Will AI replace Signal and Track Switch Repairers?
AI reaches little of this job’s work.
4/100
Low exposure
More exposed to AI than 10% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 9% of the work
What the job involves
Install, inspect, test, maintain, or repair electric gate crossings, signals, signal equipment, track switches, section lines, or intercommunications systems within a railroad system.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(1)
- Record and report information about mileage or track inspected, repairs performed, and equipment requiring replacement.
Out of reach(11)
- Drive motor vehicles to job sites.
- Inspect and test operation, mechanical parts, and circuitry of gate crossings, signals, and signal equipment such as interlocks and hotbox detectors.
- Install, inspect, maintain, and repair various railroad service equipment on the road or in the shop, including railroad signal systems.
- Replace defective wiring, broken lenses, or burned-out light bulbs.
- Tighten loose bolts, using wrenches, and test circuits and connections by opening and closing gates.
and 6 more
Also called
Signal Maintainer · Signal Inspector · Signal Technician · Train Control Electronic Technician · Train Control Technician · Electric Track Switch Maintainer · Light Rail Signal Technician · Register Repairer
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