OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
The robots can help. They can’t replace the room you read.
28% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Document and prepare reports of accidents, unscheduled stops, or delays
- Record departure and arrival times, messages, tickets and revenue collected, and passenger accommodations and destinations
- Confer with engineers regarding train routes, timetables, and cargoes, and to discuss alternative routes when there are rail defects or obstructions
- 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
- Review schedules, switching orders, way bills, and shipping records to obtain cargo loading and unloading information and to plan work
WHAT IT STILL CAN’T
- Signal engineers to begin train runs, stop trains, or change speed, using telecommunications equipment or hand signals
- Operate controls to activate track switches and traffic signals
- Arrange for the removal of defective cars from trains at stations or stops
- Inspect each car periodically during runs
- Verify accuracy of timekeeping instruments with engineers to ensure trains depart on time
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 28% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16