THREAT ASSESSMENT: AI Sovereignty as a Vector for Strategic Competition and National Power Fragmentation

clean data visualization, flat 2D chart, muted academic palette, no 3D effects, evidence-based presentation, professional infographic, minimal decoration, clear axis labels, scholarly aesthetic, Two adjacent demographic pyramids on a muted grid background, one rising steeply with labeled tiers marked "Domestic AI Stack", "National Standards", "Controlled Innovation", rendered in cold blue tones with sharp, rigid lines; the other pyramid unevenly truncated, tiers labeled "Import-Dependent Layers", "Access At-Risk", "Coerced Upgrades" in dull reds and grays, slight misalignment in axis scaling; flat overhead lighting, crisp shadows along grid lines, atmosphere of clinical precision undercut by visible structural imbalance [fal-ai/z-image/turbo]
If nations prioritize domestic control over AI inputs—chips, energy, data, and talent—then cross-border infrastructure becomes a target for non-kinetic and kinetic disruption, raising the cost of technological interdependence.
Bottom Line Up Front: As AI becomes central to national power, competition over AI sovereignty is evolving into a multidomain strategic contest involving economic, cyber, physical, and informational levers that could destabilize global technological order. Threat Identification: The primary threat is the fragmentation of global AI development due to competing national interests seeking technological autonomy. This includes efforts by states to control or disrupt access to critical AI inputs—such as advanced chips, electricity, water, data, and skilled labor—potentially leading to targeted attacks on infrastructure and talent acquisition wars. Notably, actions like Iran’s drone strikes on data centers exemplify the emerging convergence of kinetic and digital threats in AI sovereignty contests [Clancy & Naugle, arXiv:2403.08901]. Probability Assessment: High likelihood within the 2026–2035 timeframe. Current trends in export controls (e.g., U.S. semiconductor restrictions), increased state investment in domestic AI stacks, and rising cyber-espionage cases indicate accelerating movement toward sovereign AI ecosystems. Without coordinated international frameworks, fragmentation and confrontation are probable. Impact Analysis: The consequences include bifurcated AI standards, reduced innovation efficiency, increased costs for AI deployment, and potential conflict escalation through hybrid warfare tactics targeting AI supply chains. Nations lacking self-sufficiency may face strategic dependency, while others could weaponize AI infrastructure access as a tool of coercion. Recommended Actions: 1) Establish multilateral dialogues on AI infrastructure security and interdependence; 2) Diversify and harden domestic supply chains for AI-critical resources (e.g., energy, semiconductors); 3) Invest in workforce development and data governance frameworks to enhance sovereign capability; 4) Develop doctrines for defending against and responding to kinetic/non-kinetic attacks on AI infrastructure. Confidence Matrix: Threat Identification – High confidence (based on observed state behaviors and documented incidents); Probability Assessment – Medium-High confidence (inferred from policy trends and expert forecasts); Impact Analysis – High confidence (supported by analogies to nuclear, space, and cyber domains); Recommended Actions – Medium confidence (dependent on geopolitical cooperation and resource allocation). [Clancy & Naugle, arXiv:2403.08901]
Published June 8, 2026