Rail Yard Engineers, Dinkey Operators, and Hostlers
In short: today's best AI models could do about 12% 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 88% of the time, stays with people.
Drive switching or other locomotive or dinkey engines within railroad yard, industrial plant, quarry, construction project, or similar location.
3,920 people do this job in the US. $60,600 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on5 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people35 h
Rail Yard Engineers, Dinkey Operators, and Hostlers, now: of a 40-hour week, AI could take on 5 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 35 hours stay with people.
The largest pieces: Read switching instructions and daily car schedules to determine work to be performed, or receive orders from yard conductors (about 2 h); Report arrival and departure times, train delays, work order completion, and time on duty (about 1 h); Receive, relay, and act upon instructions and inquiries from train operations and customer service center personnel (under an hour).
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.
- 12%
- 4%
- 83%
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, 4%. With Claude Mythos Preview (early), measured in April 2026, 12%. Today's estimate: 12%.
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
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 23 tasks showed up. Within each of Anthropic's methods, never across a change: 0.008% to 0.0049% (released February and March 2025); 0.0035% to 0.0028% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.008% | 554 of 708 | 1 of 23 |
| Released March 2025 | 0.0049% | 588 of 703 | 1 of 23 |
| The week of Aug 4, 2025 (released September 2025) | 0.0035% | 571 of 655 | 1 of 23 |
| The week of Nov 13, 2025 (released January 2026) | 0.0028% | 624 of 672 | 1 of 23 |
| The week of Feb 5, 2026 (released March 2026) | 0.0028% | 620 of 677 | 1 of 23 |
| April 2026 (released June 2026) | none | n/a | 0 of 23 |
| May 2026 (released June 2026) | none | n/a | 0 of 23 |
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 74% of this job's working time as physical work. For 64% of the working time, a robot has been shown doing most of the task somewhere: 19% in a purpose-built cell, 45% in a structured facility. 1.09 of 3, the 79th highest of the 923 jobs.
- Not physical 26%
- No robot shown 10%
- In a purpose-built cell 19%
- In a structured facility 45%
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 . 23 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Drive engines within railroad yards or other establishments to couple, uncouple, or switch railroad cars.Done daily by most who do it. Robots: in a structured facility, Liuzhou Steel intelligent molten iron transport system (intelligent dispatching + driverless locomotives) (deployed). Anthropic's rating. | 18% | 33 min13 min to 1.3 h | Stays with people | |
| Spot cars for loading and unloading at customer locations.Done daily by most who do it. Robots: in a purpose-built cell, Metso SCAMP railcar indexer / train positioner (sold). Anthropic's rating. | 10% | 25 min13 min to 1.3 h | Stays with people | |
| Perform routine repair and maintenance duties.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 9% | 1.3 h25 min to 2.5 h | Stays with people | |
| Inspect track for defects such as broken rails and switch malfunctions.Done daily by most who do it. Robots: in a structured facility, CSX autonomous drone inspection (DJI Matrice 350 RTK + Phase One IXM 100, Hextronics Atlas dock, FlytBase autonomy, CASIA G detect-and-avoid) (deployed). Anthropic's rating. | 9% | 25 min8 min to 50 min | Stays with people | |
| Inspect the condition of stationary trains, rolling stock, and equipment.Done daily by most who do it. Robots: in a purpose-built cell, Norfolk Southern Digital Train Inspection Portal (DTIP), machine vision by Georgia Tech Research Institute (deployed). Anthropic's rating. | 7% | 25 min13 min to 1.3 h | Stays with people | |
| Inspect engines before and after use to ensure proper operation.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 5% | 25 min13 min to 50 min | Stays with people | |
| Read switching instructions and daily car schedules to determine work to be performed, or receive orders from yard conductors.Done daily by most who do it. | 5% | 13 min4 min to 25 min | 100%Half by now | |
| Confer with conductors and other workers via radiotelephones or computers to exchange switching information.Done hourly or more by most who do it. | 4% | 8 min3 min to 17 min | Stays with people | |
| Drive locomotives to and from various stations in roundhouses to have locomotives cleaned, serviced, repaired, or supplied.Done daily by most who do it. Robots: in a structured facility, Alstom ATO GoA4 shunting locomotive (with NIART/Elta obstacle detection) (Alstom, with ProRail and Lineas) (demonstrated). Anthropic's rating. | 4% | 25 min8 min to 1.3 h | Stays with people | |
| Couple and uncouple air hoses and electrical connections between cars.Done daily by most who do it. Robots: in a purpose-built cell, TrailerConnect (Outrider System) (sold). Anthropic's rating. | 3% | 8 min4 min to 17 min | Stays with people | |
| Report arrival and departure times, train delays, work order completion, and time on duty.Done daily by most who do it. | 3% | 10 min4 min to 21 min | 100%Half by now | |
| Operate flatcars equipped with derricks or railcars to transport personnel or equipment.Done more than yearly by most who do it.Robots: in a structured facility, Alstom ATO GoA4 shunting locomotive (Lineas diesel-hydraulic loco with NIART obstacle detection) (demonstrated). Anthropic's rating. | 3% | 38 min17 min to 1.7 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.
- Railroad Brake, Signal, and Switch Operators and Locomotive Firers7% now, 7% by 2028
- Locomotive Engineers3% now, 3% by 2028
- Railroad Conductors and Yardmasters33% now, 33% by 2028
- Bus and Truck Mechanics and Diesel Engine Specialists2% now, 2% by 2028
- Operating Engineers and Other Construction Equipment Operators3% now, 3% by 2028
- Industrial Truck and Tractor Operators1% now, 1% 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 Yard Engineers, Dinkey Operators, and Hostlers is within reach of AI now?
- An estimated 12% of the working time is within reach of AI models now and 12% 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 Yard Engineers, Dinkey Operators, and Hostlers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Read switching instructions and daily car schedules to determine work to be performed, or receive orders from yard conductors (100% of the task's time now); Report arrival and departure times, train delays, work order completion, and time on duty (100% of the task's time now); and Receive, relay, and act upon instructions and inquiries from train operations and customer service center personnel (100% of the task's time now).
- Which tasks of Rail Yard Engineers, Dinkey Operators, and Hostlers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Drive engines within railroad yards or other establishments to couple, uncouple, or switch railroad cars; Spot cars for loading and unloading at customer locations; and Perform routine repair and maintenance duties. Together such tasks are about 88% of the working time.
- Do people already use AI for the work of Rail Yard Engineers, Dinkey Operators, and Hostlers?
- 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 Yard Engineers, Dinkey Operators, and Hostlers?
- Anthropic's robot exposure rating (September 2026) finds 74% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 64% of the working time, 45% in a structured facility. Its index is 1.09 of 3. One example: Liuzhou Steel intelligent molten iron transport system (intelligent dispatching + driverless locomotives) for "drive engines within railroad yards or other establishments to couple, uncouple, or switch railroad cars". 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 23 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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