A world-scale economic simulation for policymakers, finance ministries, and international organizations. Run a synchronized multi-country simulation, then explore who is winning, who is at risk, where capital flows, and how rivals respond to your policy decisions. Every number traces back to real country data — OECD, IMF, and the Global Macro Database.
01 — Six Views
Each tab answers a different question
01
WORLD AGGREGATES
Where is the global economy heading?
See GDP growth, unemployment, debt, and AI displacement trajectories for the entire simulated world. Six live KPIs and three trajectory charts give you the macro picture at a glance.
02
RANKINGS
Which countries are winning and losing?
A full leaderboard ranked by any metric — GDP growth, unemployment, debt, labor share, or displacement. Click any country to trace its rank trajectory over the 8-year horizon.
03
VULNERABILITY
Which countries are most exposed to AI transition risk?
A composite risk index broken down into four components: AI exposure, fiscal fragility, labor absorption capacity, and capital flight risk. Visual bars show each driver at a glance.
04
FLOWS
Where is capital, trade, and labor moving?
Capital, trade, and migration corridors ranked by fragility. Radar warnings flag countries approaching instability. Readiness rankings show which economies can absorb the transition.
05
MAP
Where in the world is risk concentrated?
A geographic choropleth that colors every country by vulnerability score or GDP growth rank. Dark red = most exposed. Green = strongest performers. Click any country to open its trajectory.
06
STRATEGY
What should your country do — and who faces the same challenge?
A narrative storyboard of the global transition (phases + turning points), geo-economic twin pairings, exposure-to-action playbooks for any country, and a history of saved policy experiments for comparison.
07
THREAT
What happens if a competitor cuts taxes or moves first?
Adversarial analysis with domino cascade and neutralization options. Plus: equilibrium threshold modeling, multi-round game theory, and composite stress-test scenarios across all simulated countries.
02 — How to Use
Four steps to your first insight
1
Run the simulation
On the WORLD tab, enter 2–12 country ISO3 codes (e.g. USA,CHN,DEU,JPN,GBR) and click RUN SIMULATION. The model runs all countries forward 8 years under an AI adoption curve. Your run is saved locally so you can switch tabs freely.
2
Read the world picture
The WORLD tab shows six aggregate KPIs and a multi-line trajectory chart. GDP Growth and Unemployment share the main axis. Debt/GDP is overlaid at ÷100 scale. Secondary charts show displacement rate and total world GDP.
3
Explore rankings and vulnerability
Switch to RANKINGS to find which countries lead or lag. Select any metric and year, then click a country row to load its full rank trajectory. In VULNERABILITY, component bars reveal whether risk comes from fiscal fragility, AI exposure, labor, or capital flight.
4
Build strategy and model threats
STRATEGY reveals transition phases, twin economies, and exposure-to-action playbooks for any country. THREAT models adversarial policy moves, equilibrium thresholds, multi-round game competition, and composite stress scenarios.
03 — Understanding the Data
What the model assumes and where numbers come from
Every country in the simulation uses its real observed tax rates, GDP levels, debt ratios, and economic structure — pulled from OECD, IMF GFS, and the Global Macro Database. World aggregates are GDP-weighted. The model is a closed-economy SFC (stock-flow consistent) framework — not a trade or exchange rate model. Outputs are directional intelligence, not point forecasts.
GDP-weighted aggregationDefault
World aggregates are weighted by each country's GDP share. Smaller economies contribute less to the headline numbers. Weights shift over the simulation horizon as GDP levels diverge.
8-year simulation horizon8 years
The model runs from the simulation start year forward 8 years. Rankings and KPIs reflect the final year unless you select a different year on the Rankings tab.
Country-specific dataOECD · IMF · GMD
Each country uses its actual observed tax rates, debt levels, and economic structure from OECD, IMF GFS, and the Global Macro Database. Qatar's 0% corporate tax is different from France's 25% — the model is country-specific throughout.
AI adoption curveS-curve 0–34%
The default scenario uses a smooth S-curve reaching 34% AI adoption by year 8. This is an assumption about the pace of global AI diffusion — not a forecast. Under-the-hood, each country's displacement is scaled by its sectoral composition.
Capital Flight Sensitivity0.25 (default)
Controls how strongly capital responds to tax rate differentials between countries. Higher values produce more capital reallocation in the corridors and flows tabs. This is a key uncertainty in the model.
Model limitationsClosed economy
The model does not include exchange rate dynamics (no FX feedback loop). Tax deltas are additive on observed rates. Trade matrices are fixed. These are deliberate simplifications that keep results reproducible — outputs are directional, not point forecasts.
Vol. I · March 2026218 economies · GMD · ILO · WB · IMF · OECD · ATAF · CIATInstitutional & individual access