Develop post-production models for films.

“Develop post-production models for films.” is a supplemental task performed by Film and Video Editors. Among the occupation's 23 rated tasks, workers place it 3rd by importance (#21 most important). About 41% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Develop marketing or promotional materials. in Thinking Creatively

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T2.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.002% share of AI-use records mapped to this task

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Other tasks in this occupation

• Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers. · importance 4.7
• Edit films and videotapes to insert music, dialogue, and sound effects, to arrange films into sequences, and to correct errors, using editing equipment. · importance 4.6
• Select and combine the most effective shots of each scene to form a logical and smoothly running story. · importance 4.6
• Review footage sequence by sequence to become familiar with it before assembling it into a final product. · importance 4.5
• Set up and operate computer editing systems, electronic titling systems, video switching equipment, and digital video effects units to produce a final product. · importance 4.5
• Trim film segments to specified lengths and reassemble segments in sequences that present stories with maximum effect. · importance 4.4
• Cut shot sequences to different angles at specific points in scenes, making each individual cut as fluid and seamless as possible. · importance 4.4
• Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary. · importance 4.4
• Determine the specific audio and visual effects and music necessary to complete films. · importance 4.4
• Mark frames where a particular shot or piece of sound is to begin or end. · importance 4.3
• Verify key numbers and time codes on materials. · importance 4.2
• 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. · importance 4.1
• Program computerized graphic effects. · importance 4.1
• Record needed sounds or obtain them from sound effects libraries. · importance 4.0

See all tasks on the Film and Video Editors page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-4067,
  title  = {Develop post-production models for films.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-4067}
}