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AI Automation Index
Will AI Replace Transit and Railroad Police?
Task-level automation exposure for Transit and Railroad Police: 12 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
36%
weighted task index
12 of 12 tasks scored
Median Salary
$90,230 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
4,390 people hold this job — size, not growth
Projected 2025–35
+3.2%
employment change
300 openings a year · BLS line item
Pay by state
BLS OEWS publishes 9 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$57,690 – $109,650
Highest medians
California $109,650
New Jersey $106,290
Maryland $99,420
New York $90,460
Utah $87,770
Lowest medians
Georgia $57,690
Missouri $67,840
Florida $69,810
Texas $78,480
Utah $87,770
State figures come from the 33-3052 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 36%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 18%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 45%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 11%
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 48/100
Moderate
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) 19%
2 tasks
Medium exposure (≥ 35%) 25%
3 tasks
Low exposure (below 35%) 56%
7 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
#9478 · Core · 72% automatable
Prepare reports documenting investigation activities and results.
text generation — Incident reports drafted from facts; human reviews
Prepare investigation or incident reports.
#21002 · Core · 35% automatable
Monitor transit areas and conduct security checks to protect railroad properties, patrons, and employees.
visual inspection — AI can watch camera feeds; human maintains physical surveillance
Maintain surveillance of individuals or establishments.
#9477 · Core · 17% automatable
Apprehend or remove trespassers or thieves from railroad property or coordinate with law enforcement agencies in apprehensions and removals.
interpersonal — Live incident response with agencies is human-led
Apprehend criminal suspects. Collaborate with law enforcement or security agencies to respond to incidents.
#9480 · Core · 30% automatable
Direct security activities at derailments, fires, floods, or strikes involving railroad property.
interpersonal — Security operations direction is live human command
Direct security operations.
#9475 · Core · 15% automatable
Patrol railroad yards, cars, stations, or other facilities to protect company property or shipments and to maintain order.
situated mobility — Patrolling properties is embodied mobile work
Patrol properties to maintain safety.
#9479 · Core · 28% automatable
Investigate or direct investigations of freight theft, suspicious damage or loss of passengers' valuables, or other crimes on railroad property.
decision support — Investigation is human fieldwork with judgment
Investigate illegal or suspicious activities. Direct law enforcement activities.
#9476 · Core · 72% automatable
Examine credentials of unauthorized persons attempting to enter secured areas.
visual inspection — Document validity check aided, human verifies authenticity
Examine personal documentation to ensure that it is valid.
#21003 · Core · 15% automatable
Enforce traffic laws regarding the transit system and reprimand individuals who violate them.
interpersonal — Enforcing rules requires human presence and authority
Enforce rules or regulations.
#21004 · Core · 50% automatable
Provide training to the public or law enforcement personnel in railroad safety or security.
interpersonal — Training content AI-assisted; live instruction and demonstration human
Provide safety training.
#9484 · Core · 35% automatable
Plan or implement special safety or preventive programs, such as fire or accident prevention.
text generation — Fire plans drafted; code compliance and site review human
Develop fire safety or prevention programs or plans. Direct fire fighting or prevention activities.
#9481 · Supplemental · 33% automatable
Direct or coordinate the daily activities or training of security staff.
interpersonal — Directing training programs needs human leadership
Direct employee training programs.
#9482 · Supplemental · 30% automatable
Interview neighbors, associates, or former employers of job applicants to verify personal references or to obtain work history data.
interpersonal — Investigative interviews require human rapport
Interview people to obtain information about actions or status of individuals.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 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. 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. 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
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