The Agentic Social Dividend: Global Diagnostic and Econometric Decomposition Modelling of Labour Repartition, Automated Productivity, and Distributional Architecture in the Agentic Economy

This chapter develops the Agentic Social Dividend as a distributional architecture for the agentic economy. Building on the concepts of agentic economy and agentic capital, it argues that the central social problem of AI, robotics, compute systems, data infrastructures and executable protocols is not simply technological unemployment, but labour repartition and the weakening of wage-based distribution. The chapter constructs the Agentic Social Dividend Necessity Index (ASDNI) using maximum-coverage international statistical anchors from the World Economic Forum, IMF, International Federation of Robotics, International Labour Organization, OECD, Stanford AI Index, OpenAI/UPenn and the International Energy Agency. Methodologically, the chapter combines composite-index construction with a supplementary diagnostic econometric decomposition layer based on cross-sectional OLS specifications, robust standard errors, scenario simulation, robustness diagnostics and EVA-based fiscal-capacity assessment. This econometric layer is interpreted as internal validation and structured decomposition of a generated index, not as causal identification of the welfare effects of AI or automation. Results show that advanced agentic economies face high distributional pressure because AI exposure, robot intensity and rent concentration are high, while emerging and low-income groups face a different risk profile caused by weaker adaptive and human-sovereignty capacity. The EVA extension shows that selected AI-, cloud-, platform- and compute-intensive firms generate measurable surplus above capital charges, while sensitivity tests confirm that this surplus remains positive under more conservative invested-capital assumptions. The chapter concludes that the Agentic Social Dividend is not ordinary welfare or passive income; it is a targeted distributional mechanism that can link a portion of agentic productivity gains to reskilling, AI literacy, audit capacity, human override infrastructure, data governance and renewed human participation in economic life.