Somewhat Resilient

Last Update: 4/23/2026

Your role’s AI Resilience Score is

40.1%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Medium

Contributing sources

AI Resilience Report forPublic Safety Telecommunicators

Public Safety Telecommunicators are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.

A career as a Public Safety Telecommunicator is labeled as "Somewhat Resilient" because while AI can handle routine tasks like transcribing calls and sorting duplicate reports, human skills are still crucial for making critical decisions and providing life-saving instructions. The ability to interpret emotions, prioritize emergencies, and use judgment in high-stakes situations keeps humans central to the role.

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This role is somewhat resilient

A career as a Public Safety Telecommunicator is labeled as "Somewhat Resilient" because while AI can handle routine tasks like transcribing calls and sorting duplicate reports, human skills are still crucial for making critical decisions and providing life-saving instructions. The ability to interpret emotions, prioritize emergencies, and use judgment in high-stakes situations keeps humans central to the role.

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Analysis of Current AI Resilience

Public Safety Telecom.

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Public Safety Telecom. jobs?

Many routine parts of a dispatcher’s job are now supported by AI. For example, software can listen to calls and automatically write down details, and even ask callers basic questions (like the make and plate of a stolen car) so humans don’t have to type everything [1] [2]. Other AI systems are trained to spot duplicate reports: if a storm causes many calls about the same incident, the system records the first call and flags any repeats, letting real dispatchers focus on new emergencies [3] [4].

AI also helps with language and mapping: some centers use AI to translate calls or send callers a link so they can share their phone’s video and GPS location [1] [3]. All these tools take over the busywork (high “automation” tasks in the list) so that telecommunicators spend more time on the hardest parts of their job.

However, many critical tasks still need humans. Dispatchers must decide which units to send and give life-saving instructions, jobs that require judgment and care. Experts note that first responders want a “human in the loop” – “they do not want to turn it all over to AI” [2].

Emergency centers tend to adopt new tech slowly because mistakes could cost lives [4]. In practice, tasks like deciding priorities, reading fine-printed maps, or evaluating a caller’s tone and emotions are done by people. For now, AI mostly handles routine bits of the work, while humans do the critical thinking and problem-solving tasks [2] [4].

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AI Adoption

How fast is AI adoption growing for Public Safety Telecom.?

AI tools are attractive in dispatch centers because many of them are severely understaffed. In fact, news reports say 80% of 911 centers are short on staff [3]. To cope, cities like Austin, Portland and San Jose are testing or using AI-driven systems (often cloud services from big tech) to answer simple calls and sort requests [1] [1].

Early results can be promising: one example found that using an AI phone-bot cut non-emergency call volume by ~36% [5]. Ready-made solutions (like Amazon Connect or Google Dialogflow) mean agencies can start pilots — sometimes for free — and get faster responses without hiring more people [1] [5].

At the same time, dispatch centers move cautiously, so AI adoption is gradual. Officials worry about errors in critical situations. As one study notes, 911 centers “don’t want huge disruptions” unless the technology is very trustworthy [4].

Concerns about privacy, bias or even prank calls (“swatting”) mean any AI must be carefully tested first [2]. There are also few laws yet covering AI in 911, so communities take time to set rules. In practice, many places start with small trials or free demos before they buy anything [1] [4].

In short, the urgent need to reduce workloads and wait times is pushing many centers to try AI – but safety, cost and trust will likely keep the human dispatcher at the center of the job for years to come [4] [2].

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More Career Info

Career: Public Safety Telecommunicators

They answer emergency calls, gather important details, and quickly send help like police, firefighters, or ambulances to those in need.

Employment & Wage Data

Median Wage

$50,730

Jobs (2024)

105,200

Growth (2024-34)

+3.5%

Annual Openings

10,700

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

82% ResilienceCore Task

Determine response requirements and relative priorities of situations, and dispatch units in accordance with established procedures.

2

80% ResilienceCore Task

Observe alarm registers and scan maps to determine whether a specific emergency is in the dispatch service area.

3

78% ResilienceSupplemental

Provide emergency medical instructions to callers.

4

75% ResilienceSupplemental

Monitor alarm systems to detect emergencies such as fires and illegal entry into establishments.

5

70% ResilienceCore Task

Maintain access to, and security of, highly sensitive materials.

6

65% ResilienceCore Task

Question callers to determine their locations, and the nature of their problems to determine type of response needed.

7

45% ResilienceCore Task

Receive incoming telephone or alarm system calls regarding emergency and non-emergency police and fire service, emergency ambulance service, information, and after-hours calls for departments within a...

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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