‘Someone else will do it for less’: Refugees in Kenya are powering tech for dwindling pay

Refugee gig workers for tech companies don’t know how much they’ll be paid – if AI hasn’t already taken their jobs In a portable building in Kakuma, a refugee camp near Kenya ’s northern border with South Sudan , Grace used ChatGPT to research translations of Christian hymns in languages she doesn’t speak. She didn’t know the client, the purpose of her work or whether she would be paid, but as a refugee unable to legally work in Kenya, she needed any opportunity she could get. Grace, who requested anonymity due to a nondisclosure agreement, prompted ChatGPT to translate the hymn’s English text into the assigned east Asian language. She then used the translation to search for existing versions and find information about its translator, author and Christian denomination. She fed those details to AOP Connect, a crowdsourced research platform owned by British AI enterprise software company RWS. Continue reading...

Refugees are exploited for tech work with uncertain pay.

The piece documents precarious, opaque labor conditions for refugees underpinning AI systems, with pay uncertainty and the looming threat of AI displacing even this marginal work. This reflects a concerning human cost embedded in AI's global supply chain, though the evidence is primarily one detailed case study rather than broad data.

Refugees in Kenya, unable to work legally, are performing AI-related gig work with no transparency on pay or client. This system exploits their vulnerable status, offering dwindling wages and the constant threat of AI replacing their jobs. This clearly demonstrates a negative impact on human flourishing for an already disadvantaged group.

The article describes a scenario where refugees are performing gig work using AI, but face uncertainty about payment and job security. This implies a concerning implication for human flourishing, as it exploits vulnerable populations and provides little economic stability.

SOURCE     The Guardian: Artificial Intelligence (tier 1)
   ↓
DOCUMENT   c03b62e3-62f9-44a4-837a-ecdc5600f816
           https://theguardian.com/technology/ng-interactive/2026/oct/08/ai-gig-work-refugees-kenya
   ↓
EVIDENCE   2 extracted excerpts
   ↓
MODEL RUN  4 runs, methodology 1.0.1
   ↓
SCORE      -68  (Strongly adverse)
   ↓
CONFIDENCE 80%