Google AI & Economy Research Impact & Labor Transition Modeler

Projected Productivity Gain

+24.6%

Annualized macro efficiency uplift

Recommended Action Count

High-priority policy interventions

Upskilling Investment Ratio

3.4x

Versus pre-automation baseline

Workforce Transition Index

Moderate-High

Friction score: 59.1 / 100

Research Scenario Presets

Economic Sector Focus

AI Adoption Rate (%) 65%

0% (Nascent) 100% (Universal)

Automation Exposure (%) 42%

0% (Manual) 100% (High Exposure)

Policy Investment Multiplier 1.8x

0.5x (Austerity) 4.0x (Hyper-reskilling)

Geographic & Economic Region

Dynamic Labor Transition vs. Productivity Trajectory (10-Year Horizon)

Productivity Growth Curve

Workforce Friction Risk

Net Absorbed Transition

Active Simulation

Transition Composition

Productivity Vector +24.6%

Gross Displacement Friction 59.1 pts

Policy Cushion Offset -10.8 pts

Targeted Economic Interventions

Serialized Research Brief Export

Labor Transition & Productivity Mechanism

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The model calculates projected macroeconomic productivity gains by weighting adoption rate, task automation exposure, and policy investment multipliers. Concurrently, labor friction balances gross displacement and adoption against policy cushions. Raising policy investment directly contracts peak transition friction. Net absorbed transition tracks the gap between the S-curve productivity trajectory and friction, determining how many tailored interventions are deployed.