The innovation-driven transformation of the global labor market: virtual agglomeration and structural changes by 2030
DOI:
https://doi.org/10.31558/2307-2318.2025.4.19Keywords:
labor market transformation, virtual agglomeration, structural churn, intelligent automation, technological precarity, reskilling revolution, job displacement, artificial intelligenceAbstract
The study analysed that the global labor market is navigating a “double disruption” scenario driven by the acceleration of intelligent automation and the imperatives of the green transition. This study synthesizes data from the “World Economic Forum’s Future of Jobs Report 2025” and recent empirical evidence on “Virtual agglomeration”. The paper identifies that the projected creation of millions of jobs could be accompanied by a shift in the key skills of the workforce, potentially deepening labor stratification. Based on the concept of “Virtual agglomeration”, this study elucidates how digital platforms are reshaping the spatial and structural dynamics of employment, moving beyond physical clusters to digital ecosystems. Paper proves that while AI acts as a “promotional” force for aggregate employment, it simultaneously risks reducing the role of human labor. Paper argues that the minimization of the risks “transforming human labor to the appendix of machine” might be possible on the basis of reskilling those workers from “Precarity” Cohort who’s their routine skills devalued by automation.
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