Will AI Replace Audio and Video Technicians? The Real Story Behind the Numbers
With 58% automation in post-production but only 15% in equipment setup, AI is reshaping AV work unevenly. Here is what 85,000 technicians need to know.
Your favorite concert last weekend probably sounded incredible. The lighting hit perfectly on cue, the bass shook the floor at just the right moment, and every word from the stage came through crystal clear. Behind all of that was an audio and video technician, and right now, that profession is facing a question that keeps a lot of people up at night: is AI coming for my job?
The short answer is nuanced. Our data shows audio and video technicians face an overall AI exposure of 35% [Fact] with an automation risk of just 26 out of 100 [Fact]. That puts this role squarely in the "medium transformation" zone. But the real story is in which tasks are changing and which ones are not. For the full data breakdown, check out the Audio and Video Technicians occupation page.
The Tasks AI Is Changing (and the Ones It Cannot Touch)
Here is where things get interesting. Not all AV work is created equal when it comes to AI vulnerability.
The biggest shift is happening in post-production editing, where AI automation has reached 58% [Fact]. Tools like Adobe Premiere Pro's AI-powered features, DaVinci Resolve's neural engine, and emerging platforms like Runway and Descript are fundamentally changing how audio and video content gets polished after the event. Noise reduction, color grading, audio leveling, and even rough cuts can now happen with minimal human input. If you spend most of your day in an editing bay, this number should have your attention.
Audio mixing and balancing follows at 52% [Fact]. AI-driven mixing tools can now analyze a room's acoustic signature and automatically adjust EQ, compression, and spatial audio settings in ways that used to require years of trained ears. Products like iZotope's Neutron and LANDR are pushing the boundaries of what automated mixing can achieve, particularly for standard corporate events and smaller productions.
But here is the part that should reassure you: setting up and configuring AV equipment sits at just 15% automation [Fact], and troubleshooting technical issues during live events is even lower at 18% [Fact]. Think about what that means. When a speaker's microphone cuts out mid-keynote, when a video feed drops during a live broadcast, when the rigging needs to be adapted to an unusual venue layout, those are moments that demand physical presence, creative problem-solving, and the kind of split-second judgment that AI simply cannot replicate.
This is why the Bureau of Labor Statistics still projects +3% job growth [Fact] for AV technicians through 2034, with approximately 85,000 professionals [Fact] currently employed and a median annual wage of about ,000 [Fact].
The Augmentation Story: Why This Is a "Tool" Not a "Threat"
Our analysis classifies audio and video technicians as an "augment" role, not an "automate" one. The distinction matters enormously.
In an "automate" role, AI directly replaces the human. In an "augment" role, AI becomes a force multiplier. Consider what this looks like in practice: a single AV technician who previously needed two hours to rough-edit event footage can now get AI to generate a first pass in fifteen minutes, then spend their time on creative refinement and client-specific adjustments. A sound engineer setting up for a corporate conference can use AI-powered acoustic analysis to get 80% of the room calibration done automatically, then apply their expertise to fine-tune for the specific needs of the event.
The data reflects this trajectory. In 2023, overall AI exposure for this role was just 22% [Fact]. By 2025, it has climbed to 35% [Fact]. Looking ahead, projections estimate it will reach 49% by 2028 [Estimate], with automation risk rising to 37 out of 100 [Estimate]. That is a meaningful increase, but even at its projected peak, nearly two-thirds of the role remains outside AI's reach.
Compare that to roles like data entry keyers or transcriptionists where automation risk exceeds 70 out of 100, and you can see that AV technicians are in a comparatively strong position.
What AV Technicians Should Do Now
Learn the AI tools in your domain. If you work in post-production, become an expert in AI-assisted editing workflows. The technicians who can leverage tools like Premiere Pro's AI features, DaVinci Resolve's neural engine, or Descript's overdub technology will handle twice the workload at higher quality. Your value goes up, not down.
Double down on live event skills. The 15-18% automation rates for equipment setup and live troubleshooting are not going to spike anytime soon. Complex, physical, real-time work is the moat around this profession. If you have been thinking about getting certified in advanced rigging, immersive audio, or live streaming infrastructure, now is the time.
Expand into hybrid roles. The convergence of AV technology with IT networking, cybersecurity for streaming, and virtual event platforms is creating new hybrid positions that did not exist five years ago. AV technicians who understand network architecture alongside signal flow are increasingly in demand and command higher salaries.
The bottom line: AI is not replacing the person who scrambles behind the stage to fix a broken wireless mic five minutes before showtime. It is replacing repetitive post-production tasks and giving skilled technicians better tools. The professionals who embrace those tools while strengthening their irreplaceable hands-on expertise will not just survive. They will thrive.
Sources
- Anthropic. (2026). The Anthropic Labor Market Impact Report.
- U.S. Bureau of Labor Statistics. Broadcast and Sound Engineering Technicians.
- Eloundou, T., et al. (2023). GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models.
- O*NET OnLine. Audio and Video Technicians.
Update History
- 2026-03-29: Initial publication
This analysis is based on data from the Anthropic Labor Market Report (2026), Eloundou et al. (2023), and U.S. Bureau of Labor Statistics projections. AI-assisted analysis was used in producing this article.