COOKEDthe AI job-risk monitorSYSTEM LIVE
◀ scan anotherRAIL-TRACK LAYING AND MAINTENANCE EQUIPMENT OPERATORSshare ⧉
EXPOSURE TO AI
0%
RESILIENT
OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Certified irreplaceable. For now, gloriously human.

0% 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. Certified hard to automate. Today’s AI barely touches the core of this one.

WHAT AI CAN ALREADY DO
  • No fully-automatable tasks flagged in the O*NET list.
WHAT IT STILL CAN’T
  • Patrol assigned track sections so that damaged or broken track can be located and reported
  • Repair or adjust track switches, using wrenches and replacement parts
  • Weld sections of track together, such as switch points and frogs
  • Observe leveling indicator arms to verify levelness and alignment of tracks
  • Operate single- or multiple-head spike driving machines to drive spikes into ties and secure rails
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.
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