Somewhat Resilient
Last Update: 8/30/2026
AI Resilience Score for Sound Engineering Tech:
46.4%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Med
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forSound Engineering Technicians
$73,130 median salary•1,000 annual openings•SOC Code: 27-4014.00
Sound Engineering Technicians are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Sound engineering is labeled "Somewhat Resilient" because AI is genuinely changing parts of this job, especially the repetitive tasks like transcription, basic mixing, and file management, but the most human parts of the work remain hard to replace. Tools built into software like Pro Tools and modern DAWs are already handling basic EQ and dynamics adjustments automatically, which means engineers who only do those foundational tasks may find less demand for their services over the next 10 years.
Learn more about how you can thrive in this position
This role is somewhat resilient
Sound engineering is labeled "Somewhat Resilient" because AI is genuinely changing parts of this job, especially the repetitive tasks like transcription, basic mixing, and file management, but the most human parts of the work remain hard to replace. Tools built into software like Pro Tools and modern DAWs are already handling basic EQ and dynamics adjustments automatically, which means engineers who only do those foundational tasks may find less demand for their services over the next 10 years.
Read full analysisLearn more about how you can thrive in this position
Analysis of Current AI Resilience
Sound Engineering Tech
Updated Quarterly

How is AI changing Sound Engineering Tech jobs?
Right now, AI is mostly showing up as a helpful assistant for sound engineers rather than a replacement — but that balance is shifting. The U.S. Bureau of Labor Statistics notes that in motion picture and sound recording, advances in technology, including AI, will allow fewer technicians to set up and operate broadcast, lighting, and sound systems [1], which is expected to reduce demand for these workers over 2025–2035. The most automated tasks tend to be the repetitive ones — file conversion, logging, and duplication — which is why platforms like Pro Tools now include AI-powered Speech-to-Text that automatically transcribes dialogue and lyrics and carries data through processing operations [2].
NAMM reports that DAWs are integrating AI features and on-device AI is embedding itself inside synths and performance rigs [3], enabling real-time tone modeling and responsive accompaniment. A Sound on Sound survey of music pros found that 58% see AI's role as primarily supportive, with only 9% expecting full automation [4] — and that basic "bread and butter" mixing skills like EQ and dynamics control are increasingly being handled by AI.
Sources

How fast is AI adoption growing for Sound Engineering Tech?
Adoption is moving quickly on the recording and post-production side because the tools are cheap, downloadable, and already inside software engineers use daily. Even superstar producer Dr. Dre told Mix Magazine he's embracing AI and treating it like a new creative tool, comparing skeptics to people who once resisted drum machines [5]. Research.com reports that AI adoption in creative audio roles is projected to increase by over 30% in the next five years [6], but also emphasizes that technical intuition, collaborative leadership, and cultural awareness remain hard for AI to replicate.
Live event work — setting up mics, tearing down gear, and communicating with performers — is adopting AI more slowly because it's physical, unpredictable, and relationship-driven. The good news: the human parts of this job (creative judgment, ears, teamwork) are exactly what stays valuable.
Sources

Will AI replace Sound Engineering Tech?
Not entirely. We think AI will take over some tasks, but not the whole job.
Sound engineering technicians earn a 46.4% AI Resilience Score from us, which reflects real pressure without spelling the end of the career. The repetitive, behind-the-scenes work is already shifting. AI tools inside platforms like Pro Tools now handle automatic transcription, file processing, and basic mixing tasks like EQ and dynamics control [2]. DAWs are embedding AI features directly, including real-time tone modeling and responsive accompaniment [3]. That part of the job will keep shrinking.
What stays human is the part that matters most: creative judgment, trained ears, and the ability to read a room. A Sound on Sound survey found that only 9% of music pros expect full automation, with the majority seeing AI as supportive rather than a replacement [4]. Live event work, where you're setting up gear, managing unpredictable situations, and communicating with performers, is adopting AI far more slowly. Those relationship-driven, physical skills are genuinely hard to automate.
The honest catch is that employer demand for this role is expected to soften through 2035, as the BLS notes that AI will allow fewer technicians to handle the same workload [1]. So the job survives, but competition for it likely increases. Learning the AI tools, not avoiding them, is the clearest path forward.
Sources

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Latest AI news for Sound Engineering Tech
These articles highlight the evolving landscape for Sound Engineering Technicians amidst AI advancements. Andrew Owens’ work on AI that perceives sound and emotion can enhance audio production, offering new tools for creativity. However, concerns about AI diminishing the personal touch in music-making suggest that technicians must adapt and embrace these technologies to remain relevant. As AI transforms the industry, being resilient and innovative will empower students to carve out meaningful roles in sound engineering, ensuring they contribute creatively even as the tools change.

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“The whole process left me feeling flat and empty”: With AI now threatening to make the DAW obsolete, is it finally time to stand up to the tech taking the very soul out of music-making?
www.musicradar.com • 1/5/2026
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New Faculty Andrew Owens Makes AI That Sees, Hears, and Feels
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Cornell Tech faculty member Andrew Owens wants computers to learn like humans do — by watching, listening, and feeling the world around...
More Career Info
Career: Sound Engineering Technicians
They make sure music and sound are clear and balanced at events or in recordings by setting up and adjusting audio equipment.
Parent Careers
Employment & Wage Data
Median Wage
$73,130
Jobs (2025)
15,000
Growth (2025-35)
-3.1%
Annual Openings
1,000
Education
Postsecondary nondegree award
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2025-2035
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Tear down equipment after event completion.
2
Confer with producers, performers, and others to determine and achieve the desired sound for a production, such as a musical recording or a film.
3
Prepare for recording sessions by performing such activities as selecting and setting up microphones.
4
Set up, test, and adjust recording equipment for recording sessions and live performances.
5
Report equipment problems and ensure that required repairs are made.
6
Mix and edit voices, music, and taped sound effects for live performances and for prerecorded events, using sound mixing boards.
7
Regulate volume level and sound quality during recording sessions, using control consoles.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
