Not Very Resilient
Last Update: 8/30/2026
AI Resilience Score for Comm. Equip. Operators:
29.8%
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%).
Low
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.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
AI Resilience Report forCommunications Equipment Operators, All Other
$54,680 median salary•100 annual openings•SOC Code: 43-2099.00
Communications Equipment Operators, All Other are less resilient to AI impacts than most occupations, according to our analysis of 3 sources.
This career is labeled "Not Very Resilient" because a large portion of the routine, repetitive work that defines it, like routing messages, translating communications, logging information, and handling low-priority calls, is exactly the kind of task AI handles well and is already taking over. Tools like Motorola's Assist AI agents are being built directly into dispatch software to manage standard calls automatically, and AI models are generating weather forecasts and translations in seconds, shrinking the need for human operators on those tasks.
Learn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreThis role is not very resilient
This career is labeled "Not Very Resilient" because a large portion of the routine, repetitive work that defines it, like routing messages, translating communications, logging information, and handling low-priority calls, is exactly the kind of task AI handles well and is already taking over. Tools like Motorola's Assist AI agents are being built directly into dispatch software to manage standard calls automatically, and AI models are generating weather forecasts and translations in seconds, shrinking the need for human operators on those tasks.
Read full analysisLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Comm. Equip. Operators
Updated Quarterly
How is AI changing Comm. Equip. Operators jobs?
If you're one of the people who keeps ships, planes, oil rigs, or emergency crews talking to each other, AI is already showing up in your workflow — mostly as a helper, not a replacement. In 911 and dispatch centers, Motorola Solutions in June 2026 expanded its Assist AI agents [1] to automatically translate 911 calls in real time and stream live call audio to field units, natively integrated into computer-aided dispatch software. Industry leaders describe the goal this way: AI-driven call handling is the next step in modernizing emergency communications [1], and it isn't about replacing people — it lets skilled professionals focus on calls that truly need human expertise while AI manages routine, repetitive or low-priority calls.
Weather broadcasting is also being augmented: the National Weather Service is using AI to translate weather products [2] into five languages, including Spanish and Simplified Chinese, and NOAA has deployed AI models that generate 10-day forecasts in about a minute [3]. For the radio and network side of the job, a June 2026 IEEE ComSoc Technology Blog analysis [4] reported that telecoms are moving from isolated AI pilots to production-grade AI operations across live networks, with Ericsson claiming up to 20% higher downlink throughput and Verizon applying "agentic AI" across its 60,000-site network. Log-keeping and message-routing tasks are the easiest to automate; monitoring distress calls and coordinating live emergencies still lean heavily on human judgment.
Sources
How fast is AI adoption growing for Comm. Equip. Operators?
Adoption is moving fast where the business case is obvious. 911 centers process hundreds of millions of calls yearly and face mounting staffing vacancies, and hiring more personnel is rarely a quick or sustainable solution [5] due to budget constraints, lengthy training cycles and increasing turnover — so AI that reduces hold times without new headcount is very attractive. But adoption also faces real speed bumps. Federal auditors flagged planning gaps: the NWS hasn't made a plan that lays out goals and resource needs [6] for its AI translation project, and GAO recommended it do so.
Worker voice matters too. In July 2026, CWA members at the National Abortion Hotline ratified a contract after a 24-hour strike over AI implementation [7], securing protections against unilateral AI rollout and against being replaced by AI. Because these operators handle safety-critical, sometimes life-or-death communications, expect a "human-in-the-loop" model to dominate for years — meaning the humans who stay calm under pressure, exercise judgment on ambiguous distress calls, and coordinate across agencies will remain essential even as the routine parts of the job get faster and more automated.
Sources
Will AI replace Comm. Equip. Operators?
In part. We think AI will eventually automate a real share of this work, but the highest-stakes moments in this job still need a human being behind them.
Our 29.8% AI Resilience Score reflects real pressure. Routine tasks like log-keeping, message routing, and language translation are already being handed off to machines. Motorola's AI agents now translate 911 calls in real time and stream audio to field units [1], and NOAA has deployed models that generate 10-day forecasts in about a minute [3]. Telecoms are moving fast too, applying AI across tens of thousands of network sites [4]. When automation handles the repetitive work, fewer operators are needed for those tasks.
What stays human is the judgment call under pressure: coordinating a live emergency, reading an ambiguous distress signal, staying calm when systems fail. Those moments are hard to automate, and 911 centers facing staffing shortages [5] still need people who can do them. The honest advice for anyone in this field is to treat those skills as portable. Crisis communication, multi-agency coordination, and situational awareness translate into emergency management, public safety technology, and dispatch supervision. The role as it exists today will shrink, but the human capabilities at its core have a longer shelf life than the job title does.
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Latest AI news for Comm. Equip. Operators
These articles highlight crucial trends for future Communications Equipment Operators. As AI reshapes the job landscape, understanding its impact is vital; for instance, while AI might increase the cost of telecom equipment (as noted by Ericsson and Nokia), it also creates opportunities for operators to adapt and innovate. Moreover, insights from the labor debate suggest that AI could transform existing roles, emphasizing the need for resilience and adaptability in this evolving field. Staying informed will empower students to thrive in an AI-enhanced workplace.
China’s Military Employment of Artificial Intelligence and Its Security Implications
www.iar-gwu.org • 8/20/2026
It all begins with an idea.
AI is making telecom more expensive, warn Ericsson and Nokia
www.lightreading.com • 6/3/2026
Rampant demand for AI has led to component shortages and driven up chip costs for network equipment vendors. Customers may eventually pay.
The AI Labor Debate: Three Views on the Future of Work
carnegieendowment.org • 4/23/2026
AI could hollow out jobs, reshape them gradually, create entirely new ones—or do all three at once. The case for starting to act now doesn't...
These 40 Jobs May Be Replaced by AI. These 40 Probably Won’t
www.inc.com • 7/31/2025
A new study measuring the use of generative artificial intelligence in different professions has just gone public, and its main message to...
Trump Administration Releases AI Action Plan and Three Executive Orders on AI: What Employment Practitioners Need to Know
www.seyfarth.com • 7/25/2025
Seyfarth Synopsis: On July 23, 2025, the White House released “America's AI Action Plan” and President Trump signed three Executive Orders...
More Career Info
Career: Communications Equipment Operators, All Other
They manage and operate various communication devices to ensure messages are sent and received clearly and efficiently.
Parent Careers
Employment & Wage Data
Median Wage
$54,680
Jobs (2025)
1,200
Growth (2025-35)
+1.0%
Annual Openings
100
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Set up antennas and mobile communication units during military field exercises.
2
Repair radio equipment as necessary, using electronic testing equipment, hand tools, and power tools.
3
Monitor emergency frequencies to detect distress calls and respond by dispatching emergency equipment.
4
Operate radio equipment to communicate with ships, aircraft, mining crews, offshore oil rigs, logging camps and other remote operations.
5
Examine and operate new equipment prior to installation to ensure that it performs properly.
6
Operate sound-recording equipment to record signals and preserve broadcasts for purposes such as analysis by intelligence personnel.
7
Turn controls or throw switches to activate power, adjust voice volume and modulation, and set transmitters on specified frequencies.
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.
