Entangled Independence: From Labor Rights to Gig "Empowerment" Under the Algorithmic Gaze

This study offers a critical analysis of how the Indian gig platform, Urban Company (UC), mobilizes the promise of empowerment to assemble, discipline and algorithmically entangle its gig labor force. Much of the scholarship on gig work has described how the (mis)classification of gig workers as independent contractors allows gig corporations to abdicate their employment responsibilities, thereby disentangling the traditional employer-employee relationship. By contrast, UC promises to invest in it's Indian gig workforce, with offerings such as health insurance and financial loans to counter the enduring socio-economic precarity of the Indian labor market. However, through a critical content analysis of UCs' public media, we find that UC's organization of such ''social security'' benefits rests on an insidious system of algorithmic evaluation and classification. Access to benefits is conditional, determined by the platform's algorithmic control mechanisms, which classify workers as worthy or unworthy on a shifting basis. Mobilizing Agre's analysis of business discourses of ''empowered work'', we highlight how UC's algorithmic classification of workers creates a system of ''conditional empowerment.'' This system reflects a critical shift in the labor process, from rights-based labor regimes to a neoliberal social order where individuals must constantly prove their worth.