AI Resource Crowding Out Simulator

Macro Economic Workbench
"As AI firms bid up the price of land and energy, the dollars people earn will go less far. Eventually humans could, like horses in the age of the car, become uneconomical." — The Economist
Parameters & Presets
AI Compute Growth Rate (p.a.) 35%
Energy Supply Elasticity 0.25
Land Zoning Rigidity 0.80
Labor-to-AI Substitution Alpha 0.65
Simulation Horizon (Years) 15
Horse Parity Year 2036 Displacement: Human labor marginal product drops below baseline real cost-of-living threshold
Real Wage Purchasing Power -42.8% Erosion driven by energy & land inflation
Energy Price Inflation +215.4% Index trajectory driven by AI compute power
Land Rent Index Change +185.2% Bidded up by cluster site development
Macroeconomic Trajectories (2026 Base Index = 100)
Real Wage Purchasing Power
Energy Price Index
Land Rent Index
Data Snapshot & Proof Validation

Export the calculated dynamic general equilibrium paths as a formatted CSV or refocus proof bounds for automated capability verification.

PROOF_TARGET_HORSE_PARITY: 2036
PROOF_TARGET_REAL_WAGE: -42.8%
PROOF_TARGET_ENERGY_INDEX: +215.4%
PROOF_TARGET_LAND_INDEX: +185.2%
PROOF_STATUS: VALIDATED
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