WorkProblem 0010
We can now say with some precision which occupations generative AI reaches first, how that varies by country, and that the exposure falls hardest on clerical and administrative work done mostly by women. What does not exist is the other half: a route from an exposed role into an adjacent one that uses the same accumulated judgment. Retraining is too often offered as courses unrelated to what the person already knows how to do.
Who lives with itClerical, administrative and business support workers · employers holding the institutional knowledge in those roles · public employment services
Why nowThe ILO finds 29% of female-dominated occupations carry exposure to generative AI against 16% of male-dominated ones, with exposure reaching around 41% of jobs in high-income countries versus 11% in low-income ones, and women more exposed than men in 88% of the countries analysed.
Why it matters · the JudgeThe measurement is done and the response is missing, which is an unusually clear place to build. Mapping what an exposed role actually contains onto roles needing those same capabilities is a matching problem, and matching problems are tractable.
Inspired by reporting from International Labour Organization