Gender.xlsx

	A	B	C	D
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2	Figure 7. Share of employment potentially exposed to generative AI, by sex, region and exposure, 2025 (percentage)
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4	Region	Sex	Highly Exposed	Total Exposed
5	Central and Southern Asia	Women	1,4	9,0
6	Central and Southern Asia	Men	2,5	20,6
7	Sub-Saharan Africa	Women	0,6	22,1
8	Sub-Saharan Africa	Men	0,8	15,6
9	Oceania (excl. Australia and New Zealand)	Women	2,2	22,1
10	Oceania (excl. Australia and New Zealand)	Men	1,6	18,8
11	Northern Africa and Western Asia	Women	4,7	28,5
12	Northern Africa and Western Asia	Men	2,0	22,7
13	Eastern and South-eastern Asia	Women	5,2	30,4
14	Eastern and South-eastern Asia	Men	2,5	20,6
15	Latin America and the Caribbean	Women	5,2	31,4
16	Latin America and the Caribbean	Men	2,5	21,6
17	Europe and Northern America	Women	9,3	40,2
18	Europe and Northern America	Men	3,5	27,5
19	Australia and New Zealand	Women	9,5	40,5
20	Australia and New Zealand	Men	3,5	27,9
21	World	Women	4,6	27,6
22	World	Men	2,4	21,1
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24	Source: ILO. 2025. Generative AI and Jobs. A Refined Global Index of Occupational Exposure. Data set updated July 2025. Notes: Data as of 24 July 2024. The 'Highly exposed' jobs are occupations with the highest share of tasks exposed to potential generative AI-driven automation, and with a high consistency of this exposure across tasks (highest exposure, low task variability).
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