Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They set up and maintain various equipment used for communication and media, ensuring everything works smoothly for broadcasts or recordings.
This role is evolving
This career is labeled as "Evolving" because AI is being integrated into tasks like auto-editing and adding captions, which speeds up routine work. However, the core tasks of setting up and managing media equipment still require skilled humans for real-time decision-making and problem-solving.
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 evolving
This career is labeled as "Evolving" because AI is being integrated into tasks like auto-editing and adding captions, which speeds up routine work. However, the core tasks of setting up and managing media equipment still require skilled humans for real-time decision-making and problem-solving.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Low Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Media & Comm. Equip. Wkrs.
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
– 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.

AI in the real world
– 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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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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