Abstract

Purpose: This paper critically examines the quantitative relationship between robotics adoption and workforce transformation dynamics in developing economies, focusing on employment levels, labor polarization, wage distribution, and productive capacity shifts. It challenges prevailing normative narratives by interrogating whether robotics catalyzes equitable growth or exacerbates labor market stratification.

Methodology: Using crossnational panel data from 2004–2022 and multicountry regression models, this research quantifies robot density effects on employment patterns. Instrumental variables mitigate endogeneity, while job transition probability matrices derived from Egypt and Africa datasets are employed to model labor mobility. Quantitative models include differential employment regressions and wage distribution analyses to assess polarization.

Findings: Results reveal statistically significant robotics adoption effects on occupational structures in developing contexts. Increased robot density correlates with labor displacement in formal sectors and the expansion of informal employment buffers. Skilled labor demand rises nonlinearly, with marked polarization and limited transition pathways for a majority of displaced workers. Employment gains are sectorally divergent, and wage effects remain uneven.

Value: By integrating global econometric evidence with developing economy job transition modeling, this study offers nuanced insight into how robotics reshapes labor markets beyond descriptive case studies, contributing to policy debates on automation, employment resilience, and equitable technological diffusion.

Keywords: Robotics adoption; labor market transformation; developing economies; employment polarization; automation impacts; robot density.