Will AI replace Locomotive Engineers?
AI reaches some of this job’s work, but most of it stays with people.
24/100
Moderate exposure
More exposed to AI than 40% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 39% of the work
What the job involves
Drive electric, diesel-electric, steam, or gas-turbine-electric locomotives to transport passengers or freight. Interpret train orders, electronic or manual signals, and railroad rules and regulations.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(6)
- Interpret train orders, signals, or railroad rules and regulations that govern the operation of locomotives.
- Observe tracks to detect obstructions.
- Confer with conductors or traffic control center personnel via radiophones to issue or receive information concerning stops, delays, or oncoming trains.
- Prepare reports regarding any problems encountered, such as accidents, signaling problems, unscheduled stops, or delays.
- Check to ensure that brake examination tests are conducted at shunting stations.
and 1 more
Out of reach(9)
- Receive starting signals from conductors and use controls such as throttles or air brakes to drive electric, diesel-electric, steam, or gas turbine-electric locomotives.
- Monitor gauges or meters that measure speed, amperage, battery charge, or air pressure in brake lines or in main reservoirs.
- Inspect locomotives to verify adequate fuel, sand, water, or other supplies before each run or to check for mechanical problems.
- Inspect locomotives after runs to detect damaged or defective equipment.
- Operate locomotives to transport freight or passengers between stations or to assemble or disassemble trains within rail yards.
and 4 more
Also called
Engineer · Railroad Engineer · Train Engineer · Diesel Engineer · Diesel Locomotive Engineer · Freight Engineer · Narrow Gauge Engineer · Railroad Operating Engineer
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