The Task Exposure Indexv2026.Q3
Occupation · SOC 53-4031.00 · Job Zone 2

AI exposure: Railroad Conductors and Yardmasters

Coordinate activities of switch-engine crew within railroad yard, industrial plant, or similar location. Conductors coordinate activities of train crew on passenger or freight trains. Yardmasters review train schedules and switching orders and coordinate activities of workers engaged in railroad traffic operations, such as the makeup or breakup of trains and yard switching.

Reading this score

computed

41.0% of this occupation's weighted task load is exposed, which puts Railroad Conductors and Yardmasters at the 72th percentile of 923 occupations. The capability is largely there. Its average task scores 2.5 out of 4 on what a current system can produce, and the frictions that hold other jobs in place are comparatively weak here.

What holds the line here is context. Across this occupation's 20 tasks it averages 1.77 out of 3, the highest of the five friction dimensions. In plain terms, the work depends on knowledge the model cannot hold. Much of this job runs on things that were never written down: what this particular organisation does, what happened last week, what the person across the table actually meant. That context is the barrier, and it erodes as systems are given more access.

The most exposed thing this job does is Observe yard traffic to determine tracks available to accommodate inbound and outbound traffic, at 86.7%. The least is Inspect each car periodically during runs, at 0.0%. A gap of 86.7% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within transportation and material moving occupations, this one is more exposed than most. The median across the 52 roles in the group is 24.2%, and only 4 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.

What would move this score. Of 20 tasks, 11 are currently banded exposed, 6 assisted and 3 untouched. For that distribution to shift materially would take systems being given deeper access to the organisation's own records and history, which is already happening. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Task by task

20 tasks, O*NET 31.0
TaskExposedAssistedUntouchedImportanceBand
Observe yard traffic to determine tracks available to accommodate inbound and outbound traffic.86.7%13.3%0.0%4.77exposed
Arrange for the removal of defective cars from trains at stations or stops.80.0%20.0%0.0%4.38exposed
Keep records of the contents and destination of each train car, and make sure that cars are added or removed at proper points on routes.80.0%20.0%0.0%4.02exposed
Record departure and arrival times, messages, tickets and revenue collected, and passenger accommodations and destinations.80.0%20.0%0.0%exposed
Verify accuracy of timekeeping instruments with engineers to ensure trains depart on time.73.3%26.7%0.0%3.69exposed
Receive instructions from dispatchers regarding trains' routes, timetables, and cargoes.60.0%15.0%25.0%4.59exposed
Receive information regarding train or rail problems from dispatchers or from electronic monitoring devices.60.0%15.0%25.0%4.23exposed
Confirm routes and destination information for freight cars.50.0%25.0%25.0%4.45exposed
Review schedules, switching orders, way bills, and shipping records to obtain cargo loading and unloading information and to plan work.50.0%25.0%25.0%4.32exposed
Document and prepare reports of accidents, unscheduled stops, or delays.45.0%30.0%25.0%3.63exposed
Confer with engineers regarding train routes, timetables, and cargoes, and to discuss alternative routes when there are rail defects or obstructions.26.7%23.3%50.0%4.01exposed
Direct and instruct workers engaged in yard activities, such as switching tracks, coupling and uncoupling cars, and routing inbound and outbound traffic.23.3%26.7%50.0%4.54assisted
Direct engineers to move cars to fit planned train configurations, combining or separating cars to make up or break up trains.23.3%26.7%50.0%4.47assisted
Operate controls to activate track switches and traffic signals.23.3%26.7%50.0%4.21assisted
Inspect freight cars for compliance with sealing procedures, and record car numbers and seal numbers.23.3%26.7%50.0%4.61assisted
Supervise and coordinate crew activities to transport freight and passengers and to provide boarding, porter, maid, and meal services to passengers.23.3%26.7%50.0%4.25assisted
Supervise workers in the inspection and maintenance of mechanical equipment to ensure efficient and safe train operation.20.0%30.0%50.0%4.17assisted
Instruct workers to set warning signals in front and at rear of trains during emergency stops.3.3%21.7%75.0%4.02untouched
Signal engineers to begin train runs, stop trains, or change speed, using telecommunications equipment or hand signals.0.0%0.0%100.0%4.52untouched
Inspect each car periodically during runs.0.0%0.0%100.0%4.03untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean. 1 task(s) lacked a usable O*NET weight and are shown but excluded from the weighting.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

DimensionMeanScale
Capability2.500-4
Embodiment1.200-3
Presence1.100-3
Accountability0.970-3
Context1.770-3
Verification cost1.350-3

What this means in practice

Where most of a role's weighted task load is exposed, the work that survives is usually the part of the job nobody wrote into the job description: deciding what should be produced rather than producing it, and being answerable for the result. The tasks lowest on this page are a better guide to where to spend your time than any general advice about the future of work.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.