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A World Bank report and documentary uncover that AI systems depend on a hidden workforce of 150-430 million low-paid data workers, often refugees or crisis-stricken populations in the Global South, who perform exploitative labeling and annotation tasks under secrecy.
A new report from Glean's Work AI Institute reveals that white-collar workers spend an average of 6.4 hours per week 'botsitting' AI—feeding context, checking outputs, and fixing errors—leading to job frustration and increased turnover risk.