Will AI replace Sound Engineering Technicians?

AI can do 49% of the work Sound Engineering Technicians do at least twice as fast. Real use has not caught up: none of their tasks show up in real AI use yet, but AI could speed up 8 of them. Robots can technically handle 2 physical tasks. 4 still need a person.

AI is already doing this0 · 0% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Real AI use has not reached any of this job's tasks yet.

AI could do this next8 · 49% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Separate instruments, vocals, and other sounds, and combine sounds during the mixing or postproduction stage.16% of time
  • Mix and edit voices, music, and taped sound effects for live performances and for prerecorded events, using sound mixing boards.10% of time
  • Confer with producers, performers, and others to determine and achieve the desired sound for a production, such as a musical recording or a film.9% of time
  • Convert video and audio recordings into digital formats for editing or archiving.4% of time
  • Report equipment problems and ensure that required repairs are made.3% of time
  • Reproduce and duplicate sound recordings from original recording media, using sound editing and duplication equipment.3% of time
  • Keep logs of recordings.3% of time
  • Create musical instrument digital interface programs for music projects, commercials, or film postproduction.3% of time

Robots can technically do this2 · 22% of time

Physical tasks that today's robots can perform in at least some settings. Robots are cost competitive for very few tasks so far, so this change moves slower.

  • Record speech, music, and other sounds on recording media, using recording equipment.Robots: purpose built settings16% of time
  • Prepare for recording sessions by performing such activities as selecting and setting up microphones.Robots: purpose built settings6% of time

Still needs a person4 · 29% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Set up, test, and adjust recording equipment for recording sessions and live performances.10% of time
  • Regulate volume level and sound quality during recording sessions, using control consoles.8% of time
  • Synchronize and equalize prerecorded dialogue, music, and sound effects with visual action of motion pictures or television productions, using control consoles.6% of time
  • Tear down equipment after event completion.4% of time

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What this means

AI can do most of this work faster, but a real part of the job still needs a person. Real use is still behind at 0 out of 100, so the change here is only getting started. The people who learn which tasks to hand off will pull ahead.

What to do next

  • Get ahead on the 8 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Keep an eye on the 2 physical tasks robots can technically do. Cost keeps most robots out of work today, so this shift is slower.
  • Build on the 4 tasks that stay human. This is where your judgment, skill and relationships matter most.

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