IAS/UPSC Coaching Institute  

11 Mar 2026 : AI and the national security calculus

Article 3: AI and the national security calculus

Why in news: The debate over AI distillation and national security intensified after Anthropic accused Chinese labs—DeepSeek, MoonshotAI, and MiniMax—of copying its models, while its own AI tools were reportedly used by the U.S. military.

Key Details

  • Anthropic, a U.S. AI company, has urged authorities to treat Chinese AI labs (DeepSeek, MoonshotAI, MiniMax) as national security threats.
  • These labs are accused of “distilling” advanced AI models, meaning training weaker models using outputs from stronger ones such as Anthropic’s Claude.
  • Reports indicate U.S. military operations used AI models to speed up the “kill chain” process—from target identification to strike approval.
  • Restrictions on AI development are difficult because AI is a dual-use technology, widely developed in the private sector for civilian and military applications.
  • Attempts to restrict AI diffusion through export controls or technology barriers are often bypassed, raising concerns about global AI competition and governance.

Rising AI Geopolitical Tensions

  • Anthropic has urged authorities to classify Chinese AI labs—DeepSeek, MoonshotAI, and MiniMax—as national security threats.
  • At the same time, AI models developed by U.S. firms were reportedly used by the United States Department of Defense during military strikes on Iran to accelerate the “kill chain” decision process.
  • The Pentagon even labelled Anthropic itself a “supply chain risk” after it raised concerns about military use of its technology.
  • Anthropic has challenged this designation in court, highlighting tensions between technology companies and defence institutions.
  • These developments underline the growing link between AI innovation, geopolitics, and national security strategy.

Allegations of AI Model Distillation

  • Chinese AI labs are accused of “distilling” frontier AI models, meaning they trained weaker models using outputs generated by stronger systems.
  • According to Anthropic, this activity involved millions of interactions with its AI model Claude through thousands of fraudulent accounts.
  • The company claims the process bypassed access restrictions and violated terms of service.
  • Distillation techniques allegedly used sophisticated methods to hide the identity and intent of users.
  • The controversy raises concerns about intellectual property protection in AI development.

AI as a Dual-Use Technology

  • Generative AI is often compared to nuclear technology, but it actually resembles semiconductors because of its dual-use nature.
  • Unlike nuclear technology, AI research is largely driven by private companies rather than governments.
  • AI tools developed for civilian purposes can also be used in military applications such as surveillance, cyber operations, and autonomous weapons.
  • This overlap complicates global attempts to control AI proliferation.
  • As a result, traditional non-proliferation models used for nuclear technology may not work for AI.

Limits of Technology Restrictions

  • Attempts to restrict AI development through export controls and semiconductor restrictions have proven difficult to enforce.
  • Talent mobility allows researchers trained in one country to work elsewhere, spreading knowledge globally.
  • New techniques such as model distillation create additional pathways for technology diffusion.
  • Workarounds frequently emerge whenever new restrictions are introduced.
  • Such limitations may ultimately slow innovation and scientific collaboration without effectively preventing technological competition.

Need for Global AI Governance

  • The increasing integration of generative AI into military systems appears inevitable.
  • Corporate safeguards alone are insufficient because governments can override or pressure companies to deploy technology for defence purposes.
  • There is a growing need for international agreements on responsible military use of AI.
  • These frameworks should include human oversight over lethal decisions and restrictions on mass surveillance.
  • Global cooperation and transparent technical standards will be essential to ensure safe and accountable AI deployment.

Conclusion

The controversy highlights the growing intersection of AI innovation, geopolitical rivalry, and military applications. As generative AI spreads globally, unilateral restrictions are unlikely to prevent technological diffusion. Instead, the world needs cooperative governance frameworks, international norms, and transparency standards to regulate military uses of AI. Responsible global agreements are essential to balance security concerns with innovation and fair competition.

 

Descriptive question:

“Artificial Intelligence is increasingly becoming a strategic technology with both civilian and military applications.” Discuss the challenges of regulating AI proliferation and suggest measures for global governance of AI technologies. (250 words, 15 marks)