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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
Subway and Streetcar Operators are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Subway and streetcar operating is labeled "Not Very Resilient" because the core task — controlling a vehicle's speed, spacing, and movement — is already being handled by AI in many systems, and cities like Washington D. C.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is not very resilient
Subway and streetcar operating is labeled "Not Very Resilient" because the core task — controlling a vehicle's speed, spacing, and movement — is already being handled by AI in many systems, and cities like Washington D. C.
Read full analysisAnalysis of Current AI Resilience
Subway & Streetcar Operators
Updated Quarterly • Last Update: 5/14/2026

Driving a subway or streetcar is one of the few jobs where AI and automation are already running entire systems — but the human role hasn't disappeared yet. The industry uses a five-step scale called the Grade of Automation (GoA), and at GoA4 trains run with no staff on board at all, while at lower grades a human driver stays in the cab to handle failures and emergencies, with fully driverless operation mostly used on automated guideway systems where isolated tracks make safety easier to guarantee. Washington's Metro shows where things stand in the U.S.: all trains already run on Automatic Train Operation, which controls acceleration and speed, but still need an operator in the cab — a setup that was paused after a fatal 2009 Red Line crash and only restored in summer 2025.
In April 2026, WMATA's board unanimously approved a roughly $1 billion plan [1] to fully automate the Red Line, citing trespassing and human-error incidents that are hard to fix with the current design. Beyond heavy rail, agencies are piloting smaller autonomous shuttles: Jacksonville's JTA launched NAVI in June 2025, called the nation's first public-transit autonomous vehicle revenue service, using 14 electric vans with Oxa's driving system, and APTA created an Automated Vehicles Innovation Committee in early 2026 to help agencies move "from concept to implementation". So today, AI mostly augments operators by handling speed and spacing — but real replacement is on the runway.

Speed of adoption depends on five forces. Tech is ready: driverless metros operate in Paris, Copenhagen, Dubai, and Honolulu, and APTA reports many U.S. agencies are launching or expanding pilots [2]. Economic pressure is real: WMATA's CEO noted ten people have been hit by trains in a single year, and officials argue automation plus platform doors is "an engineering and technology solution" to those incidents. But costs are huge: the Red Line upgrade alone needs $913 million, and federal funding is uncertain. Labor and politics slow things down: union operators aren't opposed to safety doors but worry full automation will cost their jobs, and Maryland passed a bill letting the governor withhold 35% of Metro funding if the agency doesn't mitigate staff reductions tied to automation. Workforce planning matters too: UITP launched a RESKILLING project to tackle the impacts of automation on the mobility workforce [3], recognizing the transition has to "put people first."
The honest takeaway: if you're considering this career, expect your role to evolve rather than vanish overnight. Skills that stay valuable are emergency response, customer service, troubleshooting glitchy systems, and supervising automated operations — and many systems abroad keep "train attendants" on board even after going driverless. New jobs in control centers, AV fleet supervision, and safety monitoring are growing alongside the tech.

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They drive subway trains or streetcars, making sure passengers get to their destinations safely and on time.
Median Wage
$84,830
Jobs (2024)
9,600
Growth (2024-34)
+3.4%
Annual Openings
900
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Collect fares from passengers, and issue change and transfers.
Direct emergency evacuation procedures.
Drive and control rail-guided public transportation, such as subways, elevated trains, and electric-powered streetcars, trams, or trolleys, to transport passengers.
Monitor lights indicating obstructions or other trains ahead and watch for car and truck traffic at crossings to stay alert to potential hazards.
Regulate vehicle speed and the time spent at each stop to maintain schedules.
Record transactions and coin receptor readings to verify the amount of money collected.
Report delays, mechanical problems, and emergencies to supervisors or dispatchers, using radios.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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