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  4. Sovereign AI Infrastructure and National Strategy

Sovereign AI Infrastructure and National Strategy

National AI Document approved 2024, $215M+ in 2025 R&D funding, plans for first domestic GPU data center — targeting top-10 global AI ranking by 2032 under a sovereign infrastructure model.

Geography: Emea · Middle East · Iran

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Iran approved its National Artificial Intelligence Document through the Majlis in June 2024, establishing a formal AI strategy with the goal of reaching top-10 global AI ranking by 2032. The government allocated over $215 million in R&D funding for 2025, announced plans for the country's first domestic GPU data center, and established a National Artificial Intelligence Organization under the presidency. An AI park is planned to showcase domestically developed AI applications and provide services to the public.

Iran's AI ambitions face unique constraints: sanctions restrict access to advanced GPU hardware (NVIDIA, AMD), cloud computing services, and many software tools and datasets used in AI research. The country's approach emphasizes sovereign infrastructure — building domestic compute capacity and developing AI models using locally controlled hardware and data. Iranian universities (Sharif, Tehran, Amirkabir) produce significant computer science research output and have strong mathematical foundations, but the hardware gap limits competitiveness in compute-intensive frontier AI development.

The strategic context includes both civilian and military dimensions. Civilian applications include medical imaging AI (leveraging domestic clinical data), Persian-language natural language processing, smart agriculture, and industrial automation. Military applications include drone autonomy, missile guidance, radar signal processing, and the cyber operations described elsewhere in this radar. The Recorded Future assessment notes Iran's intent to develop AI capabilities for both economic modernization and national security, constrained primarily by compute access rather than talent or ambition.

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