Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Study scripts to become familiar with production concepts and requirements. · 2.5%
Film and Video Editors
Occupation · SOC 27-4032.00
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.
Also called: Editor · Film Editor · News Editor · Video Editor · News Video Editor · News Videotape Editor · Non-Linear Editor · Online Editor · Tape Editor · Television News Video Editor · Content Creator · Contract Video Editor
Job family: Arts, Design, Entertainment, Sports, and Media Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-27-4032-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Program computerized graphic effects. · 5.0%
- Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions. · 1.3%
- Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers. · 0.6%
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Select and combine the most effective shots of each scene to form a logical and smoothly running story. · 100.0% need a human
- Study scripts to become familiar with production concepts and requirements. · 97.2% need a human
- Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary. · 91.9% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+4.0% by 2034)
- 3,600 openings/yr
- Moderate AI exposure
- Observed AI use leans augmentation
- Median pay $70,980/yr
- Can largely be done remotely (teleworkable)
- A reversal from 2013 — rated low automation risk then (39th), high AI task-overlap now (64th)
64th-percentile task overlap — yet about 3,600 openings a year (+4% projected, BLS), and observed AI use leans 5193% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 73rd | 1.0 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 85th | 0.9 | |
| AI assistant applicability (Microsoft) Moderate | 36th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.3 · 39th percentile among occupations · Moderate
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Study scripts to become familiar with production concepts and requirements. | 3.1% | |
| Program computerized graphic effects. | 1.2% | |
| Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions. | 0.7% | |
| Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers. | 0.4% | |
| Review footage sequence by sequence to become familiar with it before assembling it into a final product. | 0.3% | |
| Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.0% by 2034 |
| Projected annual openings | 3,600 |
| Employment 2024 → 2034 | 43,500 → 45,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Film and Video Editors sits at the 68th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
37% mean task exposure (2025)
68th percentile of 427 placed occupations
+10 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Film, Stage and Related Directors and Producers · 2654 | 37% | Minimal |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 51.9% working with AI · 37.2% handed to AI |
| Most common way people use AI here | Iteration · you and AI go back and forth |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 36.7% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Program computerized graphic effects. | Iteration | 5.0% |
| Study scripts to become familiar with production concepts and requirements. | Directive | 2.5% |
| Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions. | Iteration | 1.3% |
| Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers. | Iteration | 0.6% |
| Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary. | — | 0.4% |
| Select and combine the most effective shots of each scene to form a logical and smoothly running story. | Iteration | 0.3% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Select and combine the most effective shots of each scene to form a logical and smoothly running story. | 100.0% | |
| Study scripts to become familiar with production concepts and requirements. | 97.2% | |
| Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary. | 91.9% | |
| Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers. | 90.3% | |
| Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions. | 89.9% | |
| Program computerized graphic effects. | 67.5% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me program computerized graphic effects.From: Program computerized graphic effects. · 5.0% of measured AI use · task iteration
-
Help me study scripts to become familiar with production concepts and requirements.From: Study scripts to become familiar with production concepts and requirements. · 2.5% of measured AI use · directive
-
Help me confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions.From: 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
-
Help me organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers.From: 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
Tasks
All 23 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers. Core · 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. Core · importance 4.6
- Select and combine the most effective shots of each scene to form a logical and smoothly running story. Core · importance 4.6
- Review footage sequence by sequence to become familiar with it before assembling it into a final product. Core · 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. Core · importance 4.5
- Trim film segments to specified lengths and reassemble segments in sequences that present stories with maximum effect. Core · importance 4.4
- Cut shot sequences to different angles at specific points in scenes, making each individual cut as fluid and seamless as possible. Core · importance 4.4
- Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary. Core · importance 4.4
- Determine the specific audio and visual effects and music necessary to complete films. Supplemental · importance 4.4
- Mark frames where a particular shot or piece of sound is to begin or end. Supplemental · importance 4.3
- Verify key numbers and time codes on materials. Core · 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. Core · importance 4.1
- Program computerized graphic effects. Core · importance 4.1
- Conduct film screenings for directors and members of production staffs. Supplemental · importance 4.0
- Record needed sounds or obtain them from sound effects libraries. Supplemental · importance 4.0
- Study scripts to become familiar with production concepts and requirements. Core · importance 4.0
- Discuss the sound requirements of pictures with sound effects editors. Supplemental · importance 4.0
- Piece sounds together to develop film soundtracks. Supplemental · importance 3.9
- Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions. Supplemental · importance 3.8
- Supervise and coordinate activities of workers engaged in film editing, assembling, and recording activities. Core · importance 3.8
- Develop post-production models for films. Supplemental · importance 3.7
- Collaborate with music editors to select appropriate passages of music and develop production scores. Supplemental · importance 3.6
- Estimate how long audiences watching comedies will laugh at each gag line or situation to space scenes appropriately. Supplemental
Emerging tasks
Newer responsibilities O*NET has flagged as growing for this occupation.
- Write scripts.
Work activities
- Edit audio or video recordings.
- Study scripts to determine project requirements.
- Determine presentation subjects or content.
- Label production materials.
- Verify accuracy of data.
- Manage content of broadcasts or presentations.
- Create computer-generated graphics or animation.
- Operate communications, transmissions, or broadcasting equipment.
- Operate audio recording equipment.
- Collaborate with others to determine technical details of productions.
- Coordinate activities of production personnel.
- Develop promotional materials.
- Provide information to coworkers.
