Will AI replace AV technicians?
Part of the work, not the whole job. AI could take on about 44% of the working time in a typical AV technician job today. The other 56% still needs a person.
56% of the work still needs a person.
The bracket under the bar is the evidence range for the share AI could take on: 39 to 44%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry.
23 responsibilities in a typical AV technician job. Median pay $58,100 a year in the U.S. (BLS, May 2025).
Still needs a person
- Operate recording and broadcast equipment
- Switch live video sources during broadcasts
- Diagnose and fix media system problems AI helps
- Mix and sync live sound and picture
- Run lights and sound for live events
- Build and position sets and lighting
AI can do or help with
- Diagnose and fix media system problems AI helps
- Direct crew during a production AI helps
- Monitor live picture and sound quality AI helps
- Flag equipment for major repairs AI helps
- Digitize and store audio and video files AI can do it
- Book AV equipment and rooms AI can do it
The biggest responsibilities on each side, ranked by a person's time on the left. "AI helps" means AI takes on part of the work, or most of it with a person checking what it produces, so one can show on both sides. See all 23, with the reason for each and the cost of handing them to AI.
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Questions people ask
Will AI replace AV technicians?
Part of the work, not the whole job. AI could take on about 44% of the working time in a typical AV technician job today. The other 56% still needs a person. That is a split of the work, not a forecast of jobs lost.
Which parts of the job can AI do?
The biggest ones AI can do or help with: diagnose and fix media system problems, direct crew during a production, monitor live picture and sound quality, flag equipment for major repairs, digitize and store audio and video files, book AV equipment and rooms.
Which parts still need a person?
The biggest ones: operate recording and broadcast equipment, switch live video sources during broadcasts, diagnose and fix media system problems, mix and sync live sound and picture, run lights and sound for live events, build and position sets and lighting.
How is this measured?
The U.S. Department of Labor lists 29 responsibilities for this job (O*NET 31.0), and the split covers the 23 people in it do today. Each is scored on 4 questions: can AI do it, does it get it right, must a person sign for it, and do people need to deal with a real person. The split is weighted by how much of the job each responsibility takes up. The evidence range for the share AI could take on is 39 to 44%. One end comes from how well AI did each responsibility in real use, or a second rating where that isn't measured. The other is our figure, which also follows research across the industry. Scores version 0.7.18, updated October 29, 2026.
Responsibilities from O*NET 31.0 (U.S. Department of Labor). Pay from the Bureau of Labor Statistics, May 2025. Scores are calibrated to published research and updated every month. How it works.
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