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needsahuman

Will AI replace film and video editors?

A little.

This job scores 66 out of 100 on (higher is safer). Today AI could do about 4% of the work by itself, people do 69% with AI’s help, and 27% still needs a person.

Updated 3 October 2026O*NET-SOC 27-4032UK SOC 3416Release 2026-Q4
Arts, Design, Entertainment, Sports, and MediaFilm and Video Editors27-4032 · 2026-Q4
4% AI does it69% AI helps27% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 27%AI helps 69%AI does it 4%
Each ridge is a slice of the job's task time.Needs a human 27%AI helps 69%AI does it 4%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Film and Video Editors, O*NET-SOC 27-4032. 27% of the job’s task time still needs a human, so 27 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from O*NET, and where AI stands on each today. 27% of the task time still needs a human.

Each block is one task; its height is its share of working time.Needs a human 27%AI helps 69%AI does it 4%
The job's task list: the parts AI can do are blacked out.Needs a human 27%AI helps 69%AI does it 4%
Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers.AI helps
Edit films and videotapes to insert music, dialogue, and sound effects, to arrange films into sequences, and to correct errors, using editing equipment.AI helps
Select and combine the most effective shots of each scene to form a logical and smoothly running story.AI helps
Review footage sequence by sequence to become familiar with it before assembling it into a final product.AI helps
Set up and operate computer editing systems, electronic titling systems, video switching equipment, and digital video effects units to produce a final product.Needs a human
Trim film segments to specified lengths and reassemble segments in sequences that present stories with maximum effect.AI helps
Cut shot sequences to different angles at specific points in scenes, making each individual cut as fluid and seamless as possible.AI helps
Review assembled films or edited videotapes on screens or monitors to determine if corrections are necessary.AI helps
Verify key numbers and time codes on materials.AI helps
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.Needs a human
Program computerized graphic effects.AI helps
Study scripts to become familiar with production concepts and requirements.AI does it
Supervise and coordinate activities of workers engaged in film editing, assembling, and recording activities.Needs a human
Determine the specific audio and visual effects and music necessary to complete films.AI helps
Mark frames where a particular shot or piece of sound is to begin or end.AI helps
Record needed sounds or obtain them from sound effects libraries.AI helps
Conduct film screenings for directors and members of production staffs.Needs a human
Discuss the sound requirements of pictures with sound effects editors.Needs a human
Piece sounds together to develop film soundtracks.AI helps
Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions.Needs a human
Develop post-production models for films.AI helps
Collaborate with music editors to select appropriate passages of music and develop production scores.Needs a human

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is graded A to D, and vendor studies are labelled as such.

When could it be replaced?

Could be largely automated 2036–2048

80% of scenarios between 2036 and 2048. A range from our scenario model of capability, adoption and friction, not a forecast that the job ends.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten scenarios behind its replacement range.

Today
Will AI replace this job?
A little.
By 2045
100%
of our scenarios have AI largely doing this job by 2045 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)
By 2060
100%
of our scenarios have AI largely doing this job by 2060 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could do a little of this job (A little.)100%Today2030: 30.0% of scenarios: AI could do a little of this job (A little.)30%2030: 70.0% of scenarios: AI could partly do this job (Partly.)70%20302035: 30.0% of scenarios: AI could partly do this job (Partly.)30%2035: 50.0% of scenarios: AI could mostly do this job (Mostly.)50%2035: 20.0% of scenarios: AI could largely do this job (Largely.)20%20352040: 30.0% of scenarios: AI could mostly do this job (Mostly.)30%2040: 70.0% of scenarios: AI could largely do this job (Largely.)70%20402045: 100.0% of scenarios: AI could largely do this job (Largely.)100%20452050: 100.0% of scenarios: AI could largely do this job (Largely.)100%20502055: 100.0% of scenarios: AI could largely do this job (Largely.)100%20552060: 100.0% of scenarios: AI could largely do this job (Largely.)100%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%100.0%0.0%
20300.0%0.0%70.0%30.0%0.0%
203520.0%50.0%30.0%0.0%0.0%
204070.0%30.0%0.0%0.0%0.0%
2045100.0%0.0%0.0%0.0%0.0%
2050100.0%0.0%0.0%0.0%0.0%
2055100.0%0.0%0.0%0.0%0.0%
2060100.0%0.0%0.0%0.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from O*NET work context, licensing and the evidence we have.

Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Clients want a personFace-to-face contact is rated 4.9 and physical closeness 3.2 out of 5; caring for or serving people is 2.6 out of 5 in importance.
LiabilityMistakes are rated 2.6 out of 5 for consequence and decisions 2.8 out of 5 for impact; someone has to answer for them.
LicensingUsual entry requirement (BLS): bachelor's degree.
RegulationWorkers rate responsibility for others' health and safety 1.7 out of 5.
Physical work0% of the task time is physical.

What would it cost to hand the work to AI?

The share of the year AI could handle (770 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$80–$7,700
A person’s wage for the same hours
$14,900–$54,960

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

0%
of the task time is physical work
None needed
the kind of robot the physical work would need
Little of this job is physical, so robotics is not what holds AI back.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 27%AI helps 69%AI does it 4%
Writing · 0% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 9.1% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 4.6% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 53.1% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 6.9% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 11.5% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 0% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 14.9% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 27%AI helps 69%AI does it 4%
How exposed is it?

Still needs a human: 66/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 27% needs a human, 69% AI helps, 4% AI does it. Still needs a human: 66/100 ↑ safer. Will AI replace them? A little.

People are asking

How often people ask whether AI will replace this job: on Google, and by estimate, in AI assistants.

In the US

40
Google searches a month, 12-month average to August 2026
Google searches a month, September 2025 to August 2026: from 30 to 30
480
estimated questions to AI assistants in September 2026
Estimated questions to AI assistants a month, October 2025 to September 2026: from 12 to 480
1.56
Google searches a month for every 1,000 people in the job
50th of 197 among all jobs we have search data for

In the UK

10
Google searches a month, 12-month average to August 2026
84
estimated questions to AI assistants in September 2026
0.4
Google searches a month for every 1,000 people in the job in the UK (estimated)
115th of 197 among jobs we have UK search data for

Source: DataForSEO, US and UK, fetched October 3, 2026. Google figures are Google Ads’ rounded monthly averages. The AI figure is DataForSEO’s estimate from Google’s “People also ask” data, not a count from any AI assistant. UK workers are ONS employment figures matched to this job, so the UK rate per 1,000 is an estimate. Search figures are not part of our open dataset.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 66/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate many routine editing tasks, but human editors will still be needed for creative judgment, storytelling, taste, and client collaboration.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudePartly

AI will automate many routine editing tasks (cuts, color grading, transcription-based edits), but creative decision-making and storytelling nuance will likely still require human editors, at least for higher-end or artistic work.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

While AI will automate routine tasks like cutting, color grading, and basic assembly, human editors will still be essential for high-level storytelling, nuanced emotional pacing, and creative vision.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will replace many routine editing tasks, but human editors will remain essential for storytelling, judgment, and creative direction.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Film and Video Editors? A little. Still needs a human: 66/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/film-and-video-editors/ (accessed 3 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

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The badge updates itself with each release and links back to this page.

Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.