A recent joint study by the UN's International Labour Organization and Poland's NASK highlights the disproportionate impact of AI on women's jobs in high-income countries. With about a quarter of jobs globally exposed to generative AI, the risk is significantly greater for women, especially in clerical and administrative roles. The research indicates that while jobs may evolve with AI, many tasks within those jobs are at risk of automation. This shift necessitates proactive engagement from governments and organizations to adapt to these changes.
We went beyond theory to build a tool grounded in real-world jobs. By combining human insight, expert review, and generative AI models, we've created a replicable method that helps countries assess risk and respond with precision.
We stress that such exposure does not imply the immediate automation of an entire occupation, but rather the potential for a large share of its current tasks to be performed using this technology.
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