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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%).
Med
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
Media and Communication Equipment Workers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 4 sources.
A career as a media and communication equipment worker is labeled as "Mostly Resilient" because, while AI can automate some tasks like editing and captioning, the core work still relies heavily on human skills. Technicians are needed for hands-on tasks such as setting up and troubleshooting equipment and making real-time adjustments during live events.
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
A career as a media and communication equipment worker is labeled as "Mostly Resilient" because, while AI can automate some tasks like editing and captioning, the core work still relies heavily on human skills. Technicians are needed for hands-on tasks such as setting up and troubleshooting equipment and making real-time adjustments during live events.
Read full analysisAnalysis of Current AI Resilience
Media & Comm. Equip. Wkrs.
Updated Quarterly • Last Update: 2/17/2026

– Media and communication equipment workers usually handle live AV gear – setting up cameras, speakers, microphones, mixers and lights for events or broadcasts [1]. Today, some parts of that work are becoming automated. For example, TV and radio stations use AI tools to auto-edit recordings and add captions or translations quickly [2].
Manufacturers even offer “smart” consoles that auto-adjust sound levels or cameras that can track action by themselves. These AI tools help speed up routine tasks and free techs to focus on creative jobs.
However, most of the work still needs skilled humans. Technicians must cable equipment, fix problems on the spot, and fine-tune audio and lighting by hand [1]. This hands-on work requires steady hands, good reflexes, and real-time decision-making that AI can’t fully replace.
In short, AI can take over some repetitive broadcasting tasks (editing, captioning, etc.), but it augments rather than replaces the core work of these techs.

– Broadcasters have clear reasons to use AI: it cuts costs and adds value. Industry reports note that AI has slashed editing, captioning and translation costs, and even lets networks personalize shows or ads for viewers [2] [2]. This can boost viewers and revenue.
Big studios and networks are likely to adopt such tools quickly.
On the other hand, change may be gradual. There are only about 11,000 jobs in this field in the U.S. [1], so these roles are fairly rare. Smaller stations or live venues may delay expensive upgrades.
Also, because crews work in real-time and handle unpredictable events, they’ll want people on site. Social expectations matter too – audiences expect high-quality shows. Overall, AI is more likely to become a tool for these workers than a replacement.
Technicians who learn to work with AI and new equipment can keep finding good jobs, and the industry may even create new roles as it evolves [2] [1].

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They set up and maintain various equipment used for communication and media, ensuring everything works smoothly for broadcasts or recordings.
Median Wage
$67,190
Jobs (2024)
15,100
Growth (2024-34)
+0.6%
Annual Openings
1,100
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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