Will AI replace rail-track laying and maintenance equipment operators?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 31m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The other 5h 29m (69%) stays with people. Separately, BLS expects about 1.5% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 8 of this job's tasks in workplaces like this one, about 2h 31m of a typical shift. 15 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 3 physical tasks, no robot has shown it can do the work yet.

• Patrol assigned track sections so that damaged or broken track can be located and reported. (39m a shift; e.g. Automated Track Inspection / Track Geometry Measurement Systems (industry ATI programs under AAR waiver), in use)
• Adjust controls of machines that spread, shape, raise, level, or align track, according to specifications. (33m a shift; e.g. System7 705 ballast regulator, in use)
• Clean, grade, or level ballast on railroad tracks. (26m a shift; e.g. System7 705 fully automatic ballast regulator, sold commercially)
• Observe leveling indicator arms to verify levelness and alignment of tracks. (13m a shift; e.g. Plasser & Theurer ALC automatic guiding computer / tamping machine measuring system, in use)

5h 29m of a typical shift, or 69%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Repair or adjust track switches, using wrenches and replacement parts. (33m a shift)
• Drive graders, tamping machines, brooms, or ballast spreading machines to redistribute gravel or ballast between rails. (33m a shift)
• Operate track wrenches to tighten or loosen bolts at joints that hold ends of rails together. (26m a shift)
• Clean tracks or clear ice or snow from tracks or switch boxes. (26m a shift)
• Raise rails, using hydraulic jacks, to allow for tie removal and replacement. (26m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 96% work at arm's length or closer to other people
• 95% work outdoors in all weather every day
• 84% carry high or very high responsibility for other workers' safety

On Indeed, job postings in the Construction sector are at 129% of their February 2020 level (all U.S. postings: 104%), up 6.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 1,200 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $70,070 a year ($33.69 an hour), 37% above the median for all U.S. jobs ($50,980). Most people in this job earn between $45,640 and $87,420 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 1.5% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 18,000 jobs in 2035. It expects about 1,200 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 20,000 people in the U.S., roughly 0.01% of all workers (BLS, May 2025). That makes it the 555th largest of the 796 jobs on this site. BLS expects about 18,000 in 2035.

The most common requirement is a high school diploma: about 90% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Equipment Maintenance, Operation and Control, Repairing, Operations Monitoring
• Get strong at the parts of the job that stay with people (listed above), which take 5h 29m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Pile Driver Operators (0m touched, $73k median pay)
• Helpers for Electricians (23m touched, $43k median pay)
• Roustabouts, Oil and Gas (28m touched, $47k median pay)
• Floor Sanders and Finishers (0m touched, $50k median pay)
• Carpenters (6m touched, $61k median pay)

Each task carries its own evidence label. For this job: 6 with robots in real deployments, 2 with robots sold or demonstrated, 18 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.