Will AI replace transit and railroad police?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 22m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The breakdown: 1h done by people with AI help, 2h 22m that robots have done in real workplaces. The other 4h 38m (58%) stays with people. Separately, BLS expects about 3.2% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 1 of 12 tasks, about 1h of a typical shift. The biggest ones:

• Prepare reports documenting investigation activities and results. (59m a shift, people use AI to help)

For some tasks, yes. Robots have done 1 of this job's tasks in workplaces like this one, about 2h 22m of a typical shift. 1 more task has only been done in factory setups built around the machine, so it stays with people here. For 3 physical tasks, no robot has shown it can do the work yet.

• Patrol railroad yards, cars, stations, or other facilities to protect company property or shipments and to maintain order. (2h 22m a shift; e.g. Knightscope K5 Autonomous Security Robot (ASR), in use)

4h 38m of a typical shift, or 58%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Monitor transit areas and conduct security checks to protect railroad properties, patrons, and employees. (1h 47m a shift)
• Investigate or direct investigations of freight theft, suspicious damage or loss of passengers' valuables, or other crimes on railroad property. (47m a shift)
• Apprehend or remove trespassers or thieves from railroad property or coordinate with law enforcement agencies in apprehensions and removals. (36m a shift)
• Enforce traffic laws regarding the transit system and reprimand individuals who violate them. (24m a shift)
• Examine credentials of unauthorized persons attempting to enter secured areas. (18m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 98% carry high or very high responsibility for other workers' safety
• 89% say dealing with the public is very or extremely important
• 78% handle conflict at least once a week

For the 1 task in this job where AI shows up and timing data exists, a typical request takes about 6h 13m for a person alone and about 46m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Prepare reports documenting investigation activities and results (about 6h 13m alone, 46m with AI)

On Indeed, job postings in the Security & Public Safety sector are at 119% of their February 2020 level (all U.S. postings: 104%), up 4.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 300 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $90,230 a year ($43.38 an hour), 77% above the median for all U.S. jobs ($50,980). Most people in this job earn between $57,690 and $125,910 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 3.2% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 4,500 jobs in 2035. It expects about 300 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 4,390 people in the U.S., roughly 0.00% of all workers (BLS, May 2025). That makes it the 736th largest of the 796 jobs on this site. BLS expects about 4,500 in 2035.

The most common requirement is a bachelor's degree: about 28% of people in the job said so in the official O*NET survey. O*NET rates the job at level 3 of 5 for preparation, which usually means: vocational school or associate's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Complex Problem Solving, Negotiation, Speaking, Active Listening
• Get strong at the parts of the job that stay with people (listed above), which take 4h 38m of a typical shift
• Tools employers list: Microsoft Active Server Pages ASP, Microsoft Excel, Microsoft Office software, Microsoft Outlook, Microsoft PowerPoint
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Police and Sheriff's Patrol Officers (1h 47m touched, $76k median pay)
• Detectives and Criminal Investigators (1h 3m touched, $94k median pay)
• Animal Control Workers (0m touched, $46k median pay)
• Customs and Border Protection Officers (2h 49m touched, $76k median pay)
• First-Line Supervisors of Police and Detectives (0m touched, $106k median pay)

Each task carries its own evidence label. For this job: 1 observed in real AI use, 1 with robots in real deployments, 10 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.