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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.
High
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
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 as "Not Very Resilient" because many of the tasks, like operating radio equipment and managing signals, are increasingly being automated by AI technologies that can handle routine and technical functions more efficiently. While AI is helping and not completely replacing humans right now, the need for human intervention is decreasing as technology improves.
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Learn more about how you can thrive in this position
This role is not very resilient
This career is labeled as "Not Very Resilient" because many of the tasks, like operating radio equipment and managing signals, are increasingly being automated by AI technologies that can handle routine and technical functions more efficiently. While AI is helping and not completely replacing humans right now, the need for human intervention is decreasing as technology improves.
Read full analysisAnalysis of Current AI Resilience
Comm. Equip. Operators
Updated Quarterly • Last Update: 2/17/2026

Today, most of these radio‐communication tasks still rely on people, although new AI tools are helping in some areas. For instance, the National Weather Service (NOAA) is already using AI to translate and generate weather warnings in multiple languages [1]. In radio broadcasting and signal control, industry reports note that many AI services are emerging (for example, automated voice scripts or scheduling tools in radio stations) [2].
On the technical side, companies are developing “smart” radio systems: AI software can now automatically pick the clearest frequencies and adjust for interference in real time [3] [4]. These kinds of tools help equipment operators handle more traffic. However, core duties still need human judgment.
Emergency dispatch experts note that chatbots and voice bots only handle routine, non-emergency calls – trained specialists still answer 911‐style distress messages [5]. In practice, then, AI is mostly augmenting (helping) people rather than completely replacing them right now.

Whether AI spreads quickly in this field depends on many factors. On one hand, the needed technology is becoming available and could save money. For example, NOAA’s pilot AI translation service aims to reach more people during storms [1].
Smart radio gear using AI also promises reliable connections in tough conditions [3] [4]. On the other hand, these communication systems must be very reliable and safe. Emergency networks and weather stations are heavily regulated, and life‐or‐death messages cannot fail [4] [5].
Replacing operators with AI would require costly upgrades, and many agencies are cautiously testing one feature at a time. Also, because there are relatively few of these specialized jobs, big companies may not prioritize full automation. As a result, adoption is gradual: AI is used where it clearly adds safety or efficiency (like multi-lingual alerts or 24/7 monitoring) [1] [5], while important human skills – judgment, empathy, local knowledge – remain vital in these roles.

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They manage and operate various communication devices to ensure messages are sent and received clearly and efficiently.
Median Wage
$49,910
Jobs (2024)
1,400
Growth (2024-34)
+2.5%
Annual Openings
100
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
Set up antennas and mobile communication units during military field exercises.
Examine and operate new equipment prior to installation to ensure that it performs properly.
Monitor emergency frequencies to detect distress calls and respond by dispatching emergency equipment.
Operate radio equipment to communicate with ships, aircraft, mining crews, offshore oil rigs, logging camps and other remote operations.
Review applicable regulations regarding radio communications, and report violations.
Send, receive, and interpret coded messages.
Repair radio equipment as necessary, using electronic testing equipment, hand tools, and power tools.
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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