What the research says
The ILO’s 2025 occupational-exposure study estimates that one in four workers globally is in an occupation with some exposure to generative AI. Clerical work has the highest exposure, with some digital professional and technical tasks also affected.
The study examines task exposure and possible transformation. It concludes that changes within jobs are more likely than wholesale automation because many occupations still include tasks requiring human input.
Based on International Labour Organization [1]. This brief uses original wording; it is not a reproduction of the source article.
What this does not tell us
This is research published in May 2025, presented here as background rather than breaking news. Exposure is not a measurement of actual layoffs and is not a prediction that a particular person will lose their job.
LINKDOUT PERSPECTIVE · COMMENTARY
Bring it back to your working life
A more useful question than ‘Is my title exposed?’ may be ‘Which parts of my work are changing?’ List the tasks you do, where a tool helps, where it creates checking work and where human judgement is essential. If you discuss that list publicly, remove customer information and internal processes. You can use the exercise to frame a learning conversation without accepting every dramatic headline as a personal forecast.
Your experience belongs in the conversation
Has AI removed a task, changed the way you do it, or added more checking to your day?
Talk with the community →Read freely. Sign in with ChatGPT to post under a nickname. Pseudonyms do not guarantee anonymity.Sources & attribution
- International Labour OrganizationGenerative AI and Jobs: A Refined Global Index of Occupational Exposure ↗Original publication: · Accessed 27 Oct 2026
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Spot a factual problem? See how to flag a correction. Last source check: 27 Oct 2026.