O*NET Skills — AI Impact Index
35 skills ranked by AI impact score derived from occupation-level exposure data across 1,000+ US jobs.
35
Total Elements
52
/ 100
Avg AI Impact
59
Programming
Most AI-Impacted
41
Installation
Most AI-Resistant
Basic
6 elementsComplex Problem Solving
1 elementsResource Management
4 elementsSocial
6 elementsSystems
3 elementsTechnical
11 elementsProgramming
59745 occupations
View →Operations Analysis
55829 occupations
View →Technology Design
53835 occupations
View →Quality Control Analysis
50870 occupations
View →Operations Monitoring
50886 occupations
View →Operation and Control
48766 occupations
View →Troubleshooting
47744 occupations
View →Equipment Selection
46635 occupations
View →Equipment Maintenance
45497 occupations
View →Repairing
44483 occupations
View →Installation
41278 occupations
View →Methodology
AI Impact Scores for each element are derived by computing a weighted average of the AI exposure scores of all occupations that use that element. The weights are proportional to the element's importance and level within each occupation — so an element that is critically important at a high level to highly-automated occupations scores highest. Occupation AI exposure data combines O*NET task routine-intensity, the academic AIOE index, and BLS employment projections.