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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
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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Learn more about how you can thrive in this position
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.
Read full analysisAnalysis of Current AI Resilience
Public Safety Telecom.
Updated Quarterly • Last Update: 2/17/2026

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].

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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They answer emergency calls, gather important details, and quickly send help like police, firefighters, or ambulances to those in need.
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
AI-generated estimates of task resilience over the next 3 years
Determine response requirements and relative priorities of situations, and dispatch units in accordance with established procedures.
Observe alarm registers and scan maps to determine whether a specific emergency is in the dispatch service area.
Provide emergency medical instructions to callers.
Monitor alarm systems to detect emergencies such as fires and illegal entry into establishments.
Maintain access to, and security of, highly sensitive materials.
Question callers to determine their locations, and the nature of their problems to determine type of response needed.
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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