![]() ![]() “The Venezuela example made so clear how it’s a mixture of poverty and good infrastructure that makes this type of phenomenon possible,” Schmidt says. ![]() ![]() What began in Venezuela set an expectation among players in the AI industry for how little they should have to pay for such services, and it created a playbook for how to meet the prices that clients have come to rely on. Now, as some platforms are turning their attention to other countries in search of even cheaper pools of labor, the model could continue to spread. To a growing chorus of experts, the arrangement echoes a colonial past when empires exploited the labor of more vulnerable countries and extracted profit from them, further impoverishing them of the resources they needed to grow and develop. “There are huge power imbalances,” says Julian Posada, a PhD candidate at the University of Toronto who studies data annotators in Latin America. ![]()
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