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Updated: Feb 6

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Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

54.2%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Low-medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Rail Car Repairers

They fix and maintain train cars by checking for problems, replacing broken parts, and ensuring everything works safely for travel.

Summary

The career of a rail car repairer is labeled as "Evolving" because AI is starting to be used to help with inspections and planning, like spotting problems before they get worse. While AI can handle some routine tasks, the core repair work, such as fixing complicated parts and using skilled judgment, still needs human hands and minds.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info

Summary

The career of a rail car repairer is labeled as "Evolving" because AI is starting to be used to help with inspections and planning, like spotting problems before they get worse. While AI can handle some routine tasks, the core repair work, such as fixing complicated parts and using skilled judgment, still needs human hands and minds.

Read full analysis

Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

66.7%

66.7%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

93.2%

93.2%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

36.5%

36.5%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

2.8%

Growth Percentile:

49.4%

Annual Openings:

1.5

Annual Openings Pct:

17.1%

Analysis of Current AI Resilience

Rail Car Repairers

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Some railroads now use AI to help with inspections and planning, but the hands-on repair work stays mostly human. For example, Norfolk Southern set up trackside cameras that take hundreds of pictures of each passing train and use AI to flag cracks or worn wheels automatically [1]. Companies also use sensor data (like vibration or heat) and machine learning to predict when parts might fail, so they can fix things before a breakdown [2].

These “predictive maintenance” tools can cut down on paperwork and routine checks, freeing technicians to focus on tougher tasks [2] [1].

In repair shops, there are smart tools too. A robotics company built a gantry robot that automatically machines heavy train wheels on a computer-controlled lathe, which speeds up wheel truing and keeps workers safer [3]. However, complex repairs – like replacing a damaged axle, welding a broken coupler, or fitting new gears – still require skilled mechanics.

As one industry expert points out, AI can handle repetitive jobs, but it’s “a big leap” for a machine to match the critical thinking and craftsmanship of a railcar mechanic on the job [2]. In short, AI is augmenting the job by catching problems early, but the core fixing and fitting work remains human.

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AI Adoption

AI Adoption

Railroads may bring in AI more slowly than other industries. On the one hand, they want to save money and improve safety. Trains have many expensive parts and serve tight schedules, so anything that cuts downtime is appealing [2].

Also, the industry has faced a labor crunch – many veteran mechanics are retiring [4] – so tools that help a smaller crew do more could be attractive. In theory, spotting wear and scheduling repairs with AI could keep trains running smoothly and protect workers by catching hazards early [1] [4].

On the other hand, high costs and strict rules make change slow. Setting up AI systems or robots costs a lot of money up-front, and each rail yard would need custom equipment. Rail maintenance is also heavily regulated and unionized – recent proposals to replace human track inspectors with sensors met strong objections from unions and lawmakers [5].

Unions argue that machines can miss subtle defects that a person would catch [5]. For example, one plan to cut 75% of manual track checks with automated systems was opposed because “sensors… cannot detect many defects that human inspectors can” [5]. Companies will weigh those concerns against the benefits.

With repairers earning around \$28/hour on average (about \$58K/year) [6], a railroad would only install expensive robots or AI if it clearly improves efficiency or safety.

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More Career Info

Career: Rail Car Repairers

Employment & Wage Data

Median Wage

$65,680

Jobs (2024)

17,900

Growth (2024-34)

+2.8%

Annual Openings

1,500

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

75% ResilienceSupplemental

Install and repair interior flooring, fixtures, walls, plumbing, steps, and platforms.

2

65% ResilienceCore Task

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

3

65% ResilienceCore Task

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

4

65% ResilienceCore Task

Adjust repaired or replaced units as needed to ensure proper operation.

5

65% ResilienceSupplemental

Repair, fabricate, and install steel or wood fittings, using blueprints, shop sketches, and instruction manuals.

6

65% ResilienceSupplemental

Repair and maintain electrical and electronic controls for propulsion and braking systems.

7

65% ResilienceSupplemental

Measure diameters of axle wheel seats, using micrometers, and mark dimensions on axles so that wheels can be bored to specified dimensions.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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