54
/100

SOC 49-9041

Industrial Machinery Mechanics

ElevatedFrey/Osborne: 67.0%

Risk Score

โš ๏ธ

54/100

Elevated

US Employment

๐Ÿ‘ฅ

421,940

Total workers

Median Wage

๐Ÿ’ฐ

$64K

$45K โ€“ $93K

Projected Growth

๐Ÿ“ˆ

+16.1%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

49/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Industrial Machinery Mechanics face a risk score of 54/100 โ€” 10 points above the national average of 44. With only 49/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $64K ($17K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 54/100, Industrial Machinery Mechanics faces moderate automation pressure. While tasks like automated fault detection via iot sensor networks are increasingly handled by AI, the role retains significant human elements. The 421,940 workers in this occupation should focus on strengthening skills in adapting repairs to non-standard or legacy equipment and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Industrial Machinery Mechanics?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated fault detection via IoT sensor networks

2

Augmented reality-guided remote diagnostics

3

AI parts inventory and supply chain optimization

4

Predictive maintenance AI reducing reactive repair needs

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Hands-on fine motor work in intricate machinery

โœ“

Customer communication about technical issues

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Repair or maintain the operating condition of industrial production or processing machinery or equipment.

โ€ข

Repair or replace broken or malfunctioning components of machinery or equipment.

โ€ข

Clean, lubricate, or adjust parts, equipment, or machinery.

โ€ข

Disassemble machinery or equipment to remove parts and make repairs.

โ€ข

Reassemble equipment after completion of inspections, testing, or repairs.

๐Ÿ’ป Technology Skills

โ€ข

Industrial control software

โ€ข

Computer aided design CAD software

โ€ข

Computer aided manufacturing CAM software

โ€ข

Inventory management software

โ€ข

Facilities management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Production and Processing

โ€ข

Engineering and Technology

โ€ข

Design

๐Ÿ“Š vs National Average

Median Wage$64K
+$17K

National avg: $46K

Risk Score54/100
+10

National avg: 44/100

GenAI Exposure49/100
+11

National avg: 38/100

Projected Growth16.1%
+12.4%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K53%
Electrical Power-Line Installers and Repairers28$93K82%
Supervisors of Installation, Maintenance, and Repair Workers33$78K72%