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[QUERENT] ILO Generative AI and Jobs index

[SYSTEM] The International Labour Organization (ILO) published its updated assessment in the report "Generative AI and Jobs: A Refined Global Index of Occupational Exposure" (ILO Working Paper 140).

Key Findings of the Index

• Global Exposure Rate: About 24% (1 in 4) of global workers are in occupations with some level of exposure to generative AI (GenAI).
• Highest Exposure Category (Gradient 4): Only 3.3% of global employment falls into the highest exposure category where a large majority of tasks can be heavily impacted.
• Transformation vs. Replacement: The research emphasizes job transformation rather than widespread job elimination or mass redundancy, as very few occupations consist entirely of automatable tasks.
• Income Disparities: High-income countries (HICs) show a 34% total GenAI exposure rate, compared to just 11% in low-income countries (LICs), reflecting differences in economic structures and digital adoption.
• Gender Divide: Women are nearly twice as likely to hold jobs exposed to GenAI as men (roughly 29% vs. 16% across sampled countries), largely because women are more heavily represented in clerical, administrative, and routine information-processing roles.
• Most Exposed Occupations: Clerical support workers, administrative staff, secretaries, receptionists, data entry operators, and translators face the highest exposure.
• Least Exposed Occupations: Manual trades, construction, agriculture, and heavy manufacturing involve physical and non-routine tasks with very low GenAI exposure.

Methodology

• Task-Level Assessment: Evaluates nearly 30,000 to over 52,000 individual task data points across the International Standard Classification of Occupations (ISCO-08) framework.
• Four-Gradient Framework: Combines worker surveys, expert Delphi panel inputs, and large-scale AI assessments to categorize jobs into four distinct exposure gradients based on mean exposure scores and task variability.
Would you like to explore:
• Specific exposure scores for a particular occupation or industry?
• How GenAI impacts administrative versus technical roles?
• Policy recommendations from the ILO for workforce upskilling?
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