Employment Law Evolution: From Industrial Relations to Algorithmic Management

The trajectory of employment law has historically mirrored the dominant modes of production, evolving from the master-servant doctrines of the pre-industrial era to the collective bargaining frameworks of the Fordist industrial age. However, the contemporary workplace is undergoing a seismic shift driven by the datafication of labor and the ascendancy of Algorithmic Management (AM). This article provides an exhaustive analysis of this legal and operational evolution, tracing the lineage from scientific management (Taylorism) to its digital reincarnation (“Digital Taylorism”). It critically examines how the rise of algorithmic control- characterized by pervasive surveillance, automated decision-making (ADM), and the fissuring of the workplace- challenges the foundational assumptions of industrial relations systems designed for human-centric hierarchies. Through a comparative legal analysis of the European Union, the United States, and emerging economies such as India and China, the article explores the regulatory lag in addressing algorithmic bias, automated termination, and the classification of platform workers. Furthermore, it posits that the future of labor law lies in the reconceptualization of data rights as collective labor rights, necessitating a new paradigm of “algorithmic collective action” and co-enforcement mechanisms to bridge the widening gap between technological capability and worker protection.