BETA

Updated: Feb 6

BETA

Updated: Feb 6

Back to Home

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

38.9%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:

Low

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

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.

Summary

This career is labeled as "Evolving" because AI is starting to take over some routine tasks, like live transcription and camera tracking, making the job easier but also changing how it's done. However, the hands-on work, such as setting up equipment and solving problems on-site, still needs human skills and creativity that AI can't replace.

Read full analysis

Learn more about how you can thrive in this position

View analysis

Chat with Coach

47.5%

Low Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

Learn about this score

Growth Rate (2024-34):

0.6%

Growth Percentile:

29.0%

Annual Openings:

1.1

Annual Openings Pct:

12.3%

Analysis of Current AI Resilience

Media & Comm. Equip. Wkrs.

Updated Quarterly • Last Update: 11/21/2025

Analysis

Suggested Actions

Section 2: AI Adoption

Whether companies use AI quickly depends on costs and benefits. Many useful AI tools (like auto‐translation, captioning, and smart camera features) are now available, so media firms can choose them to save time if they want ^[1] ^[3]. However, buying and training for new hardware (robotic cameras, smart consoles, etc.) can be expensive.

Technicians in this field earn roughly $32/hour on average ^[5], and the AV industry reports that hiring skilled workers is a top concern ^[6]. In other words, companies are balancing the cost of high-tech equipment against paying experienced people. Many broadcasters proceed cautiously: as one trade article put it, they aim to improve efficiency with AI “without compromising jobs” ^[3].

In this way, adoption may be gradual. The hope is that AI will handle repetitive tasks (like monitoring systems or processing data) while skilled technicians continue to do the on-site setup, problem-solving and creative work that machines can’t do ^[1] ^[3].