AI-driven precarity: How algorithmic management deepens gig work exploitation and erodes labor rights globally
Original framing: “Gig workers are endlessly exploited. AI could make more of us share their fate” — The Guardian - Technology
Studies show algorithmic management increases worker stress, reduces autonomy, and correlates with higher rates of burnout and mental health issues (e.g., Moore & Robinson, 2016). Research on platform monopolies (e.g., Srnicek, 2017) demonstrates how gig work concentrates power in the hands of a few corporations, exacerbating inequality. The scientific consensus on AI’s labor-displacing effects is clear, yet corporate narratives frame it as 'efficiency' rather than a tool of control.
The gig economy’s expansion under AI is not a technological inevitability but a deliberate strategy of platform capitalism to dismantle labor protections and concentrate wealth, echoing historical patterns of industrial exploitation while leveraging digital tools for surveillance and control.
This phenomenon disproportionately harms marginalized workers—women of color, migrants, and Global South populations—whose experiences are erased in mainstream narratives that frame gig work as 'flexibility.' Indigenous and communal economic models, from Kerala’s cooperatives to Ubuntu philosophy, offer proven alternatives to algorithmic precarity, yet these are systematically excluded by Silicon Valley’s extractive logics. The solution lies in dismantling platform monopolies through worker ownership, algorithmic transparency, and global solidarity, while centering the voices of those most impacted by AI-driven precarization. The trickster’s lens reveals the absurdity of framing gig work as 'innovation,' exposing it instead as a rebranded form of old-fashioned exploitation dressed in futuristic code.