The Replaceability Index

Dispatchers, Except Police, Fire, and Ambulance

Schedule and dispatch workers, work crews, equipment, or service vehicles for conveyance of materials, freight, or passengers.

SOC 43-5032

AI exposure: 52/100

exposed tier. The score is a relative index of task exposure from 0 to 100. It is not a percentage chance of losing a job or a forecast of layoffs. Individual tasks, employer choices, adoption, and regulation all matter.

Occupation data. Exposure is an index out of 100, not a probability.
OccupationExposure /100Median annual wageStored growth projectionEmployment
Dispatchers, Except Police, Fire, and Ambulance52$46,680+3%195,700

Skills associated with this occupation

  • Communication
  • Coordination
  • Organization
  • Problem Solving
  • Decision Making

Frequently asked questions

Will AI replace Dispatchers, Except Police, Fire, and Ambulance?

The Index cannot predict whether AI will replace an individual Dispatchers, Except Police, Fire, and Ambulance role. Its 52/100 score is a relative estimate of task exposure, not a probability of job loss.

What does the exposure score mean?

The published value is 52/100, in the Exposed band. Higher values indicate greater estimated exposure within the model. It is not a measured share of tasks or a government employment forecast.

What wage and growth figures are available?

The source profile lists $46,680 median annual wage and 3% projected growth, with no source projection window recorded. Check original source dates and local conditions before treating those as current opportunities.

Can my personal assessment differ?

Yes. A generated assessment can consider the tasks you describe; an occupation-based fallback uses a broader baseline. Both are estimates. A different result is not proof that your job has changed.

Sources and methodology

The score is a relative index of task exposure from 0 to 100. It is not a percentage chance of losing a job or a forecast of layoffs. Individual tasks, employer choices, adoption, and regulation all matter.

The Index uses stored BLS-based occupation data. O*NET, OECD capability indicators, and task-exposure research are contextual references. The derivation of the stored occupation scores is not reproducibly documented in the published dataset.

The source snapshot does not record the wage-survey year or employment-projection window. Check the original BLS release before treating these figures as current. Editorial changes and export dates do not establish data freshness.

Read the methodology and limitations

Related occupations

Occupation data. Exposure is an index out of 100, not a probability.
OccupationExposure /100Median annual wageStored growth projectionEmployment
Metal-Refining Furnace Operators and Tenders52$47,740-3%14,600
Cargo and Freight Agents52$48,650+3%110,200
Separating, Filtering, Clarifying, Precipitating, and Still Machine Setters, Operators, and Tenders52$48,820+3%29,000
Computer, Automated Teller, and Office Machine Repairers52$44,180-5%113,600
Pourers and Casters, Metal52$44,180-3%15,800
Life, Physical, and Social Science Technicians52$50,200+5%193,200

Assess your own task mix · How occupation scores work · Browse the full index