Strategic technology concentration
R1 — Preconditions observed
Technology and infrastructure concentration are material structural conditions with strategic relevance.
AI RISK SYSTEM · 2026-09-17
How do state use, strategic competition, security deployment and technology concentration alter AI risk pathways?
R3 — Operational use observed. The operational threshold is met for state-aligned use, but the model does not treat strategic instability as an observed AI-caused outcome.
The top-level realisation state is the furthest validated state reached by at least one monitored pathway. It does not imply every pathway inside Geopolitical & strategic systems has reached R3.
Exposure: X3 — Consequential deployment. Consequence envelope: C5 — National or global severe. Control assurance: A1 — Controls specified / implemented.
R1 — Preconditions observed
Technology and infrastructure concentration are material structural conditions with strategic relevance.
R3 — Operational use observed
State-aligned operational use is documented across cyber, surveillance and influence workflows.
R1 — Preconditions observed
Integration is growing but public evidence on scope, decision authority and dependence remains incomplete.
R0 — Hypothesised
Strategic instability remains a plausible downstream pathway whose causal magnitude and direction are contested.
State-aligned operational use is observed; broad claims about AI causing strategic instability remain inferential.
Material structural condition · medium evidence
AI capability, compute, semiconductor supply and infrastructure are concentrated enough to matter for national strategy and resilience.
How concentration changes long-run stability depends on policy and market adaptation.
Track measurable access, concentration and dependency rather than political rhetoric alone.
Observed · medium evidence
Threat intelligence documents state-aligned actors using AI across cyber, surveillance and influence workflows.
Detected operations are not a complete measure of state adoption or strategic impact.
Independent official evidence and comparative data across states and domains.
Growing but uneven · limited evidence
The UN scientific panel treats security and systems implications as a major domain of AI assessment.
Public evidence on doctrine, reliability and operational dependence is incomplete and often classified.
Transparent evidence on deployment scope, decision authority and control arrangements.
Expanding, fragmented · medium evidence
Governments, standards bodies and international organisations are building evaluation and governance mechanisms.
Implementation and effectiveness vary substantially across jurisdictions.
Measure implementation and effect rather than counting policy announcements.
Plausible; not a single observed AI-driven state · limited evidence
AI can interact with existing strategic competition and security systems.
Causal magnitude, direction and stabilising versus destabilising effects are contested.
Event-level and longitudinal evidence with careful causal attribution.
Strategic outcomes depend on doctrine, alliances, human decisions, conventional capabilities and many non-AI factors.
4 claim-level evidence records currently sit beneath this system. They identify the specific proposition each document is being used to support or limit rather than treating a whole report as one finding.
Compare this system with the full current assessment, inspect the dataset summary, or read the methodology.