AI Sovereignty: A Qualitative Model of Strategic Competition as AI Becomes an Instrument of National Power

Researchers present a qualitative model for understanding AI sovereignty—how nations independently control AI technologies—identifying critical leverage points like electricity, data, and skilled talent that determine competitive advantage. The framework highlights both kinetic and non-kinetic methods nations may employ to strengthen their AI capabilities or undermine rivals, positioning AI as a central instrument of 21st-century national power competition.

This research addresses a significant gap in understanding how geopolitical competition is reshaping around artificial intelligence capabilities. As nations race to develop frontier AI models, the concentration of resources required—computing infrastructure, electricity, water, datasets, and specialized talent—creates strategic vulnerabilities and opportunities for state actors. The qualitative model moves beyond abstract discussions of AI dominance to identify concrete leverage points where nations can gain or lose competitive ground.

The framework's dual emphasis on kinetic and non-kinetic actions reflects evolving modern conflict paradigms. Examples like Iran's drone strikes on data centers demonstrate that AI sovereignty isn't merely a technology challenge but increasingly a security and infrastructure concern. Economic coercion, cyber operations, and diplomatic pressure become tools to either accelerate domestic AI development or constrain competitors' advancement.

For investors and technology stakeholders, this analysis signals that AI infrastructure—from energy production to rare talent acquisition—will face unprecedented geopolitical scrutiny. Companies operating AI systems may find themselves subject to new regulatory constraints, supply chain restrictions, or strategic partnership requirements. Governments will likely increase investment in domestic AI capabilities and critical infrastructure protection, reshaping venture capital flows and corporate strategy.

Looking forward, the weaponization of AI supply chains and infrastructure presents systemic risks. Nations may pursue resource nationalism strategies, restrict critical technology exports, or establish sovereign cloud ecosystems. The model suggests competition will intensify around non-obvious leverage points like water availability for data center cooling, making seemingly technical infrastructure decisions into strategic national priorities.

• →AI sovereignty—independent national control of AI technologies—is emerging as a primary axis of geopolitical competition affecting economic power and security
• →Critical leverage points including electricity, water, compute chips, data, and skilled workforce determine which nations can sustain frontier AI development
• →Both kinetic actions (infrastructure attacks) and non-kinetic methods (cyber, economic sanctions, diplomacy) are employed to enhance or degrade AI capabilities
• →Technology companies face increasing pressure from governments seeking to control AI infrastructure and talent within national borders
• →Strategic competition for AI dominance may define 21st-century national power dynamics more than traditional military or economic factors