AI exposure by occupation, O*NET 53-4041.00
Will AI replace Subway and Streetcar Operators?
Subway and Streetcar Operators: AI does not yet handle any of the role's 10 tasks; most of the work is hands-on, and the part AI can address mostly needs an efficient-tier model.
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Every task, scored
The 10 tasks O*NET 30.3 lists for Subway and Streetcar Operators, from most to least exposed. None reaches 60, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Monitor lights indicating obstructions or other trains ahead and watch for car and truck traffic at crossings to stay alert to potential hazards. | Estimated | Efficient | |
| Drive and control rail-guided public transportation, such as subways, elevated trains, and electric-powered streetcars, trams, or trolleys, to transport passengers. | Estimated | Efficient | |
| Regulate vehicle speed and the time spent at each stop to maintain schedules. | Estimated | Efficient | |
| Operate controls to open and close transit vehicle doors. | Estimated | No tier | |
| Report delays, mechanical problems, and emergencies to supervisors or dispatchers, using radios. | Estimated | No tier | |
| Make announcements to passengers, such as notifications of upcoming stops or schedule delays. | Estimated | No tier | |
| Direct emergency evacuation procedures. | Estimated | No tier | |
| Complete reports, including shift summaries and incident or accident reports. | Estimated | No tier | |
| Greet passengers, provide information, and answer questions concerning fares, schedules, transfers, and routings. | Estimated | No tier | |
| Attend meetings on driver and passenger safety to learn ways in which job performance might be affected. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 10 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 10 of 10. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
An efficient-tier model or lower covers 32% of the role's importance-weighted task work. 32% of the work is something AI can address at some tier, and 69% is hands-on.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 10,200
- Median annual wage
- $86,380
- Middle half of earners
- $61,980 to $90,140
- Projected change, 2024 to 2034
- +3.4%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Railroad Brake, Signal, and Switch Operators and Locomotive Firers 67% skill overlap, about 12 months to move Exposure27
- Locomotive Engineers 64% skill overlap, about 13 months to move Exposure36
- Rail-Track Laying and Maintenance Equipment Operators 63% skill overlap, about 13 months to move Exposure18
- Bus Drivers, Transit and Intercity 63% skill overlap, about 13 months to move Exposure20
- Railroad Conductors and Yardmasters 63% skill overlap, about 13 months to move Exposure35
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Subway and Streetcar Operators and AI
Will AI replace Subway and Streetcar Operators?
Not on current evidence. None of the 10 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 19 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.
What is the AI exposure of Subway and Streetcar Operators?
19 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 10 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 10 are estimated from each task's O*NET work activity.
Which Subway and Streetcar Operators tasks can AI already do?
None reaches 60 yet. The most exposed task is: Monitor lights indicating obstructions or other trains ahead and watch for car and truck traffic at crossings to stay alert to potential hazards, at 35 out of 100.
What AI model tier does this role need?
An efficient-tier model or lower covers 32% of the role's importance-weighted task work, and 69% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Subway and Streetcar Operators, and what do they earn?
10,200 people in the United States, with a median annual wage of $86,380 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.4% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Subway and Streetcar Operators. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/subway-and-streetcar-operators
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