This research examines how nations can develop their own sovereign LLMs while addressing key security, regulatory, and investment concerns.

• Analyzes global trends, challenges, and opportunities in national LLM development
• Evaluates investment feasibility and implementation strategies for state-level AI initiatives
• Proposes frameworks for regulation and financing of sovereign AI projects
• Highlights security implications of developing independent AI capabilities

For security professionals, this research provides crucial insights on balancing innovation with appropriate safeguards when developing national AI infrastructure, potentially reducing dependence on external AI systems while maintaining control over sensitive data and applications.

Sovereign Large Language Models: Advantages, Strategy and Regulations