military AI: How Third-Party States Reshape Strategic Stability
DOI:
https://doi.org/10.61732/bj.v4i2.248Keywords:
Military AI, Third-Party Strategy, Dual-Use Technology, Strategic Stability, Artificial IntelligenceAbstract
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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References
Davit Khachatryan, “Beyond the Drone Hype: Unpacking Nagorno-Karabakh’s Real Lessons,” EVN Report, March 27, 2024, https://evnreport.com/opinion/beyond-the-drone-hype-unpacking-nagorno-karabakhs-real-lessons/.
David Kirichenko, “The Rush for AI-Enabled Drones on Ukrainian Battlefields,” Lawfare, December 5, 2024, https://www.lawfaremedia.org/article/the-rush-for-ai-enabled-drones-on-ukrainian-battlefields.
Lara Seligman and Matt Berg, “A $2M Missile vs. a $2,000 Drone: Pentagon Worried over Cost of Houthi Attacks,” POLITICO, December 19, 2023, https://www.politico.com/news/2023/12/19/us-missile-houthi-attacks-00131730.
Department of Defense, 2018 Department of Defense Artificial Intelligence Strategy: Harnessing AI to Advance Our Security and Prosperity (Department of Defense, 2018); Department of Defense, Data, Analytics, and Artificial Intelligence Adoption Strategy (Department of Defense, 2023).
North Atlantic Treaty Organization, Summary of the NATO Artificial Intelligence Strategy (North Atlantic Treaty Organization, 2021), https://www.nato.int/cps/en/natohq/official_texts_187617.htm.
Ingvild Bode, “AI Technologies and International Relations: Do We Need New Analytical Frameworks?,” The RUSI Journal 169, no. 5 (2024): 66–74; Liu Shengxiang and Li Zhihao, “Artificial Intelligence in U.S. Military Strategy: Trends and Impact,” Global Review 16, no. 3 (2024): 51–73+155–156; Mark Massa, “Atlantic Council Commission on Defense Innovation Adoption Interim Report,” Atlantic Council, April 12, 2023; Matthijs M. Maas, “How Viable Is International Arms Control for Military Artificial Intelligence? Three Lessons from Nuclear Weapons,” Contemporary Security Policy 40, no. 3 (2019): 285–311.
Joshua Wild, An Analysis of U.S.-China Arms Race Dynamics, May 2021; Margarita Konaev et al., U.S. and Chinese Military AI Purchases (Center for Security and Emerging Technology, 2023).
Igor Linkov et al., “Comparative, Collaborative, and Integrative Risk Governance for Emerging Technologies,” Environment Systems & Decisions 38, no. 2 (2018); James Johnson, “Revisiting the ‘Stability–Instability Paradox’ in AI-Enabled Warfare,” Review of International Studies, November 20, 2024; Amandeep Singh Gill, “Artificial Intelligence and International Security: The Long View,” Ethics & International Affairs 33, no. 2 (2019).
A. Daly et al., “Artificial Intelligence Governance and Ethics: Global Perspectives,” ArXiv abs/1907.03848 (2019); Lan Xue and Zhenjing Pang, “Ethical Governance of Artificial Intelligence,” Journal of Digital Economy 1, no. 1 (2022): 44–52.
Jeffrey Ding, Technology and the Rise of Great Powers (Princeton University Press, 2024).
Robert Jervis, “Why Nuclear Superiority Doesn’t Matter,” Political Science Quarterly 94, no. 4 (1979): 617–33.
National Research Council et al., Dual-Use Technologies and Export Control in the Post-Cold War Era (National Academies Press, 1994).
Adib Bin Rashid et al., “Artificial Intelligence in the Military,” International Journal of Intelligent Systems (2023).
Koichi Arie, “New Domains and Nuclear Weapons Systems,” in Nuclear Weapons in the 21st Century (National Institute for Defense Studies, 2024).
Staff Writer with AFP, “UAE Invests in Drones, Robots as Unmanned Warfare Takes Off,” February 23, 2022.
Judith Reppy, “Managing Dual-Use Technology in an Age of Uncertainty,” The Forum 4, no. 1 (2006).
Klas Government Inc., “Graphics Processing Unit to Bring AI to the Tactical Edge,” Military & Aerospace Electronics, June 15, 2021.
