Dispatchers, Except Police, Fire, and Ambulance
Dispatchers, Except Police, Fire, and Ambulance — AI exposure, safer roles, and a pivot plan.
Also known as: Bus Starter · Cab Starter · Car Starter · Bus Dispatcher · Car Dispatcher · Car Distributor
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
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Record and maintain files or records of customer requests, work or services performed, charges, expenses, inventory, or other dispatch information.98
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Monitor personnel or equipment locations and utilization to coordinate service and schedules.98
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Arrange for necessary repairs to restore service and schedules.97
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
The current data release does not distinguish durable tasks for this role.
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 86 puts Dispatchers, Except Police, Fire, and Ambulance in the most-exposed quarter of analyzed occupations. In practice, exposure this high is about the mix: 12 of 12 analyzed tasks lean automatable, 0 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.
Lower-exposure adjacent roles
Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.
Railroad Conductors and Yardmasters
58 ▼ 28 pts lower
Skill overlap ≈ 56% · Related O*NET role; Railroad Conductors and Yardmasters is an adjacent path (Elevated band).
First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand
63 ▼ 23 pts lower
Skill overlap ≈ 72% · Related O*NET role; First-Line Supervisors of Helpers, Laborers, and Material Movers, Hand is an adjacent path (High band).
First-Line Supervisors of Material-Moving Machine and Vehicle Operators
68 ▼ 18 pts lower
Skill overlap ≈ 80% · Related O*NET role; First-Line Supervisors of Material-Moving Machine and Vehicle Operators is an adjacent path (High band).
Labor-market context
- $50,340median wage
- 202,810employed
- 18,500annual openings
- -0.9%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — Dispatchers, Except Police, Fire, and Ambulance
- What does a score of 86 mean for a Dispatchers, Except Police, Fire, and Ambulance?
- It means that, weighted across the 12 tasks we analyzed for this role, the task mix sits at 86 on a 0–100 exposure scale — in the most-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- The highest-exposure tasks are: Record and maintain files or records of customer requests, work or services performed, charges, expenses, inventory, or other dispatch information; Monitor personnel or equipment locations and utilization to coordinate service and schedules; Arrange for necessary repairs to restore service and schedules. Exposure is scored per task from structured data, not generated by a language model.
- Which parts of this job are most durable?
- The current data release does not distinguish durable tasks for this role.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 12 of 12 tasks carry source-level provenance · methodology