Community Sentiment
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AI Automation Index
Will AI Replace Sound Engineering Technicians?
Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Sound Engineering Technicians. Run the upskilling simulator.
AI Vulnerability
61%
risk score
Median Salary
$73,130 / year
Growth Demand
Low
Constituent Task Mix
We parsed O*NET's 14 constituent tasks for this occupation and classified them by AI threat risk.
High Automation Risk (Routine Tasks) 36%
Medium Automation Risk (Cognitive/Technical) 50%
Low Automation Risk (Strategy/Leadership) 14%
How would you survive?
Automate your routine tasks and design your day around strategic advisory to future-proof this score.
Simulate Upskilling →constituent Tasks
Confer with producers, performers, and others to determine and achieve the desired sound for a production, such as a musical recording or a film.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Regulate volume level and sound quality during recording sessions, using control consoles.
Routine cognitive or manual task with high vulnerability to automation.
Record speech, music, and other sounds on recording media, using recording equipment.
Routine cognitive or manual task with high vulnerability to automation.
Separate instruments, vocals, and other sounds, and combine sounds during the mixing or postproduction stage.
Semi-structured task combining routine and non-routine responsibilities.
Set up, test, and adjust recording equipment for recording sessions and live performances.
Semi-structured task combining routine and non-routine responsibilities.
Report equipment problems and ensure that required repairs are made.
Semi-structured task combining routine and non-routine responsibilities.
Prepare for recording sessions by performing such activities as selecting and setting up microphones.
Semi-structured task combining routine and non-routine responsibilities.
Mix and edit voices, music, and taped sound effects for live performances and for prerecorded events, using sound mixing boards.
Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.
Keep logs of recordings.
Routine cognitive or manual task with high vulnerability to automation.
Tear down equipment after event completion.
Semi-structured task combining routine and non-routine responsibilities.
Synchronize and equalize prerecorded dialogue, music, and sound effects with visual action of motion pictures or television productions, using control consoles.
Semi-structured task combining routine and non-routine responsibilities.
Reproduce and duplicate sound recordings from original recording media, using sound editing and duplication equipment.
Routine cognitive or manual task with high vulnerability to automation.
Convert video and audio recordings into digital formats for editing or archiving.
Routine cognitive or manual task with high vulnerability to automation.
Create musical instrument digital interface programs for music projects, commercials, or film postproduction.
Semi-structured task combining routine and non-routine responsibilities.
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<script src="https://giniloh.com/embed.js" async></script> O*NET Methodology
O*NET Data Source
This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.
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