Rail-Track Laying and Maintenance Equipment Operators
In short: today's best AI models could do about 0% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 100% of the time, stays with people.
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.
19,580 people do this job in the US. $70,070 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on0 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people40 h
Rail-Track Laying and Maintenance Equipment Operators, now: of a 40-hour week, AI could take on 0 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 40 hours stay with people.
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 0%
- 0%
- 100%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 0%. Today's estimate: 0%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
None of this job's 26 tasks showed up in the Claude.ai conversations Anthropic sampled in any of its 7 releases, from February 2025 to May 2026.
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 100% of this job's working time as physical work. For 86% of the working time, a robot has been shown doing most of the task somewhere: 55% in a purpose-built cell, 29% in a structured facility, 3% in any setting. 1.21 of 3, the 56th highest of the 923 jobs.
- No robot shown 14%
- In a purpose-built cell 55%
- In a structured facility 29%
- In any setting 3%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 26 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Drive vehicles that automatically move and lay tracks or rails over sections of track to be constructed, repaired, or maintained.Done daily by most who do it. Robots: in a purpose-built cell, Harsco Rail Drone Tamper (AutoMag Tie Finder) (sold). Anthropic's rating. | 16% | 1.7 h50 min to 5 h | Stays with people | |
| Patrol assigned track sections so that damaged or broken track can be located and reported.Done more than monthly by most who do it. Robots: in a structured facility, Automated Track Inspection / Track Geometry Measurement Systems (industry ATI programs under AAR waiver) (Association of American Railroads member railroads / FRA) (deployed). Anthropic's rating. | 9% | 1.7 h50 min to 3.3 h | Stays with people | |
| Dress and reshape worn or damaged railroad switch points or frogs, using portable power grinders.Done more than monthly by most who do it. Robots: in a purpose-built cell, ROBEL ROBOT (Rail Automation, FANUC arms) (demonstrated). Anthropic's rating. | 9% | 1.3 h25 min to 2.5 h | Stays with people | |
| Clean, grade, or level ballast on railroad tracks.Done more than yearly by most who do it. Robots: in a structured facility, System7 705 fully automatic ballast regulator (sold). Anthropic's rating. | 7% | 1.7 h25 min to 3.3 h | Stays with people | |
| Operate track wrenches to tighten or loosen bolts at joints that hold ends of rails together.Done daily by most who do it. Robots: in a purpose-built cell, 3D vision-guided robotic bolt-tightening station (van rear axle damper line) (INESC TEC with automotive manufacturer) (deployed). Anthropic's rating. | 7% | 25 min8 min to 1.3 h | Stays with people | |
| Operate single- or multiple-head spike driving machines to drive spikes into ties and secure rails.Done more than monthly by most who do it. Robots: in a purpose-built cell, Nordco NXV Spiker (sold). Anthropic's rating. | 6% | 38 min17 min to 1.7 h | Stays with people | |
| Repair or adjust track switches, using wrenches and replacement parts.Done more than monthly by most who do it. Robots: in a purpose-built cell, IAS Corp automated railroad turnout processing line (Yaskawa Motoman robots) (deployed). Anthropic's rating. | 5% | 1.3 h25 min to 2.5 h | Stays with people | |
| Weld sections of track together, such as switch points and frogs.Done more than yearly by most who do it. Robots: in a purpose-built cell, Schlatter GAAS80 stationary flash-butt rail welding machine (sold). Anthropic's rating. | 4% | 2.5 h50 min to 5 h | Stays with people | |
| Engage mechanisms that lay tracks or rails to specified gauges.Done more than weekly by most who do it. Robots: in a purpose-built cell, Plasser & Theurer / Eiffage Rail 09-4x4 continuous-action tamping machine with Plasser SmartTamping (demonstrated). Anthropic's rating. | 4% | 25 min13 min to 1.3 h | Stays with people | |
| Operate single- or multiple-head spike pullers to pull old spikes from ties.Done more than yearly by most who do it. Robots: no robot shown. Anthropic's rating. | 4% | 38 min17 min to 1.7 h | Stays with people | |
| Drill holes through rails, tie plates, or fishplates for insertion of bolts or spikes, using power drills.Done more than weekly by most who do it. Robots: in a purpose-built cell, Robel Rail Automation robotic rail repair system (with FANUC robots) (demonstrated). Anthropic's rating. | 3% | 38 min13 min to 1.3 h | Stays with people | |
| Clean tracks or clear ice or snow from tracks or switch boxes.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating. | 3% | 50 min17 min to 2.5 h | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Paving, Surfacing, and Tamping Equipment Operators0% now, 0% by 2028
- Operating Engineers and Other Construction Equipment Operators3% now, 3% by 2028
- Millwrights0% now, 0% by 2028
- Pile Driver Operators0% now, 0% by 2028
- Excavating and Loading Machine and Dragline Operators, Surface Mining10% now, 10% by 2028
- Rail Car Repairers3% now, 3% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Rail-Track Laying and Maintenance Equipment Operators is within reach of AI now?
- An estimated 0% of the working time is within reach of AI models now and 0% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Rail-Track Laying and Maintenance Equipment Operators come within reach first?
- No task has a meaningful share of its time within reach now or by the end of 2028, on the long-run pace at four in five: the work is mostly people work and body work, which the site does not count.
- Which tasks of Rail-Track Laying and Maintenance Equipment Operators stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Drive vehicles that automatically move and lay tracks or rails over sections of track to be constructed, repaired, or maintained; Patrol assigned track sections so that damaged or broken track can be located and reported; and Dress and reshape worn or damaged railroad switch points or frogs, using portable power grinders. Together such tasks are about 100% of the working time.
- Do people already use AI for the work of Rail-Track Laying and Maintenance Equipment Operators?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Rail-Track Laying and Maintenance Equipment Operators?
- Anthropic's robot exposure rating (September 2026) finds 100% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 86% of the working time, 3% in any setting. Its index is 1.21 of 3. One example: ALC automatic guiding computer on Plasser & Theurer tamping machines for "turn wheels of machines, using lever controls, to adjust guidelines for track alignments or grades, following specifications". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 26 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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