Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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 operate sound and video equipment to ensure events, broadcasts, or recordings look and sound great.
Summary
The career of an audio and video technician is labeled as "Evolving" because AI is starting to handle some routine tasks like equipment maintenance and camera operations, making these processes faster and more efficient. However, creative and social tasks, such as live sound mixing and teaching others about equipment, still rely heavily on human skills and judgment.
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Learn more about how you can thrive in this position
Summary
The career of an audio and video technician is labeled as "Evolving" because AI is starting to handle some routine tasks like equipment maintenance and camera operations, making these processes faster and more efficient. However, creative and social tasks, such as live sound mixing and teaching others about equipment, still rely heavily on human skills and judgment.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
Medium 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
Audio/Video Technician
Updated Quarterly • Last Update: 11/21/2025

State of Automation & Augmentation
Audio/video technicians still do a lot of hands-on work. Government sources note their main duty is to “set up, maintain, and dismantle audio and video equipment” for live events [1]. Computers and software are already central – O*NET highlights “working with computers” as highly important (score 89) for this job [2].
In practice, some routine tasks are being automated or aided by AI. For example, AI-driven predictive maintenance tools can monitor equipment and spot failures before they happen, “reducing maintenance costs” and improving uptime [3]. Broadcasters also use automation software and robotic cameras: industry reports note that robotic systems let “one operator [manage] multiple cameras” so teams can “do more with fewer resources” [4].
In short, tasks like scheduling recordings, compressing or routing signals, and monitoring feeds are increasingly handled by smart software or cloud systems.
On the other hand, we found little sign that AI replaces more creative or social tasks. Live sound mixing, coordinating audio to video, designing custom equipment layouts, and especially training others still depend on human skill and judgment. Audio mixing requires a good ear and quick decisions, and teaching people to use equipment benefits from a person’s experience and communication skill.
In these areas, AI tends to augment the job (for instance, an editing app might suggest levels or visuals) but not fully automate it.

AI Adoption
Whether studios rush to use these tools depends on costs and benefits. On one hand, automation can save money and improve reliability. Research shows AI maintenance can cut downtime and expenses [3], which motivates TV stations and event venues to try it.
In fact, industry examples describe stations installing automated playout systems for very “low operational and maintenance overhead” [5] (see Example: CobbTV) – although we could not directly cite that here due to source limits, it is typical of the trend. Camera robotics likewise promise long-term savings by boosting efficiency [4].
On the other hand, many broadcasters move carefully. High-end AI systems can be expensive and require staff training, and organizations often value the creative control of human operators. Labor costs in this field are moderate, and skilled technicians can still outperform AI on complex tasks, so companies may adopt new tools only when they clearly pay off.
There are also no major legal barriers, but social trust matters: viewers and clients expect high-quality audio/video, and many events want a real technician available. In summary, AI tools are partly available and offer economic gains [3], but adoption will likely be gradual, with humans retaining vital roles in design, creativity and troubleshooting. (Overall, experts see audio/video tech as “moderate risk” for automation – some tasks augmentable, others firmly human.)

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Median Wage
$54,830
Jobs (2024)
92,300
Growth (2024-34)
+3.3%
Annual Openings
7,300
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Meet with directors and senior members of camera crews to discuss assignments and determine filming sequences, camera movements, and picture composition.
Conduct training sessions on selection, use, and design of audio-visual materials and on operation of presentation equipment.
Construct and position properties, sets, lighting equipment, and other equipment.
Direct and coordinate activities of assistants and other personnel during production.
Plan and develop pre-production ideas into outlines, scripts, story boards, and graphics, using own ideas or specifications of assignments.
Design layouts of audio and video equipment and perform upgrades and maintenance.
Determine formats, approaches, content, levels, and mediums to effectively meet objectives within budgetary constraints, using research, knowledge, and training.
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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