Algorithmic Management and Labour Protection in India's Gig Economy: A Critical Analysis of Worker Experiences and Recent Legislative Reforms

This paper examines the evolving landscape of India's gig economy through the dual lenses of algorithmic management systems and recent labour law reforms. Drawing on primary interviews with platform workers in Delhi-NCR and analysis of the Code on Social Security, 2020, this study reveals a complex paradox: while India has enacted progressive legislation to formalize and protect gig workers, the lived experiences of these workers remain characterized by algorithmic opacity, income instability, and limited access to statutory benefits. The research employs a mixed-methods approach combining qualitative interviews with delivery partners on platforms like Blinkit, secondary analysis of policy documents, and critical examination of algorithmic management practices. Key findings indicate that despite legislative recognition and the establishment of social security frameworks, significant implementation gaps persist. Workers face declining incentives, unpredictable algorithmic task allocation, lack of transparency in performance metrics, and minimal awareness of their legal entitlements. The study identifies gender-specific vulnerabilities, highlighting how female gig workers encounter additional barriers including safety concerns and absence of maternity benefits.