From Code to Combat: The Militarization of AI and the Death of Multilateralism

The New Face of Warfare: 'Strategic Capture'

The relationship between governments and artificial intelligence companies is entering a new phase. By mid-2026, the distinction between civilian AI innovation and military infrastructure has become increasingly blurred. What once resembled regulatory influence over technology firms is evolving into what analysts describe as "strategic capture"—a model in which states assert direct authority over critical AI capabilities considered essential to national security.

This shift was highlighted by the signing of National Security Presidential Memorandum 11 (NSPM-11) in the United States on June 5, 2026. The directive accelerates AI adoption across national security agencies and places new expectations on government contractors. It signals a broader trend: governments increasingly view advanced AI systems as strategic assets that cannot remain fully governed by private-sector ethical frameworks alone.

As a result, military organizations are seeking greater access to foundational AI models, while technology companies face growing pressure to align their products with national security priorities.

The Death of Multilateralism

The vision of a universal international framework for AI governance is weakening rapidly. Global powers increasingly prioritize strategic advantage over collective restraint, making consensus-driven approaches difficult to sustain.

The divide became particularly visible during international discussions on military AI governance in early 2026, where major powers demonstrated reluctance to commit to common standards that could limit future technological capabilities.

Several trends illustrate this shift:

• Declining Appetite for Restraint: Nations view AI leadership as a core component of future economic and military power.
• Reduced Reliance on Global Institutions: International organizations struggle to keep pace with rapidly evolving AI capabilities and geopolitical competition.
• Operational Priorities Over Diplomacy: Military and security considerations increasingly outweigh long-term multilateral negotiations.

Blacklists and the Governance Offensive

Competition between major powers is expanding beyond research and development into trade policy, standards-setting, and technology governance.

The United States has continued to expand restrictions on entities viewed as connected to foreign military interests, while China has pursued policies designed to strengthen domestic technological sovereignty and reduce reliance on foreign platforms.

These measures demonstrate how AI has become not only a technological issue but also a geopolitical instrument. Access to advanced chips, models, data infrastructure, and standards is now deeply connected to national strategic interests.

China's AI Governance Strategy

China's evolving AI governance framework places strong emphasis on national sovereignty, security, and alignment with state priorities. Rather than focusing exclusively on domestic regulation, Beijing is increasingly promoting its governance approach internationally through regional partnerships and technology initiatives.

Programs launched across Asia seek to expand cooperation in AI deployment while encouraging compliance with Chinese regulatory standards. This approach allows China to shape emerging AI ecosystems and influence how governance frameworks evolve beyond its borders.

Europe's Pursuit of 'Patriotic Tech'

Europe finds itself navigating a complex position between American security-driven AI integration and Chinese sovereignty-focused governance models.

Although the European Union remains committed to principles such as transparency, accountability, and human-centric AI development, strategic concerns are reshaping priorities. Investment in defense technology, cybersecurity, and dual-use AI startups has increased significantly as European policymakers seek to reduce dependence on external powers.

The challenge facing Europe is balancing two objectives simultaneously: preserving democratic oversight and ethical safeguards while building sufficient technological and defense capabilities to remain strategically independent in an increasingly polarized global environment.

Conclusion

Artificial intelligence is no longer merely a commercial technology sector. It has become a central pillar of national security strategy, economic competition, and geopolitical influence. As governments assert greater control over advanced AI capabilities and international consensus weakens, the world is entering a new era where technological power, military readiness, and political sovereignty are becoming inseparable.

The coming decade will likely determine whether AI governance evolves through cooperation, competition, or confrontation—and how societies balance innovation, security, and democratic accountability in the process.