Key findings
GenAI is set to impact but not transform the work of Sound Engineering Technicians.
Blue-collar jobs like this are unlikely to be automated by GenAI due to the physical nature of the tasks involved.
The unique automation wave of GenAI may actually increase demand for blue-collar workers, leading to a rise in their income share.
While some skills of this job may be automated in the future, tasks such as reading comprehension, active listening, critical thinking, and complex problem solving will still require human expertise.
Sound Engineering Technicians will remain shielded from major AI disruption, ensuring their continued relevance in the workforce.
How could AI or automation replace or complement job activities?
AI, automation, or LLMs like Chatgpt could potentially enhance certain aspects of sound engineering technicians’ tasks.
While they may assist in tasks like sound editing and format conversion, the nuanced decision-making and creative collaboration required in recording sessions are areas where human expertise is irreplaceable.
For instance, AI could streamline the process of synchronizing sound effects with visual action in film production, but the artistic judgment and communication skills needed to achieve the desired sound quality remain uniquely human.
Job description
Operates equipment to record, mix, and edit sound for various productions such as theater, film, television, and podcasts.
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