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CONCEPT

One Hundred Nineteen to One

The ratio between what an engineer in Mountain View earns per hour and what a data annotator in Nairobi earns per hour labeling the training images that make the engineer's model work — the specific number Segal invokes in the foreword as the number that should haunt every AI optimist.
The ratio is not a market inefficiency awaiting correction. It is an institutional fact, produced by decades of accumulated infrastructure on one side and decades of accumulated absence on the other. The Mountain View engineer earns approximately $412/hour in 2023 industry compensation surveys; the Nairobi annotator earns approximately $3.47/hour under the conditions documented in the Muldoon study. The machine that sits between them — the AI system whose training depends on both — does not care about the ratio. It processes the annotator's labels and produces the engineer's outputs, and the market distributes the value it generates according to institutional arrangements that neither worker designed and neither can unilaterally change. The ratio is the most compact single statistic that captures what the You On AI Field Guide must reckon with: that democratization of tools has not been accompanied by democratization of the
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