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  "documentTitle": "Effects of GenAI on the German labor market",
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  "notes": "The chart plots rescaled AI augmentation score (y-axis) against cumulative US employment share (x-axis).",
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      "text": "Our findings are quite striking, with 66% of US employment with moderate to high GenAI exposure, or the equivalent of 104 million jobs across the country.",
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      "text": "Our findings are quite striking, with 66% of US employment with moderate to high GenAI exposure, or the equivalent of 104 million jobs across the country (Chart 1). Within those, roughly 18% of total employment, or 28 million jobs, would have a high AI augmentation score, and 5% of employment, or 8 million jobs, would have a very high augmentation score. Importantly, the remaining 34%, which have the lowest AI-exposure score, could still be marginally affected by AI via some secondary tasks.",
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      "text": "Using the International Labor Organization's International Standard Industrial Classification of all economic activities, we then applied the raw AI augmentation scores across industries in 80 economies worldwide. We assumed that in emerging markets the agriculture, forestry and fishing sector had a low AI exposure score. Our findings show that globally about 59% of the workforce is highly or moderately exposed to GenAI, with 67% in developed economies and 57% across emerging economies.",
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