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The labor economics of cognitive work turn on one variable: the marginal cost of executing a repeatable task. When that cost falls, employers restructure headcount before workers can reprice their skills.
Goldman Sachs has now found that artificial intelligence is moving that margin in observable ways, with the bank's research pointing to employment pressure already visible across developed economies.
The significance sits in the tense. For years, the dominant frame around AI and labor has been prospective, treating displacement as a risk to be modeled and not yet measured.
Goldman's researchers are now describing something present in the data. The signal is here; the forecast is behind. Goldman's scope is developed economies specifically. That geographic focus is not incidental.
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