← Open interactive AI Risk Trajectory

AI RISK SYSTEM · 2026-09-17

Geopolitical & strategic systems

How do state use, strategic competition, security deployment and technology concentration alter AI risk pathways?

Current assessment

R3Operational 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: X3Consequential deployment. Consequence envelope: C5National or global severe. Control assurance: A1Controls specified / implemented.

Monitored pathways

Strategic technology concentration

R1Preconditions observed

Technology and infrastructure concentration are material structural conditions with strategic relevance.

State-aligned operational use

R3Operational use observed

State-aligned operational use is documented across cyber, surveillance and influence workflows.

Military & intelligence integration

R1Preconditions observed

Integration is growing but public evidence on scope, decision authority and dependence remains incomplete.

AI-driven strategic instability

R0Hypothesised

Strategic instability remains a plausible downstream pathway whose causal magnitude and direction are contested.

Where the evidence reaches

State-aligned operational use is observed; broad claims about AI causing strategic instability remain inferential.

Strategic competition & technology concentration

Material structural condition · medium evidence

AI capability, compute, semiconductor supply and infrastructure are concentrated enough to matter for national strategy and resilience.

What remains uncertain

How concentration changes long-run stability depends on policy and market adaptation.

What would move this stage

Track measurable access, concentration and dependency rather than political rhetoric alone.

State-aligned operational use

Observed · medium evidence

Threat intelligence documents state-aligned actors using AI across cyber, surveillance and influence workflows.

What remains uncertain

Detected operations are not a complete measure of state adoption or strategic impact.

What would move this stage

Independent official evidence and comparative data across states and domains.

Military / intelligence integration

Growing but uneven · limited evidence

The UN scientific panel treats security and systems implications as a major domain of AI assessment.

What remains uncertain

Public evidence on doctrine, reliability and operational dependence is incomplete and often classified.

What would move this stage

Transparent evidence on deployment scope, decision authority and control arrangements.

International coordination & governance

Expanding, fragmented · medium evidence

Governments, standards bodies and international organisations are building evaluation and governance mechanisms.

What remains uncertain

Implementation and effectiveness vary substantially across jurisdictions.

What would move this stage

Measure implementation and effect rather than counting policy announcements.

Strategic instability or escalation

Plausible; not a single observed AI-driven state · limited evidence

AI can interact with existing strategic competition and security systems.

What remains uncertain

Causal magnitude, direction and stabilising versus destabilising effects are contested.

What would move this stage

Event-level and longitudinal evidence with careful causal attribution.

Evidence limiting the assessment

Strategic outcomes depend on doctrine, alliances, human decisions, conventional capabilities and many non-AI factors.

Claim-level evidence

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.

Key sources

Compare this system with the full current assessment, inspect the dataset summary, or read the methodology.