Mostly Resilient

Last Update: 6/19/2026

AI Resilience Score for C2 Center Officers:

57.2%

Median Score

Meaningful human contribution

Med

Long-term employer demand

N/A

Sustained economic opportunity

N/A

Our confidence in this score:
Low

Contributing sources

Methodology and Scoring Rationale

To score how resilient command and control center officer work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For command and control center officers, only one of the seven sources had data, which is why confidence is low. Our AI Resilience Model rated AI exposure as medium, meaning meaningful human judgment still drives this role. With no demand or economic data available, the score leans on that human contribution signal alone, landing at "Mostly Resilient."

AI Resilience Report forCommand and Control Center Officers

N/A median salaryN/A annual openingsSOC Code: 55-1015.00

Command and Control Center Officers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 1 source.

This career earns a "Mostly Resilient" label because the heart of the work, calming panicked callers, making split-second life-or-death decisions, and providing genuine human empathy during crises, is something AI simply cannot replicate. AI is already stepping in to handle routine, low-priority calls and quality assurance reviews, which actually helps telecommunicators by reducing burnout and freeing them up for the moments that truly matter.

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This role is mostly resilient

This career earns a "Mostly Resilient" label because the heart of the work, calming panicked callers, making split-second life-or-death decisions, and providing genuine human empathy during crises, is something AI simply cannot replicate. AI is already stepping in to handle routine, low-priority calls and quality assurance reviews, which actually helps telecommunicators by reducing burnout and freeing them up for the moments that truly matter.

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Analysis of Current AI Resilience

C2 Center Officers

Updated Quarterly

Analysis
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State of Automation

How is AI changing C2 Center Officers jobs?

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.

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AI Adoption

How fast is AI adoption growing for C2 Center Officers?

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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Will AI replace C2 Center Officers?

Will AI replace C2 Center Officers?

No. We don't think AI will replace Command and Control Center Officers, though we do expect the job to change.

AI is already inside 911 centers, but it's working alongside dispatchers, not instead of them. The most common use is filtering non-emergency calls so human officers can stay focused on real crises. AI is also automating quality assurance reviews that supervisors used to do manually, call by call. These are real changes, but they're about clearing the clutter, not clearing out the humans.

What keeps this role resilient, reflected in our 57.2% AI Resilience Score, is what happens on the hardest calls. Calming a panicked person, reading a situation that doesn't fit any script, making a judgment call under pressure: those are skills AI cannot replicate [2]. The staffing crisis in dispatch actually reinforces this point. Over 80% of emergency call centers are understaffed, and turnover costs agencies between $30,000 and $60,000 per hire [1]. That pressure is pushing agencies toward AI for routine work, but it also makes experienced human officers more valuable, not less.

If you're considering this career, expect to work with AI tools. Don't expect to be replaced by them.

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Latest AI news for C2 Center Officers

These articles highlight the growing role of AI in enhancing the effectiveness of Command and Control Center Officers. For instance, AI's integration in border security operations can improve decision-making through predictive surveillance, critical for managing resources efficiently. Additionally, the Army's use of AI to streamline logistics emphasizes the importance of tech proficiency in reducing workload and enhancing operational speed. Embracing these advancements equips future officers with the skills needed for a resilient career in an evolving landscape.

More Career Info

Career: Command and Control Center Officers

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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