46
/100

SOC 49-9044

Millwrights

ElevatedFrey/Osborne: 59.0%

Risk Score

โš ๏ธ

46/100

Elevated

US Employment

๐Ÿ‘ฅ

40,660

Total workers

Median Wage

๐Ÿ’ฐ

$65K

$45K โ€“ $94K

Projected Growth

๐Ÿ“ˆ

0%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

19/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Millwrights face a risk score of 46/100 โ€” 2 points above the national average of 44. With only 19/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $65K ($19K 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 46/100, Millwrights faces moderate automation pressure. While tasks like predictive maintenance ai reducing reactive repair needs are increasingly handled by AI, the role retains significant human elements. The 40,660 workers in this occupation should focus on strengthening skills in diagnosing novel equipment failures through physical inspection and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Millwrights?

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

โš ๏ธ Top Risk Factors

1

Predictive maintenance AI reducing reactive repair needs

2

Augmented reality-guided remote diagnostics

3

Automated fault detection via IoT sensor networks

4

Robotic inspection of hard-to-reach equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Hands-on fine motor work in intricate machinery

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

Replace defective parts of machine, or adjust clearances and alignment of moving parts.

โ€ข

Align machines or equipment, using hoists, jacks, hand tools, squares, rules, micrometers, lasers, or plumb bobs.

โ€ข

Insert shims, adjust tension on nuts and bolts, or position parts, using hand tools and measuring instruments, to set specified clearances between moving and stationary parts.

โ€ข

Signal crane operator to lower basic assembly units to bedplate, and align unit to centerline.

โ€ข

Conduct preventative maintenance and repair, and lubricate machines and equipment.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

โ€ข

Word processing software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Mathematics

โ€ข

Building and Construction

โ€ข

Education and Training

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$65K
+$19K

National avg: $46K

Risk Score46/100
+2

National avg: 44/100

GenAI Exposure19/100
-19

National avg: 38/100

Projected Growth0.0%
-3.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
Electrical Power-Line Installers and Repairers28$93K81%
Supervisors of Installation, Maintenance, and Repair Workers33$78K71%