Congressional Proposal Model 10-Year Macro Simulation

AI Tax & Mass Employment Policy Simulator

Evaluate legislative proposals funding national job guarantees via targeted AI compute and corporate revenue taxes. Dynamic dynamic trade-offs between labor market absorption, capital flight, productivity, and fiscal solvency.

Policy Presets:
Public Jobs Created
0.0M
Year 10 Absorption
Avg Annual Revenue
$0.0B
Net Tax Yield
Cumulative Balance
$0.0B
10-Yr Fiscal Surplus/Deficit
AI Capital Flight
0.0%
Offshore Infrastructure Loss

Annual Fiscal & Labor Breakdown Ledger

Okun's Law adjustments & elasticity dynamic curves included
Year Tax Revenue ($B) Program Cost ($B) Net Fiscal ($B) Public Jobs (M) Displaced Labor (M) Deadweight Loss ($B) Capital Flight Index

Labor Re-Allocation & Substitution

Automation displacement absorbs private sector workers into federal public employment. High public wage floors incentivize voluntary transition from low-wage service sectors into public work, crowding out marginal private hiring.

Laffer Curve & Tax Elasticity

Targeted compute and corporate AI taxes generate diminishing marginal returns beyond critical rate thresholds. Higher elasticity amplifies capital flight into international low-tax compute havens.

Economic Drag & Deadweight Loss

Diverting capital from AI R&D reduces long-term private sector TFP (Total Factor Productivity) growth, offset partially by aggregate demand stabilization from public employment wages.

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