Date context: publication
ILO's model estimates that roughly a quarter of global employment is in occupations with some generative-AI exposure. It combines task data, worker and expert assessments and model predictions into four exposure levels. Administrative work is particularly exposed, while continued human contributions make job transformation more likely than full automation in the report's assessment.
International Labour Organization · 2025-05-20
ILO research brief and published methodology overview checked; full study and occupational tables not independently reviewed.
What the source shows
ILO's model estimates that roughly a quarter of global employment is in occupations with some generative-AI exposure. It combines task data, worker and expert assessments and model predictions into four exposure levels. Administrative work is particularly exposed, while continued human contributions make job transformation more likely than full automation in the report's assessment. Source: International Labour Organization, 2025-05-20
What the material does not establish
Exposure is technical potential, not actual adoption or the probability of losing a job. Initial task assessments use Poland's occupational classification before mapping to international groups. Local roles require their own reviewed task analysis. Source: International Labour Organization, 2025-05-20
For HR, AI + JJ
AI + JJ, application: Break one HR role into tasks: finding material, drafting, coordinating and deciding. Which can receive AI support, and where do experience, relationships and judgment matter most? Source: International Labour Organization, 2025-05-20