Engineering the Digital Precariat: Architectures of Instability and Algorithmic Control in the Platform Economy

Abstract

This systematic literature review investigates the formation of the digital precariat within the platform economy, focusing on the systemic production of labor instability and the operation of algorithmic control. Through a qualitative thematic synthesis of scholarly works, the study addresses two research questions: how platform architecture and business models generate instability and erode social protection, and how algorithmic management governs platform labor. The analysis reveals that the precariat is not an accidental byproduct but a deliberate outcome of a business model built on the legal classification of workers as independent contractors, dynamic pricing, asymmetric commission structures, and maintained labor surplus. This architecture shifts all risks and costs onto workers while platforms retain control and extract stable value. Furthermore, algorithmic control operates through information asymmetries, rating-based discipline, pervasive surveillance, and gamification, which collectively erode worker autonomy, constrain agency, and critically undermine collective capacity by isolating and atomizing the workforce. The study concludes that the digital precariat is a class defined by technological connection coupled with economic vulnerability and social fragmentation, engineered by a political-economic model prioritizing flexible extraction and accountability avoidance. The findings necessitate a fundamental rethinking of labor regulation, advocating for new legal categories, portable social protections, algorithmic transparency, and innovative strategies for worker organization in the digital age.