# Film and Video Editors

> Edit moving images on film, video, or other media. May work with a producer or director to organize images for final production. May edit or synchronize soundtracks with images.

- **SOC code:** 27-4032.00
- **Canonical URL:** https://singulariki.com/roles/role-27-4032-00
- **Also known as:** Editor, Film Editor, News Editor, Video Editor, News Video Editor, News Videotape Editor, Non-Linear Editor, Online Editor
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- 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.
- Set up and operate computer editing systems, electronic titling systems, video switching equipment, and digital video effects units to produce 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.
- Determine the specific audio and visual effects and music necessary to complete films.
- Mark frames where a particular shot or piece of sound is to begin or end.
- 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.

**Emerging tasks** (O*NET):
- Write scripts.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Communications and Media _(knowledge)_
- English Language _(knowledge)_
- Computers and Electronics _(knowledge)_
- Telecommunications _(knowledge)_
- Fine Arts _(knowledge)_
- Oral Comprehension _(ability)_
- Near Vision _(ability)_
- Active Listening _(essential_skill)_
- Oral Expression _(ability)_
- Information Ordering _(ability)_
- Production and Processing _(knowledge)_
- Written Comprehension _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Telecommunications _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Visualization _(Specialized Skill)_
- TikTok _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Adobe Photoshop _(Specialized Skill)_
- Adobe InDesign _(Specialized Skill)_
- Adobe Illustrator _(Specialized Skill)_
- Adobe After Effects _(Specialized Skill)_
- Speech Recognition _(Specialized Skill)_

**Tools & technology:**
- Adobe After Effects _(hot technology, in demand)_
- Adobe Creative Cloud software _(hot technology, in demand)_
- Adobe Illustrator _(hot technology, in demand)_
- Adobe InDesign _(hot technology, in demand)_
- Adobe Photoshop _(hot technology, in demand)_
- TikTok _(hot technology, in demand)_
- AJAX _(hot technology)_
- Cascading style sheets CSS _(hot technology)_
- Extensible markup language XML _(hot technology)_
- Hypertext markup language HTML _(hot technology)_
- JavaScript _(hot technology)_
- Microsoft Excel _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 64th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 73rd percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 85th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 36th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 39th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 4.0% growth (About average); 3.6k annual openings; 43.5k → 45.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $70,980; 28,860 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 37% automation, 52% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Program computerized graphic effects. _(5.0% of measured AI use; task iteration)_
- Study scripts to become familiar with production concepts and requirements. _(2.5% of measured AI use; directive)_
- Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions. _(1.3% of measured AI use; task iteration)_
- Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers. _(0.6% of measured AI use; task iteration)_
- Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary. _(0.4% of measured AI use)_
- Select and combine the most effective shots of each scene to form a logical and smoothly running story. _(0.3% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me program computerized graphic effects.
- Help me study scripts to become familiar with production concepts and requirements.
- Help me confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions.
- Help me organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers.
- Help me review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-27-4032-00_