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Hidden Underbelly of the Silicon Valley: Algorithmic Exploitation and Health in Data Work Value Chains
URL SCAN: Hidden Underbelly of the Silicon Valley: Algorithmic Exploitation and Health in Data Work Value Chains
FIRST LINE: Computer Science > Computers and Society
The Dissection
The abstract exposes the concealed cost transfer behind AI: Silicon Valley captures model value, intermediaries manage labor, and Kenyan workers absorb physical and psychological damage. It is a casualty report on the human substrate powering advanced systems. Its weakness is treating data work as a possible development ladder rather than transitional scaffolding.
The Core Fallacy
It treats exploitation as the primary defect in a labor arrangement that is temporary by design. Better pay, transparency, or health protections may redistribute some cost; they do not restore the wage-to-consumption circuit or give workers control of AI capital. Under the Discontinuity Thesis, data work itself is exposed to cognitive automation. Workers can be harmed first and made redundant afterward.
Hidden Assumptions
- Data work will remain a scalable, durable source of development.
- Labor protections can preserve human economic centrality.
- Visibility will create sufficient leverage against cross-border cost arbitrage.
- Health damage is a correctable externality rather than a predictable result of margin minimization.
- Inclusion in AI production means durable participation in its gains.
- Institutions can coordinate effectively enough to constrain replacement and relocation.
- Worker conditions matter to the system beyond the point at which human labor becomes economically unnecessary.
Social Function
Partial truth with a transition-management function. The paper makes real violence visible, but its reform frame can domesticate a structural break into a compliance problem: clean up the supply chain and AI’s legitimacy can be repaired. That leaves ownership, control of compute and models, and eventual labor replacement largely untouched.
The Verdict
The paper is valuable as an autopsy of AI’s early labor regime, not as a survival map. From the supplied abstract, it supports reported harms among surveyed and interviewed workers, not a quantified universal law. Its deeper evidence is still severe: AI value is being built through disposable human labor whose costs are externalized to the Global South. The likely sequence is exploitation, attempted regulation, margin compression, automation or substitution, then displacement. The underbelly is not an anomaly beneath Silicon Valley. It is the labor reservoir that makes the transition profitable until the system no longer needs it.
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