Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They answer emergency calls, gather important details, and quickly send help like police, firefighters, or ambulances to those in need.
This role is evolving
The career of a public safety telecommunicator is labeled as "Evolving" because AI is starting to handle many of the routine tasks, like writing down call details or filtering out duplicate reports. This change means dispatchers can spend more time on important decisions, like sending the right help or giving life-saving instructions, which still need human judgment and empathy.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of a public safety telecommunicator is labeled as "Evolving" because AI is starting to handle many of the routine tasks, like writing down call details or filtering out duplicate reports. This change means dispatchers can spend more time on important decisions, like sending the right help or giving life-saving instructions, which still need human judgment and empathy.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Public Safety Telecom.
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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 in the real world
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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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
Read and effectively interpret small-scale maps and information from a computer screen to determine locations and provide directions.
Observe alarm registers and scan maps to determine whether a specific emergency is in the dispatch service area.
Learn material and pass required tests for certification.
Maintain files of information relating to emergency calls such as personnel rosters, and emergency call-out and pager files.
Provide emergency medical instructions to callers.
Maintain access to, and security of, highly sensitive materials.
Monitor alarm systems to detect emergencies such as fires and illegal entry into establishments.
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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