Mohd Nadeem et al., “Identification of Security Factors in Cloud Computing,” in Computational Intelligence Applications in Cyber Security (CRC Press, 2024).
Bureau of Industry and Security, Addition of Software to Export Control Classification Number 0Y521 Series (U.S. Department of Commerce, 2020).
Bryan Ng et al., “SAF Tests Unmanned Platforms in US Exercise,” The Straits Times, September 25, 2023.
Michael C. Horowitz, The Diffusion of Military Power (Princeton University Press, 2010).
DSEI Japan Executive Committee, “Japan Is Rethinking Defence Technology,” April 7, 2025.
Kosuke Takahashi, “Why Japan Chose Britain and Italy for Its F-X Fighter Program,” The Diplomat, December 9, 2022.
International Comparative Legal Guides, “Cybersecurity Laws and Regulations Japan 2025,” November 6, 2024.
Boeing, “MQ-28 Ghost Bat,” 2025.
Australian Department of Defence, “Australia’s First MQ-4C Triton,” July 31, 2024.
Army Recognition, “Australia Conducts First Flight of MQ-28A Ghost Bat,” June 24, 2025.
Aaron Mehta and Michael Marrow, “Australia’s Ghost Bat Eyes Live Weapons Test,” Breaking Defense, March 25, 2025.
Abhishek Kumar Darbey, “China’s Increasing Global Drone Footprint,” Eurasia Review, November 24, 2024.
Franz-Stefan Gady, “China, Pakistan to Co-Produce Wing Loong II Drones,” The Diplomat, October 9, 2018.
Inder Singh Bisht, “Pakistan, Turkey to Co-Produce Anka Combat Drones,” The Defense Post, August 24, 2021.
Agnes Helou, “UAE Launches ‘Edge’ Conglomerate,” Defense News, November 6, 2019.
Sebastian Strangio, “Singapore’s First F-35 Fighter,” The Diplomat, September 15, 2025.
Hong Liu and Jonathan Goh, “Emerging Business Transnationalism,” Asia Pacific Business Review 30, no. 4 (2022): 640–66.
Dinakar Peri, “India, U.S. Conclude MQ-9B UAV Deal,” The Hindu, October 15, 2024.
Laxman Kumar Behera, “India’s Defence Innovation Performance,” Journal of Strategic Studies 44, no. 6 (2021): 830–53.
C. Vinodan and A. L. Kurian, “Strategic Autonomy and India’s Hedging Policies,” Journal of Asian Security and International Affairs 11, no. 4 (2024): 475–95.
ASML, “Making EUV: From Lab to Fab,” March 30, 2022.
Sebastiaan Bennink, “Netherlands: Unilateral Export Controls,” Global Investigations Review, July 16, 2025.
Dutch Ministry of Foreign Affairs, Dutch Export Policy on Strategic Goods in 2024 (2025).
TrendForce, “SK Hynix U.S. Revenue More than Doubles,” March 5, 2025.
Charles Mok, “The Other Half of ‘Chip 4’,” June 3, 2024.
Aaron Spray, “France Demands 80% Share in FCAS Program,” Aerospace Global News, July 9, 2025.
Kevin Martin and Louis Liversain, “Defense AI in France,” Springer, 2024.
École Polytechnique, “French Minister Boosts AI in Defense,” March 9, 2024.
Thomas U. Berger, “Historical Memory and German Security Policy,” German Politics 6, no. 1 (1997): 39–59.
Bundesministerium der Verteidigung, Digital Transformation Report (2024).
Alexander Luck, “Germany’s Zeitenwende,” 2022.
Rafal Ulatowski, “The Illusion of Germany’s Zeitenwende,” The Washington Quarterly 47, no. 3 (2024): 59–76.
Paul H. Nitze, “Assuring Strategic Stability,” Foreign Affairs 54, no. 2 (1976): 207–32.
Dominika Kunertova, “Drones Have Boots,” Contemporary Security Policy 44, no. 4 (2023): 576–91.
Cuihong Cai and Luyao Zhang, “Escaping the Trap,” North South Journal of Peace and Global Studies, August 2024.
Elke Krahmann, “From State to Non-State Actors,” Palgrave Macmillan, 2005.
David M. Allison and Stephen Herzog, “Artificial Intelligence and Nuclear Weapons Proliferation,” Risk Analysis, September 25, 2025.
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