Strength of current models on the capabilities this job's tasks require.
Task automation potential66/100
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Observed AI adoption0/100
Evidence that AI is actually being used for this work.
Labour-market signal0/100
Observed changes in postings, employment or earnings.
Evidence strength42/100
Quantity and source quality of the evidence behind the score.
1 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.
Overview
Assemble and operate equipment to record, synchronize, mix, edit, or reproduce sound, including music, voices, or sound effects, for theater, video, film, television, podcasts, sporting events, and other productions.
Employment
≈40,000
approx. BLS OES
Median wage
≈$60,000
approx. BLS OES
Tasks tracked
14
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
1 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
model releaseincreasesconfidence 86/100 · magnitude 4820 May 2025
Veo 3 generates video clips with matching speech and sound, removing a separate audio post-production step for short-form content.
Narrows the gap for social and advertising formats. Commercial and broadcast post-production remains largely unaffected.
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
Score · 23 points · 2021-01-01 to 2026-07-01
Reconstruction, not measurement. 5 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
Research published
▲ IMPACT 40
FigAct: Turning Scientific Figures into Active Canvases for Explanation
arXiv:2609.36190v1 Announce Type: new Abstract: Scientific figures are designed to communicate information visually, yet MLLMs typically explain them by translating their visual content back into text. This requires readers to manually map the resulting explanations back to the figure. Inspired by how people present visual information, we introduce FigAct, a framework that transforms static scientific figures into question-conditioned visual presentations by acting directly on their existing graphical elements. Like a human presenter, FigAct generates a sequence of short narrations, grounds ea
Labor research/Confidence:74 · moderate/Verified by AIKillsWhat
New model
▲ IMPACT 48
Video generation with synchronised audio and dialogue
Veo 3 generates video clips with matching speech and sound, removing a separate audio post-production step for short-form content.
Frontier release/Confidence:86 · high/Verified by AIKillsWhat
Common questions regarding Sound Engineering Technicians and AI exposure.
Will AI replace Sound Engineering Technicians?
Current AI models show an exposure score of 46/100 for Sound Engineering Technicians. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Sound Engineering Technicians have the highest AI exposure?
The most exposed tasks for Sound Engineering Technicians include "Keep logs of recordings." (85% exposure) and "Convert video and audio recordings into digital formats for editing or archiving." (85% exposure).
What aspects of Sound Engineering Technicians can AI not do yet?
Tasks with the lowest AI exposure for Sound Engineering Technicians include "Tear down equipment after event completion." (5% exposure) and "Record speech, music, and other sounds on recording media, using recording equipment." (8% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
Embed Sound Engineering Technicians ScoreWidget
Embed this interactive AI exposure card into your article, research, or dashboard.
Disruption Alerts
Track AI exposure changes for Sound Engineering Technicians
We monitor frontier AI model releases and benchmark updates. Enter your email for alerts when this occupation's exposure changes. No spam, ever.
By submitting, you consent to receive career disruption updates. We never share your data. Read our Privacy Policy.
Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.