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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.
Med
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
Railroad Brake, Signal, and Switch Operators and Locomotive Firers are less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled "Not Very Resilient" because the core tasks — monitoring tracks, operating signals, and managing switches — are increasingly being handled by automated systems like AI-powered track inspection tools, positive train control, and even experimental driverless freight vehicles. The economics are working against this field too, since railroads have strong financial reasons to cut crew sizes, and productivity has already tripled over recent decades through technology upgrades.
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
This career is labeled "Not Very Resilient" because the core tasks — monitoring tracks, operating signals, and managing switches — are increasingly being handled by automated systems like AI-powered track inspection tools, positive train control, and even experimental driverless freight vehicles. The economics are working against this field too, since railroads have strong financial reasons to cut crew sizes, and productivity has already tripled over recent decades through technology upgrades.
Read full analysisAnalysis of Current AI Resilience
Railroad Operations
Updated Quarterly • Last Update: 5/14/2026

If you're thinking about a career on the rails, here's the honest picture: AI is mostly being used to help train crews right now, not replace them — but the technology is moving forward fast. One of the biggest changes is automated track inspection (ATI), where locomotive-mounted lasers and cameras continuously scan rails for defects. The Association of American Railroads petitioned FRA to implement a blended approach to ATI systems and visual inspections, aimed at enhancing early detection and effective track defect remediation, and by attaching ATI systems to locomotives or boxcars, railroads can inspect hundreds of thousands of track miles per year with greater accuracy and consistency.
Safety systems are also getting smarter: positive train control systems have improved, and further advances in autonomous systems also look promising, with automatic braking systems that prevent many collisions caused by human error. On the more aggressive end, startup Parallel Systems is testing battery-electric autonomous rail vehicles [1] for short-distance freight, and the FRA granted waivers to permit the trial run of a "novel, self-propelled, zero-emission, battery-electric rail vehicle" where no workers would be onboard, allowing Parallel Systems to test its "robotrain" at the Georgia Central Railway and the Heart of Georgia Railroad near the Port of Savannah.

Adoption will likely be gradual rather than overnight, and that's good news if you're entering this field. Federal regulators still require human crews on most trains, and unions are pushing hard to keep them there. The BLET has pushed back, stressing that there are too many "what-ifs" regarding safety and reliability when it comes to unproven autonomous train technology, and the union warns that AI failures could prohibit states from passing safety laws regulating railroad technology [2] and risk public safety.
Cost and economics push the other way — freight rail productivity more than tripled from 1988 to 2020, producing 213 percent more output per worker, reflecting decades of sustained investment in technology, and the ITIF argues that reducing crew sizes could lower consumer prices [3]. Still, the Bureau of Labor Statistics projects railroad worker employment will grow about 1% from 2024–2034, with roughly 6,600 openings each year [4], mainly because experienced workers retire. The skills that stay valuable are exactly the human ones machines struggle with: handling emergencies, making minor repairs in the field, judgment in bad weather, and safety communication with engineers and yardmasters.
Stay curious about new tech — workers who learn to operate alongside sensors and AI systems will have the strongest footing.

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They help trains run safely by controlling brakes, signals, and switches, and assist in monitoring locomotive operations to ensure everything works smoothly.
Median Wage
$65,480
Jobs (2024)
11,000
Growth (2024-34)
+1.0%
Annual Openings
1,000
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
Make minor repairs to couplings, air hoses, and journal boxes, using hand tools.
Set flares, flags, lanterns, or torpedoes in front and at rear of trains during emergency stops to warn oncoming trains.
Start diesel engines to warm engines before runs.
Check to see that trains are equipped with supplies such as fuel, water, and sand.
Operate locomotives in emergency situations.
Watch for and relay traffic signals to start and stop cars during shunting.
Inspect couplings, air hoses, journal boxes, and handbrakes to ensure that they are securely fastened and functioning properly.
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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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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