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Mechanical

AI Impact: 47 / 100Knowledge AreaKnowledge
47/ 100
AI Impact Score
Partial Automation Likely
Risk Band
780
Occupations Using
2.55/ 5
Avg Importance

How AI Impact Is Derived

The AI Impact Score for Mechanical is derived by computing a weighted average of the AI exposure scores of all 780 occupations that use this knowledge. The weights are proportional to how important this knowledge is and at what level it is required within each occupation. Occupations that rely heavily on Mechanical at high levels receive more weight in the calculation, yielding a score of 47 / 100 (Partial Automation Likely).

Top Occupations Using Mechanical

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

RankOccupationAI Score
1Millwrights35
2Motorcycle Mechanics34
3Aircraft Mechanics and Service Technicians36
4Automotive Service Technicians and Mechanics34
5Motorboat Mechanics and Service Technicians34
6Mobile Heavy Equipment Mechanics, Except Engines34
7Aviation Inspectors57
8Farm Equipment Mechanics and Service Technicians33
9Bus and Truck Mechanics and Diesel Engine Specialists34
10Bicycle Repairers35
11Hydroelectric Plant Technicians57
12Aerospace Engineering and Operations Technologists and Technicians51
13Heating, Air Conditioning, and Refrigeration Mechanics and Installers35
14Wind Turbine Service Technicians34
15Solar Thermal Installers and Technicians30
16Maintenance Workers, Machinery34
17Geothermal Production Managers58
18Ship Engineers57
19Outdoor Power Equipment and Other Small Engine Mechanics35
20Avionics Technicians37