TRD Global Dashboard
Country-level displacement risk metrics mapped to the Theory of Recursive Displacement
Curated snapshot — last updated 2026-03-15. Metrics scored 0–100 from World Bank WGI, ILO, IFR, and institute-derived composite indices.
Country Archetypes
Five development pathways through displacement
Contracting + Strong State
Aging demographics and high state capacity absorb displacement through shrinking labor force — but risk pension and care-system collapse.
4 countries tracked
Contracting + Authoritarian
State-directed automation at scale with demographic contraction. High displacement risk concentrated in export manufacturing and state enterprise sectors.
1 country tracked
Informal + Weak State
Low current automation but high vulnerability to export-channel disruption and remittance collapse as advanced economies automate.
5 countries tracked
Mid-Industrial Export-Dependent
Economies built on labor-cost arbitrage face acute displacement as nearshoring and automation erode their competitive position.
6 countries tracked
Advanced Liberal Democratic
Highest AI capability and adoption. Displacement manifests as structural exclusion from cognitive work, not mass unemployment — the orchestration class consolidates.
2 countries tracked
Displacement Risk by Country
Comparative metrics
Click any column header to sort. All values on a 0–100 normalized scale.
| Country | Type | State Capacity | Labor Formal. | Demo. Trajectory | Robot Density | AI Readiness | TRD Risk |
|---|---|---|---|---|---|---|---|
| United States | E | 82 | 88 | 52 | 55 | 95 | 78 |
| United Kingdom | E | 85 | 90 | 48 | 42 | 88 | 74 |
| China | A-Auth | 78 | 65 | 30 | 52 | 79 | 72 |
| South Korea | A | 85 | 89 | 15 | 100 | 86 | 65 |
| Vietnam | C | 55 | 45 | 60 | 18 | 32 | 62 |
| Japan | A | 88 | 92 | 18 | 95 | 82 | 61 |
| Mexico | C | 45 | 42 | 55 | 22 | 35 | 60 |
| Bangladesh | C | 32 | 35 | 72 | 5 | 16 | 58 |
| Philippines | C | 38 | 38 | 65 | 8 | 28 | 56 |
| Germany | A | 90 | 94 | 25 | 78 | 80 | 55 |
| Cambodia | C | 28 | 25 | 68 | 3 | 12 | 55 |
| Italy | A | 72 | 82 | 20 | 62 | 58 | 52 |
| Ethiopia | C | 24 | 14 | 90 | 1 | 9 | 48 |
| Pakistan | B | 30 | 20 | 85 | 4 | 18 | 42 |
| Kenya | B | 35 | 22 | 88 | 3 | 22 | 40 |
| Nigeria | B | 28 | 18 | 95 | 2 | 15 | 38 |
| Tanzania | B | 25 | 12 | 92 | 1 | 10 | 32 |
| Nepal | B | 22 | 15 | 78 | 1 | 8 | 30 |
Methodology
- State Capacity — World Bank Worldwide Governance Indicators (Government Effectiveness), normalized.
- Labor Formalization — ILO formal employment share, adjusted for sectoral composition.
- Demographic Trajectory — UN population projections. High = young/growing, Low = aging/contracting.
- Robot Density — IFR industrial robot installations per 10k manufacturing workers, normalized.
- AI Readiness — Composite of Oxford Insights AI Readiness, Stanford HAI index, and government AI strategy maturity.
- TRD Risk — Institute-derived composite score measuring near-term vulnerability to recursive displacement dynamics.
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