- Collaborate with others to prepare or perform artistic productions.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Abilities
| Oral Comprehension | 3.9 | |
| Near Vision | 3.9 | |
| Oral Expression | 3.8 | |
| Information Ordering | 3.8 | |
| Written Comprehension | 3.6 | |
| Fluency of Ideas | 3.6 | |
| Visualization | 3.6 | |
| Originality | 3.5 | |
| Speech Clarity | 3.5 | |
| Written Expression | 3.4 | |
| Deductive Reasoning | 3.4 | |
| Category Flexibility | 3.4 | |
| Selective Attention | 3.4 | |
| Speech Recognition | 3.4 | |
| Problem Sensitivity | 3.3 | |
| Inductive Reasoning | 3.1 | |
| Flexibility of Closure | 3.1 | |
| Perceptual Speed | 3.1 | |
| Visual Color Discrimination | 3.1 |
Essential skills
| Active Listening | 3.8 | |
| Critical Thinking | 3.5 | |
| Reading Comprehension | 3.4 | |
| Speaking | 3.3 | |
| Active Learning | 3.3 | |
| Writing | 3.1 |
Transferable skills
| Complex Problem Solving | 3.3 | |
| Judgment and Decision Making | 3.1 | |
| Time Management | 3.1 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 46.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Communication, Journalism, and Related Programs , Communications Technologies/Technicians and Support Services , Visual and Performing Arts . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 65.1% | |
| Associate's Degree (or other 2-year degree) | 16.9% | |
| High School Diploma | 16.3% | |
| Some College Courses | 1.2% | |
| Master's Degree | 0.6% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Interest areas
| Media | 6.6 | |
| Visual Arts | 6.2 | |
| Applied Arts and Design | 5.8 | |
| Information Technology | 3.3 | |
| Performing Arts | 3.2 | |
| Creative Writing | 2.9 | |
| Music | 2.7 | |
| Management/Administration | 2.4 | |
| Marketing/Advertising | 2.1 |
Career interests (Holland / RIASEC)
| Artistic | 5.6 | |
| Conventional | 3.8 | |
| Realistic | 3.1 | |
| Enterprising | 3.1 |
Work styles
| Dependability | 4.0 | |
| Attention to Detail | 3.0 | |
| Innovation | 2.4 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $39,170 |
| 25th percentile | $50,230 |
| Median (50th) | $70,980 |
| 75th percentile | $101,570 |
| 90th percentile | $145,900 |
| People employed | 28,860 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Information · Sector | 18,900 | $76,440 |
| Professional, Scientific, and Technical Services · Sector | 5,200 | $61,140 |
| Arts, Entertainment, and Recreation · Sector | 1,220 | $62,600 |
| Television Broadcasting Stations · National industry | 1,040 | $51,290 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 910 | $100,290 |
| Educational Services · Sector | 720 | $50,820 |
| Management of Companies and Enterprises · Sector | 410 | $72,990 |
| Retail Trade · Sector | 360 | $67,480 |
| Temporary Help Services · National industry | 340 | $100,300 |
| Wholesale Trade · Sector | 280 | $76,760 |
| Other Services (except Public Administration) · Sector | 210 | $60,700 |
| Newspaper Publishers · National industry | 190 | $100,270 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Television Broadcasting Stations · National industry | 85.59× | 1,040 |
| Information · Sector | 34.73× | 18,900 |
| Newspaper Publishers · National industry | 11.2× | 190 |
| Professional, Scientific, and Technical Services · Sector | 2.58× | 5,200 |
| Arts, Entertainment, and Recreation · Sector | 2.47× | 1,220 |
| Management of Companies and Enterprises · Sector | 0.78× | 410 |
| Temporary Help Services · National industry | 0.69× | 340 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 0.54× | 910 |
Related occupations
Part of the Arts, Entertainment, & Design career cluster.
- Editors · 27-3041.00 Compare →
- Producers and Directors · 27-2012.00 Compare →
- Special Effects Artists and Animators · 27-1014.00 Compare →
- Desktop Publishers · 43-9031.00 Compare →
- Media Technical Directors/Managers · 27-2012.05 Compare →
- Audio and Video Technicians · 27-4011.00 Compare →
- Graphic Designers · 27-1024.00 Compare →
- Sound Engineering Technicians · 27-4014.00 Compare →
- Camera Operators, Television, Video, and Film · 27-4031.00 Compare →
- Proofreaders and Copy Markers · 43-9081.00 Compare →
- Media Programming Directors · 27-2012.03 Compare →
- News Analysts, Reporters, and Journalists · 27-3023.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Film and Video Editors — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Communication, Journalism, and Related Programs · field of study
- Communications Technologies/Technicians and Support Services · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 68th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Film and Video Editors show 64th-percentile AI task overlap — and about 3,600 annual U.S. openings
- Film and Video Editors rank in the 64th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 3,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+4%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $70,980, across about 28,860 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 52% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Film and Video Editors show 64th-percentile AI task overlap — and about 3,600 annual U.S. openings • Film and Video Editors rank in the 64th percentile (Moderate band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 3,600 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $70,980, across about 28,860 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 52% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Film and Video Editors". https://singulariki.com/roles/role-27-4032-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Film and Video Editors." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-27-4032-00
APA
Singulariki. (2026). Film and Video Editors. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-27-4032-00
BibTeX
@misc{singulariki-role-27-4032-00,
title = {Film and Video Editors},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-27-4032-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.