Gini Loh System Tools

AI Automation Index

Will AI Replace Signal and Track Switch Repairers?

Task-level automation exposure for Signal and Track Switch Repairers: 12 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

21% weighted task index

12 of 12 tasks scored

Median Salary

$92,460 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Low

8,720 people hold this job — size, not growth

Projected 2025–35

+1.8% employment change

800 openings a year · BLS line item

Pay by state

BLS OEWS publishes 21 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$58,840 – $126,440

Highest medians

Massachusetts $126,440
Washington $121,710
Minnesota $96,780
Arizona $96,460
Virginia $95,620

Lowest medians

Ohio $58,840
Kentucky $75,870
Florida $78,680
Tennessee $79,730
Georgia $79,860

State figures come from the 49-9097 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 21%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 66%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 0%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 8%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 12/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

12 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 8%

1 tasks

Medium exposure (≥ 35%) 0%

0 tasks

Low exposure (below 35%) 92%

11 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#13906 · Core · 23% automatable

Inspect and test operation, mechanical parts, and circuitry of gate crossings, signals, and signal equipment such as interlocks and hotbox detectors.

physical manipulation — Electrical probing and meter work by hand

Inspect equipment to locate or identify electrical problems. Test electrical circuits or components for proper functioning.
#13910 · Core · 19% automatable

Inspect electrical units of railroad grade crossing gates and repair loose bolts and defective electrical connections and parts.

visual inspection — Locating electrical faults requires hands-on inspection

Inspect equipment to locate or identify electrical problems. Repair electrical circuits or wiring.
#23936 · Core · 19% automatable

Test and repair track circuits.

physical manipulation — Hands-on mechanical testing in physical environment

Test mechanical equipment to ensure proper functioning. Repair worn, damaged, or defective mechanical parts.
#13908 · Core · 10% automatable

Drive motor vehicles to job sites.

situated mobility — Driving vehicles at work sites is situated mobility

Drive trucks or other vehicles to or at work sites.
#13905 · Core · 14% automatable

Install, inspect, maintain, and repair various railroad service equipment on the road or in the shop, including railroad signal systems.

visual inspection — Locating wear and damage requires physical inspection

Inspect mechanical equipment to locate damage, defects, or wear. Maintain work equipment or machinery.
#13909 · Core · 17% automatable

Tighten loose bolts, using wrenches, and test circuits and connections by opening and closing gates.

physical manipulation — Electrical probing and meter work by hand

Test electrical circuits or components for proper functioning. Adjust the tension of nuts or bolts.
#13907 · Core · 18% automatable

Inspect switch-controlling mechanisms on trolley wires and in track beds, using hand tools and test equipment.

visual inspection — Locating wear and damage requires physical inspection

Inspect mechanical equipment to locate damage, defects, or wear.
#13911 · Core · 10% automatable

Replace defective wiring, broken lenses, or burned-out light bulbs.

physical manipulation — Manual replacement of mechanical parts

Replace worn, damaged, or defective mechanical parts.
#13913 · Core · 20% automatable

Inspect, maintain, and replace batteries as needed.

visual inspection — Defect detection in electrical systems needs presence

Inspect electrical or electronic systems for defects.
#13912 · Core · 80% automatable

Record and report information about mileage or track inspected, repairs performed, and equipment requiring replacement.

text generation — Record parts and repair details from provided data

Record information about parts, materials or repair procedures.
#13914 · Core · 12% automatable

Lubricate moving parts on gate-crossing mechanisms and swinging signals.

physical manipulation — Physical lubrication task requiring hands and access

Lubricate equipment to allow proper functioning.
#13915 · Core · 10% automatable

Clean lenses of lamps with cloths and solvents.

physical manipulation — Cleaning parts for repair needs hands-on dexterity

Clean equipment, parts, or tools to repair or maintain them in good working order.
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Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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