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Information Ordering

AI Impact: 54 / 100AbilitieCognitive
54/ 100
AI Impact Score
Partial Automation Likely
Risk Band
894
Occupations Using
3.38/ 5
Avg Importance

How AI Impact Is Derived

The AI Impact Score for Information Ordering is derived by computing a weighted average of the AI exposure scores of all 894 occupations that use this ability. The weights are proportional to how important this ability is and at what level it is required within each occupation. Occupations that rely heavily on Information Ordering at high levels receive more weight in the calculation, yielding a score of 54 / 100 (Partial Automation Likely).

Top Occupations Using Information Ordering

Ranked by how intensely this ability is used (importance × level).

RankOccupationAI Score
1Physicists71
2Emergency Medicine Physicians41
3Mathematicians73
4Marine Engineers and Naval Architects51
5Robotics Engineers52
6Photonics Engineers52
7Chemical Engineers55
8Molecular and Cellular Biologists51
9Bioinformatics Scientists51
10Construction Managers58
11Medical Scientists, Except Epidemiologists52
12Biochemists and Biophysicists51
13Physical Medicine and Rehabilitation Physicians41
14Nanotechnology Engineering Technologists and Technicians49
15Survey Researchers59
16Automotive Engineers53
17Preventive Medicine Physicians41
18Astronomers54
19Neurologists41
20Biostatisticians72