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Will AI replace Audio and Video Technicians?

Set up, maintain, and dismantle audio and video equipment, such as microphones, sound speakers, connecting wires and cables, sound and mixing boards, video cameras, video monitors and servers, and related electronic equipment for live or recorded events, such as concerts, meetings, conventions, presentations, podcasts, news conferences, and sporting events. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 27-4011.00 · modeled exposure, not guaranteed job loss
MODERATE TASK EXPOSURE
40%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
40%Automatable
Automatable40%
Augmentable30%
Hard to automate30%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Creative & Design
Design & Visual
Modeled pay midpoint$
$74,300/yr
Directional estimate — verify locally
Time until impact⌁
2–4 years
Earliest 2027 · widespread 2029–2031
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Notify supervisors when major equipment repairs are needed.50%
⚙Diagnose and resolve media system problems.38%
▥Direct and coordinate activities of assistants and other personnel during production.25%
✦Original taste and cultural judgment20%
✦Understanding what a specific client actually means16%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2027Next2029–2031
Early impactAI begins supporting notify supervisors when major equipment repairs are needed..
Role reshapingRepeatable tasks become faster and more automated.
Wider adoptionThe role centers more on original taste and cultural judgment.
2–4 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Audio and Video Technicians.
02>AI can help with: Notify supervisors when major equipment repairs are needed.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Original taste and cultural judgment.
05>Likely result: AI is more likely to change this job than remove it.
06>Important: 40% is estimated task exposure—not a 40% chance of losing the job.
What AI can do
Notify supervisors when major equipment repairs are needed.MEDIUM
Diagnose and resolve media system problems.LOW MATCH
Direct and coordinate activities of assistants and other personnel during production.LOW MATCH
How estimates work →
Your human moat
◆

Original taste and cultural judgment

MEDIUM-HIGH

Combined with understanding what a specific client actually means, this keeps a human in the loop.

Strength8.2
Similar-role comparison
RoleRisk
Audio and Video Technicians40%
Lighting Technicians40%
Floral Designers42%
Logo Designer43%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The role mixes repeatable work with human judgment.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is original taste and cultural judgment.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Lighting Technicians · 40% exposureFloral Designers · 42% exposureLogo Designer · 43% exposure