GAGI: A Gini-Adjusted GDP-per-Capita Index for Distribution-Aware Macroeconomic Welfare Monitoring

Researchers introduce GAGI (Gini-Adjusted GDP-per-Capita Index), a new macroeconomic monitoring metric that accounts for income inequality and inflation alongside GDP growth. Analysis of G7 economies from 2010-2026 reveals that welfare-adjusted prosperity has diverged significantly from headline GDP, with the gap widening sharply after 2022, suggesting traditional GDP metrics mask distributional harm from technological change.

The article presents GAGI as a critical advancement in macroeconomic measurement, addressing a fundamental blind spot in how governments and policymakers assess economic health. While GDP per capita remains the standard welfare indicator globally, it ignores two critical factors: income inequality and inflation's differential impact across income groups. The researchers argue this creates a dangerous gap in policy oversight, particularly as automation accelerates.

The timing of this research reflects growing concern about AI-driven productivity gains benefiting unequally across populations. Historical precedent shows technological disruption often concentrates wealth even during periods of strong aggregate growth, yet existing metrics fail to flag this danger until social tensions emerge. GAGI operationalizes inequality-adjustment through the Gini coefficient, creating a reproducible, publicly auditable index that policymakers can compute annually from standard data sources.

The empirical findings prove striking: G7 welfare-adjusted prosperity has increasingly decoupled from GDP growth, with acceleration after 2022 coinciding with generative AI deployment and post-COVID economic shifts. This divergence matters because it suggests official growth narratives may obscure real living standard deterioration for significant populations. For investors and policymakers, GAGI signals potential social instability risks that traditional economic indicators miss entirely.

The framework applies beyond automation specifically—to any period where aggregate growth masks distributional harm. Its simplicity and transparency make adoption feasible at central bank and international organization levels, potentially reshaping how fiscal and monetary policy are evaluated against welfare outcomes rather than mere output expansion.

• →GAGI combines GDP per capita with Gini inequality coefficient and price levels to create a distribution-aware prosperity metric
• →G7 welfare-adjusted growth has diverged sharply from headline GDP since 2022, masking potential living standard declines for portions of populations
• →Traditional GDP-only monitoring systematically misses distributional harm from automation even during periods of strong reported economic growth
• →The metric is reproducible from public data annually, making adoption feasible for central banks and international economic organizations
• →GAGI represents a necessary analytical tool for detecting social risk from technological disruption before tensions escalate