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How exposed to AI is a Film and Video Editor?

Of the 23 tasks O*NET lists for film and video editors, 4 could be done in half the time with a chat window today. 5 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
EditorFilm EditorNews EditorNews Video EditorNews Videotape EditorNon-Linear EditorOnline EditorTape EditorTelevision News Video EditorVideo Editor
Reachable today Needs software built first Cannot be sped up
23
tasks rated for this occupation
66%
hold a degree, from a survey of only 19
28k
people do this job in the US
10 of 40
least protected in arts, design and media

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

4
  • Study scripts to become familiar with production concepts and requirements
  • Determine the specific audio and visual effects and music necessary to complete films
  • Develop post-production models for films
  • Collaborate with music editors to select appropriate passages of music and develop production scores

Only with software built on top

14
  • Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers
  • Edit films and videotapes to insert music, dialogue, and sound effects, to arrange films into sequences, and to correct errors, using editing equipment
  • Select and combine the most effective shots of each scene to form a logical and smoothly running story
  • Review footage sequence by sequence to become familiar with it before assembling it into a final product
  • Trim film segments to specified lengths and reassemble segments in sequences that present stories with maximum effect
  • Cut shot sequences to different angles at specific points in scenes, making each individual cut as fluid and seamless as possible
  • Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary
  • Verify key numbers and time codes on materials
  • Manipulate plot, score, sound, and graphics to make the parts into a continuous whole, working closely with people in audio, visual, music, optical, or special effects departments
  • Program computerized graphic effects
  • Discuss the sound requirements of pictures with sound effects editors
  • Piece sounds together to develop film soundtracks
  • Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions
  • Estimate how long audiences watching comedies will laugh at each gag line or situation to space scenes appropriately

Cannot be sped up

5
  • Set up and operate computer editing systems, electronic titling systems, video switching equipment, and digital video effects units to produce a final product
  • Supervise and coordinate activities of workers engaged in film editing, assembling, and recording activities
  • Mark frames where a particular shot or piece of sound is to begin or end
  • Record needed sounds or obtain them from sound effects libraries
  • Conduct film screenings for directors and members of production staffs
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.