Digitalization and Labor Market Dynamics: a Critical Theoretical Perspective on Cumulative Digital Labor Vulnerability

Digitalization has become one of the defining forces shaping economic development and labor market transformation in the twenty-first century. The rapid integration of digital technologies—including artificial intelligence, robotics, big data analytics, cloud computing, digital platforms, and algorithmic management—has fundamentally altered production systems, organizational structures, and employment relationships. While these innovations have generated substantial gains in productivity, flexibility, and economic competitiveness, they have simultaneously intensified structural inequalities and introduced new forms of labor market vulnerability. This paper develops a critical theoretical perspective on the relationship between digitalization and labor market dynamics by emphasizing that technological change cannot be understood independently of the institutional, economic, and social environments in which it occurs. Rather than viewing digitalization as a neutral or purely technological process, the study conceptualizes it as a socially embedded transformation shaped by political decisions, organizational practices, regulatory frameworks, and unequal distributions of resources and power. The methodology is based on a critical conceptual analysis and an interdisciplinary review of relevant theoretical contributions from labor economics, sociology of work, institutional economics, and critical digital studies. This approach enables the development of an integrated analytical framework for examining the mechanisms through which digital transformation generates cumulative labor market vulnerabilities.
The principal contribution of the paper consists in proposing the concept of Cumulative Digital Labor Vulnerability (CDLV). This concept explains how several dimensions of digital transformation—including automation-induced employment insecurity, digital skill inequalities, unequal technological access, algorithmic management, and the psychosocial consequences of digitally mediated work—interact over time to generate cumulative disadvantages for particular categories of workers. Instead of emerging as isolated phenomena, these dimensions reinforce one another through dynamic feedback mechanisms that gradually increase employment instability and deepen labor market segmentation.
Drawing upon contributions from labor economics, sociology of work, institutional economics, and critical digital studies, the paper develops an integrated analytical framework capable of explaining both the opportunities and the structural risks generated by digital transformation. Particular attention is devoted to the role of labor market institutions, lifelong learning systems, social protection mechanisms, and public policies in mediating the effects of technological innovation. The analysis argues that future labor market resilience will depend not only on technological progress itself but also on the capacity of institutions to reduce cumulative vulnerabilities, promote inclusive digital transitions, and ensure that the benefits of innovation are distributed more equitably across workers, sectors, and regions.