56
/100

SOC 49-3043

Rail Car Repairers

ElevatedFrey/Osborne: 88.0%

Risk Score

โš ๏ธ

56/100

Elevated

US Employment

๐Ÿ‘ฅ

18,300

Total workers

Median Wage

๐Ÿ’ฐ

$66K

$46K โ€“ $92K

Projected Growth

๐Ÿ“ˆ

+2.8%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

25/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Rail Car Repairers face a risk score of 56/100 โ€” 12 points above the national average of 44. With only 25/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $66K ($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 56/100, Rail Car Repairers 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 18,300 workers in this occupation should focus on strengthening skills in customer communication about technical issues and diagnosing novel equipment failures through physical inspection to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Rail Car Repairers?

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

Robotic inspection of hard-to-reach equipment

4

AI parts inventory and supply chain optimization

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer communication about technical issues

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Working in confined, elevated, or hazardous spaces

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

Record conditions of cars, and repair and maintenance work performed or to be performed.

โ€ข

Inspect components such as bearings, seals, gaskets, wheels, and coupler assemblies to determine if repairs are needed.

โ€ข

Repair or replace defective or worn parts such as bearings, pistons, and gears, using hand tools, torque wrenches, power tools, and welding equipment.

โ€ข

Inspect the interior and exterior of rail cars coming into rail yards to identify defects and to determine the extent of wear and damage.

โ€ข

Remove locomotives, car mechanical units, or other components, using pneumatic hoists and jacks, pinch bars, hand tools, and cutting torches.

๐Ÿ’ป Technology Skills

โ€ข

Document management software

โ€ข

Compiler and decompiler software

โ€ข

Spreadsheet software

โ€ข

Internet browser software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Production and Processing

โ€ข

Design

โ€ข

Administration and Management

โ€ข

Building and Construction

๐Ÿ“Š vs National Average

Median Wage$66K
+$19K

National avg: $46K

Risk Score56/100
+12

National avg: 44/100

GenAI Exposure25/100
-13

National avg: 38/100

Projected Growth2.8%
-0.9%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K57%
Electrical Power-Line Installers and Repairers28$93K71%
Supervisors of Installation, Maintenance, and Repair Workers33$78K76%