Speculative scenario model · not an empirical forecast

AI Industry Revenue, Profit & Job-Displacement

Revenue grows off a maturing base growth rate. Each year's revenue displaces jobs; displaced workers are partly reabsorbed and partly accumulate as net AI-driven unemployment. Total unemployment (baseline + AI-driven) depresses consumer spending, which drags on next year's revenue growth — a one-year lag, not a circular loop. A scenario ceiling caps total unemployment so the model can't imply >100% joblessness.

Revenue, Profit & Unemployment Over Time
AI industry revenue ($B) Annual profit ($B) Total unemployment rate (%) Scenario ceiling
Scenario Presets — Max Total Unemployment Ceiling
Time Horizon
First projected year.
Projection horizon.
AI Industry Revenue
Illustrative global AI industry revenue base, Year 1.
Growth rate before any feedback drag, Year 1.
Annual step-down in base growth as the market matures.
Base growth rate never decays below this floor.
Job Displacement
Million jobs automated per $1B of AI revenue booked that year.
Share of accumulated net AI-unemployed who find new work each year.
Labor force the displacement pool is measured against.
Structural/frictional unemployment unrelated to AI.
Macro Feedback
% decline in consumer spending per 1pp rise in total unemployment above baseline.
Points AI revenue growth falls per 1% spending decline, applied with a 1-year lag.
Sanity cap — even in this severe scenario, total unemployment can't exceed this.
Profitability
Industry-wide margin in Year 1 (heavy compute/infra capex).
Assumed annual margin improvement as the industry scales.
Maximum profit margin the model allows.
Summary
Revenue CAGR (full period)
Peak annual profit
Final net AI-driven unemployed
Final total unemployment rate

How to read this: Column-D-style feedback drag applies the prior year's consumer-spending decline to the current year's growth rate — a one-year lag, avoiding a circular reference. Net AI-driven unemployment nets new displacement against reabsorption into other work each year, capped by the scenario ceiling above. This is a speculative scenario model, not an empirical forecast — there's no published dataset cleanly mapping AI revenue to jobs displaced; the linking multipliers are illustrative judgment calls. Treat outputs as directional, stress-testable logic, not a prediction.