How much of this occupation’s work can be materially affected by current AI systems.
How likely exposure is to translate into reduced human demand.
Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured
Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.
What is driving the score?
Occupation scores are built from the task mix—not a single prediction about a job title.
Where AI can do more
Routine, digitized, and highly repeatable tasks face the greatest pressure.
- Select and combine the most effective shots of each scene to form a logical and smoothly running story.76
- Review footage sequence by sequence to become familiar with it before assembling it into a final product.76
- Mark frames where a particular shot or piece of sound is to begin or end.76
- Study scripts to become familiar with production concepts and requirements.76
Where people still matter
These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.
- Cut shot sequences to different angles at specific points in scenes, making each individual cut as fluid and seamless as possible.01
- Trim film segments to specified lengths and reassemble segments in sequences that present stories with maximum effect.02
- Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary.03
- Select and combine the most effective shots of each scene to form a logical and smoothly running story.04
- Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers.05
Related occupations
Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.
Editors
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Compare these careers →Producers and Directors
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Compare these careers →Audio and Video Technicians
Related work
Compare these careers →Adoption and labour-market outlook
Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.
O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.
