66
/100

SOC 43-5032

Dispatchers, Except Police, Fire, and Ambulance

High RiskFrey/Osborne: 96.0%

Risk Score

โš ๏ธ

66/100

High Risk

US Employment

๐Ÿ‘ฅ

211,000

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$35K โ€“ $76K

Projected Growth

๐Ÿ“ˆ

-0.9%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Dispatchers, Except Police, Fire, and Ambulance face a risk score of 66/100 โ€” 22 points above the national average of 44. With 53/100 GenAI exposure, this occupation faces significant pressure from AI tools despite weak projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 66/100, Dispatchers, Except Police, Fire, and Ambulance faces moderate automation pressure. While tasks like ai-powered email triage and response drafting are increasingly handled by AI, the role retains significant human elements. The 211,000 workers in this occupation should focus on strengthening skills in managing sensitive interpersonal workplace situations and coordinating complex multi-party events and logistics to stay ahead. The role will likely evolve rather than disappear.

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

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI-powered email triage and response drafting

2

Robotic process automation of data entry workflows

3

Smart form extraction replacing manual data processing

4

AI scheduling and calendar management assistants

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Managing sensitive interpersonal workplace situations

โœ“

Coordinating complex multi-party events and logistics

โœ“

Exercising discretion in ambiguous administrative decisions

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Schedule or dispatch workers, work crews, equipment, or service vehicles to appropriate locations, according to customer requests, specifications, or needs, using radios or telephones.

โ€ข

Prepare daily work and run schedules.

โ€ข

Confer with customers or supervising personnel to address questions, problems, or requests for service or equipment.

โ€ข

Relay work orders, messages, or information to or from work crews, supervisors, or field inspectors, using telephones or two-way radios.

โ€ข

Receive or prepare work orders.

๐Ÿ’ป Technology Skills

โ€ข

Mobile location based services software

โ€ข

Aviation ground support software

โ€ข

Customer relationship management CRM software

โ€ข

Computer aided design CAD software

โ€ข

Helpdesk or call center software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Public Safety and Security

โ€ข

Administration and Management

โ€ข

Administrative

โ€ข

English Language

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score66/100
+22

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth-0.9%
-4.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Supervisors of Office and Administrative Support Workers23$66K71%
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K65%
Lawyers, Judges, and Related Workers17$144K63%