Arts & Media · SOC 27-4014
AI-assisted mixing tools are advancing fast, but live session judgment and creative collaboration remain beyond current automation.
A large share of tasks is exposed; the role will change a lot.
Timeline: AI mastering and mixing plugins have disrupted home studios; professional engineers who manage live sessions and client relationships will remain differentiated for 5+ years.
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Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Sound Engineering Technicians is at risk on AIFear. A large share of tasks is exposed; the role will change a lot.
AIFear.com
Our AI Fear Score for Sound Engineering Technicians is 55/100 (At risk). A large share of tasks is exposed; the role will change a lot.
55 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Logging and archiving recorded takes, Synchronizing pre-recorded audio to video timecodes, Applying standard EQ and mixing presets, Transcribing and labeling recorded sessions. Harder to automate: Live session setup and microphone selection, Creative direction during recording sessions, Real-time mixing decisions during live performance, Client collaboration and listening communication.
Lean into Digital audio workstation (DAW) mastery, AI-assisted mixing and mastering tools, Live sound reinforcement, Acoustic analysis, Music production. Consider roles such as Music producer or Podcast audio engineer or Live sound engineer for touring.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.