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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: 5/19/2026
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%).
N/A
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%).
N/A
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.
Very few data sources cover this career, or the available sources disagree significantly. Treat this score as a rough estimate.
Contributing sources
Command and Control Center Officers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 1 source.
Emergency dispatch is labeled "Mostly Resilient" because the heart of this work — calming a panicked caller, making split-second judgment calls during a crisis, and providing genuine human empathy — is something AI simply can't replicate. What *is* changing is that AI is already handling routine, lower-priority calls and automating quality assurance tasks that used to eat up a lot of time, which means the job is shifting rather than disappearing.
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 mostly resilient
Emergency dispatch is labeled "Mostly Resilient" because the heart of this work — calming a panicked caller, making split-second judgment calls during a crisis, and providing genuine human empathy — is something AI simply can't replicate. What *is* changing is that AI is already handling routine, lower-priority calls and automating quality assurance tasks that used to eat up a lot of time, which means the job is shifting rather than disappearing.
Read full analysisAnalysis of Current AI Resilience
C2 Center Officers
Updated Quarterly • Last Update: 5/14/2026

If you're worried about AI taking over jobs in emergency dispatch, here's the honest picture: AI is already in 911 centers right now, but it's being used as a teammate — not a replacement — for human telecommunicators. The National Telecommunications and Information Administration ran a yearlong cross-country project documenting the transformative impact AI is already having on public safety communications, partnering with APCO, NENA, NASNA, and the FCC and featuring testimonials from agencies actively using AI to support telecommunicators in their life-saving work.
The most common use is filtering out non-emergency calls so human officers can focus on real crises. In Washington's Tri-Cities, Seattle-based Aurelian AI began handling calls coming into SECOMM's non-emergency phone number; the system does not impact calls made directly to 911, where the agency aims to answer emergency calls within 10 to 15 seconds. Industry experts describe this as augmentation: AI call automation isn't about replacing people — instead, it allows skilled professionals to focus on the calls that truly need human expertise while AI manages routine, repetitive or low-priority calls, helping reduce stress and burnout among staff.
AI is also being used behind the scenes for quality assurance — Critical Insights AI is a cloud-based analytics platform that automates the arduous process of quality assurance, so instead of supervisors manually reviewing a small random sample of calls, AI reviews them at scale.

Adoption is moving quickly because dispatch centers are in crisis. Over 80% of emergency call centers are understaffed, with some facing vacancy rates as high as 83%, the national average turnover rate hovers around 17% (and exceeds 50% in larger centers), and training a new hire costs between $30,000 and $60,000 — with up to half of trainees failing probation. When hiring humans is this hard, AI that handles routine calls becomes very appealing financially [1].
However, public trust is a real brake on adoption — a survey of 2,000 Americans found that 16% believe 911 calls are being answered by AI instead of live dispatchers without disclosure, signaling that transparency rules and ethical guardrails will shape how fast agencies deploy these tools. The good news for young people considering this career: human judgment, empathy, and the ability to calm a panicked caller during life-or-death moments are exactly the skills APCO and NTIA panels say AI cannot replace [2]. AI is freeing telecommunicators from the boring stuff so they can do the meaningful, human work.

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They monitor and manage emergency situations by communicating with teams, coordinating responses, and ensuring everyone knows what to do to keep people safe.

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