AI’s productivity surge deepens labor precarity: systemic roots, global inequities, and policy gaps
Original framing: “Growth without work: The human cost of the AI revolution” — Rest of World
Community‑based organizations in Brazil’s favelas, Indian gig workers, and Black tech collectives in the United States have voiced concerns about algorithmic bias, wage theft, and loss of cultural labor. Their testimonies highlight intersecting oppressions of race, gender, and class that mainstream narratives overlook. Amplifying these voices reshapes the power calculus of AI governance.
The AI revolution is not a neutral technological wave but a contested terrain shaped by historic power imbalances, corporate tax avoidance, and divergent cultural values around work.
By foregrounding indigenous reciprocity, historical precedents of mechanisation, and cross‑cultural policy experiments, we see that the current trajectory can either deepen precarity or be redirected toward shared prosperity through targeted taxation, public commons, and lifelong learning aligned with climate justice. Marginalised voices and trickster insights expose the paradoxes hidden in celebratory narratives, urging a re‑imagining of productivity as a collective, not individual, good. Coordinated action among governments, labour organisations, and community‑led AI hubs can transform surplus into social infrastructure, ensuring that the benefits of automation are equitably distributed.