Data entry clerks
Gradient 4
0.75 tasks · standard deviation 0.029
Work and AI · public data
Exposure to AI by occupation
Consult the ILO index categories, compare professions and see how exposure varies between tasks in each occupation.
2025 Index. Sources checked in 15/10/2026.
The scores describe the technical possibility of performing tasks with AI, on a scale from 0 to 1. They do not indicate the likelihood of someone losing their job. The selection below counts occupations and tasks from the file, without weighting by the number of workers.
Explore the base
427 available occupations427 occupations ·3265 tasks in selection
The bars show the composition of the sample by number of occupations, not employment participation. Translated names are read labels; the original codes and names remain in the font file.
Calculated average of tasks0 to 1
Compare occupations
Up to four, on the same scaleSoftware developers
Gradient 3
0.5278 tasks · standard deviation 0.071
The comparison uses the manual selection above, independent of the list filter. Score differences do not measure productivity gains or individual risk.
Origin, coverage and update
The authors' file contains 427 occupations and 3,265 tasks. The article describes the ISCO-08 classification with 436 occupations. This interface only shows records present in the file and does not fill in missing scores.
Means and standard deviations were recalculated from the tasks in the authors' file, with greater precision than the rounded values in the PDF. Checking the 427 lines found a difference greater than the rounding tolerance: code 7126. This difference appears in the details of occupation and downloads.
The March ILO study 2026 discusses how connectivity and organization of tasks vary between countries. It complements the interpretation of this index. The scores displayed continue to belong to the 2025 base and have not been converted into predictions for Brazil.
- Gmyrek et al., ILO Working Paper 140, 2025
- File and explorer published by authors
- Gmyrek, Viollaz and Winkler, ILO Working Paper 166, 2026
© ILO. Data under license CC BY 4.0. Independent adaptation of the Rovemark, with its own calculations and interface. The ILO has not prepared, reviewed or endorsed this adaptation and is not responsible for its content or accuracy. There is no institutional link or endorsement for Rovemark.