AI exposure: Locomotive Engineers
Drive electric, diesel-electric, steam, or gas-turbine-electric locomotives to transport passengers or freight. Interpret train orders, electronic or manual signals, and railroad rules and regulations.
Reading this score
computedAt 24.2% of weighted task load, Locomotive Engineers sits at the 46th percentile, below the point where a job's centre of gravity has moved. 58.5% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is embodiment. Across this occupation's 15 tasks it averages 2.13 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.
The most exposed thing this job does is Interpret train orders, signals, or railroad rules and regulations that govern the operation of..., at 60.0%. The least is Call out train signals to assistants to verify meanings, at 0.0%. A gap of 60.0% 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 less exposed than the median of 24.3% across the group's 52 roles, with 26 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 15 tasks, 6 are currently banded exposed, 2 assisted and 7 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery 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.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.60 | 0-4 |
| Embodiment | 2.13 | 0-3 |
| Presence | 1.50 | 0-3 |
| Accountability | 1.30 | 0-3 |
| Context | 1.57 | 0-3 |
| Verification cost | 1.83 | 0-3 |
Task by task
15 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Interpret train orders, signals, or railroad rules and regulations that govern the operation of locomotives. | 60.0% | 15.0% | 25.0% | 4.78 | exposed |
| Inspect locomotives to verify adequate fuel, sand, water, or other supplies before each run or to check for mechanical problems. | 55.0% | 20.0% | 25.0% | 4.48 | exposed |
| Check to ensure that documentation, such as procedure manuals or logbooks, are in the driver's cab and available for staff use. | 55.0% | 20.0% | 25.0% | 3.92 | exposed |
| Prepare reports regarding any problems encountered, such as accidents, signaling problems, unscheduled stops, or delays. | 45.0% | 30.0% | 25.0% | 3.76 | exposed |
| Monitor gauges or meters that measure speed, amperage, battery charge, or air pressure in brake lines or in main reservoirs. | 30.0% | 20.0% | 50.0% | 4.85 | exposed |
| Confer with conductors or traffic control center personnel via radiophones to issue or receive information concerning stops, delays, or oncoming trains. | 26.7% | 23.3% | 50.0% | 4.66 | exposed |
| Receive starting signals from conductors and use controls such as throttles or air brakes to drive electric, diesel-electric, steam, or gas turbine-electric locomotives. | 23.3% | 26.7% | 50.0% | 4.91 | assisted |
| Check to ensure that brake examination tests are conducted at shunting stations. | 16.7% | 33.3% | 50.0% | 4.41 | assisted |
| Monitor train loading procedures to ensure that freight or rolling stock are loaded or unloaded without damage. | 10.0% | 15.0% | 75.0% | 4.01 | untouched |
| Observe tracks to detect obstructions. | 8.3% | 16.7% | 75.0% | 4.69 | untouched |
| Drive diesel-electric rail-detector cars to transport rail-flaw-detecting machines over tracks. | 8.3% | 16.7% | 75.0% | 2.88 | untouched |
| Operate locomotives to transport freight or passengers between stations or to assemble or disassemble trains within rail yards. | 3.3% | 21.7% | 75.0% | 4.45 | untouched |
| Respond to emergency conditions or breakdowns, following applicable safety procedures and rules. | 0.0% | 0.0% | 100.0% | 4.44 | untouched |
| Inspect locomotives after runs to detect damaged or defective equipment. | 0.0% | 0.0% | 100.0% | 4.41 | untouched |
| Call out train signals to assistants to verify meanings. | 0.0% | 0.0% | 100.0% | 4.28 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
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.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.