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AI and the national security calculus

11 Mar 2026
2 min

Anthropic Episode and AI National Security Concerns

The Anthropic incident highlights significant concerns in AI development and national security. Anthropic, an American AI lab, is urging that three Chinese AI labs—DeepSeek, MoonshotAI, and MiniMax—be regarded as national security threats. This stems from allegations that these labs have distilled frontier AI models from American companies, using deceptive techniques to mask their activities.

Key Developments

  • The U.S. military reportedly used AI models from Anthropic and other labs in military operations, fast-tracking processes from target identification to strike.
  • The Pentagon has labeled Anthropic as a "supply chain" risk, a status typically reserved for foreign adversaries, raising concerns about the use of its technology in military operations.
  • This designation is currently being contested in court.

Implications for AI Development

  • AI models, unlike nuclear technologies, are dual-use and comparable to semiconductors, with military and civilian applications.
  • Restrictions and export controls are ineffective, as demonstrated when DeepSeek achieved comparable model performance at lower costs post-restriction.
  • The narrative of equating AI queries to weapons proliferation lacks strong foundation, especially when U.S. labs' models are used for military purposes.

Challenges in Restricting AI Technology

  • Controlling the diffusion of AI is challenging due to talent mobility and the circumvention of semiconductor restrictions.
  • Distillation, a technique for creating AI models, presents a new challenge, with workarounds emerging despite restrictions.

Governance and Ethical Concerns

  • Current restrictions may inhibit innovation and economic development, consolidating power among a few U.S. companies.
  • There is an argument against equating distillation to intellectual property theft, given that AI models are often trained on the creative outputs of many individuals without consent.
  • A coordinated response is needed across the AI industry, cloud providers, and policymakers to ensure ethical practices.

Recommendations for Responsible AI Use

  • There is a need for plurilateral commitments by states for responsible use of AI, ensuring human control over lethal decisions and prohibiting mass civilian surveillance.
  • Corporate guardrails are insufficient; effective governance requires universal commitments to ethical standards and practices.


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RELATED TERMS

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Plurilateral commitments

Agreements or commitments made by a group of countries, rather than a universal or bilateral approach. In AI, this refers to states collaborating on norms and regulations for responsible AI use.

Supply chain risk

In the context of AI, this refers to potential vulnerabilities or threats introduced through the components, development processes, or distribution channels of AI systems. The Pentagon's designation of Anthropic highlights concerns about its technology's integration into military operations.

Dual-use

Refers to technologies, like AI models, that have both civilian and military applications. This characteristic makes them subject to complex export controls and national security considerations.

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