Mostly Resilient

Last Update: 4/23/2026

Your role’s AI Resilience Score is

50.9%

Median Score

Meaningful human contribution

High

Long-term employer demand

Low

Sustained economic opportunity

Med

Our confidence in this score:
Low-medium

Contributing sources

AI Resilience Report forMedia and Communication Equipment Workers, All Other

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.

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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.

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Analysis of Current AI Resilience

Media & Comm. Equip. Wkrs.

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

How is AI changing Media & Comm. Equip. Wkrs. jobs?

– 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.

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AI Adoption

How fast is AI adoption growing for Media & Comm. Equip. Wkrs.?

– 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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More Career Info

Career: Media and Communication Equipment Workers, All Other

They set up and maintain various equipment used for communication and media, ensuring everything works smoothly for broadcasts or recordings.

Employment & Wage Data

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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