AI Risk Pulse
Mark-to-market for AI risk. Select an instrument, read the grade, size the exposure.
Powered by the SIRA (Synthetic Intelligence Risk Assessment) Framework · Methodology
Global AI Ecosystem
GLBL.AIAggregate risk across all sectors of AI adoption worldwide. The broadest measure of systemic AI risk.
Stability-Plasticity Estimate — can this sector absorb AI change without systemic breakage? Learn more
Systemic Exposure Index — how exposed is this sector to infrastructure-level disruption? Learn more
THESISBASELINE
Systemic risk elevated. Safety departures and market contagion signal structural stress across the AI supply chain. GPU monopoly (Nvidia 80%+ share) creates single-point infrastructure dependency; AI energy demand straining grid capacity. Impact tracker reduced severity by 0.15 — Economy sector showing positive momentum.
No live signals for this sector. Ratings reflect internal market sensitivity analysis — layer weights, base severity, and structural risk profile.
Intervention required. Multiple SIRA layers under active stress.
Based on internal sensitivity analysis
If infrastructure shock occurs, VaR amplifies from $17.0M to $46.2M
SIRA Layer Exposure
GLBL.AISelect a layer to simulate a cascade shock through the stack
Exposure % = instrument sensitivity to this SIRA layer. Bar = events × weight.
Value at Risk by Currency
GLBL.AI at Medha-BB for 1,000 employees. VaR includes both AI spend risk and workforce disruption cost priced at each region's salary benchmark.
Your Medha Grade tells you where you sit
before the event hits.
Get your organisation assessed across all 7 SIRA layers. One grade. One number. Full clarity.
5-minute self-assessment or 30-minute expert audit · Both free