Will AI replace Rail-Track Laying and Maintenance Equipment Operators?
AI reaches little of this job’s work.
0/100
Low exposure
More exposed to AI than 2% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 0% of the work
What the job involves
Lay, repair, and maintain track for standard or narrow-gauge railroad equipment used in regular railroad service or in plant yards, quarries, sand and gravel pits, and mines. Includes ballast cleaning machine operators and railroad bed tamping machine operators.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Out of reach(26)
- Repair or adjust track switches, using wrenches and replacement parts.
- Patrol assigned track sections so that damaged or broken track can be located and reported.
- Engage mechanisms that lay tracks or rails to specified gauges.
- Cut rails to specified lengths, using rail saws.
- Operate track wrenches to tighten or loosen bolts at joints that hold ends of rails together.
and 21 more
Also called
Track Laborer · Track Maintainer · Trackman · Track Repairer · Track Mechanic · Track Inspector · Ballast Cleaning Machine Operator · Portable Grinding Machine Operator
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics