Explore safer careers (5)
Lower estimated automation risk
Why it fits
Applies story structure, sequence decisions, production constraints, revisions, and creative coordination.
Why it fits
Uses visual style, sequence choices, brand standards, creative review, and production coordination.
Why it fits
Uses post-production workflow, technical standards, media systems, quality checks, and team coordination.
Why it fits
Applies layout, composition, typography, asset preparation, visual polish, and design software familiarity.
Why it fits
Uses media equipment, file formats, signal flow, troubleshooting, synchronization, and production support.
Occupation snapshot
What does this snowflake show?
What's this?
We rate jobs using four factors. These are:
- Chance of being automated
- Job growth
- Wages
- Volume of available positions
These are some key things to think about when job hunting.
Risk & user votes
Calculated automation risk
Moderate Risk (41-60%): This occupation may be meaningfully affected by automation. Some parts of the role may be suitable for AI, software, or robotics, while others still rely on human skill, judgement, trust, or real-world context. People in this range may benefit from building skills that complement automation and reduce replacement risk.
More information on what this score is, and how it is calculated is available here.
Human strengths important in this job
These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.
Thinking creatively
Very importantWhy this matters
Decision-making and problem solving
Quite importantWhy this matters
Coordinating others’ work
Quite importantWhy this matters
Developing objectives and strategies
Quite importantWhy this matters
Communicating with people outside the organization
Quite importantWhy this matters
Show 2 more strengths
Active learning
Quite importantWhy this matters
Education and training expertise
Quite importantWhy this matters
What users think
Based on 950 votes
Our visitors have voted they are unsure if this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 41% chance of automation.
What do you think the risk of automation is?
What is the likelihood that Film and Video Editors will be replaced by robots or artificial intelligence within the next 20 years?
Sentiment
Based on user votes over time
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How opinions have changed over time
Pay & outlook
Wages
In 2024, the median annual wage for Film and Video Editors was $70,980 ($34 per hour).
The median annual wage for Film and Video Editors was 43.4% higher than the national median annual wage, which stood at $49,500.
View wage trend
Wages over time
Growth
The number of 'Film and Video Editors' job openings is expected to rise 4.0% by 2034
View employment trend
Total employment, and estimated job openings
Updated projections are due 09-2025.
Volume
As of 2024 there were 28,860 people employed as 'Film and Video Editors' within the United States.
This represents around < 0.001% of the employed workforce across the country
Put another way, around 1 in 5 thousand people are employed as 'Film and Video Editors'.
People also viewed
Job description
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.
O*NET-SOC code: 27-4032.00
What people are saying (36)
and besides, any editor who says they enjoy making the kind of content that people are looking to automate are LYING TO THEMSELVES. All that will remain is the kind of editing and the kind of media that AI will never be capable of making. And if, by some crazy happenstance, AI figures THAT out, we'd have already gotten bored of it and made something better.
Think of Film Editing or a Documentary. So many elements like different shots, camera angles, sfx, music, etc. need to be arranged creatively to tell a story in the best possible way. A lot of decision making is involved in every step.
This is purely art form and something which AI cannot replace...yet. Human brain is far more powerful for this type of task.
Repetitive tasks, yes...they can be automated with AI and it will help editors to reach their goal faster.
Watson made a Horror trailer a decade ago, and we haven't seen another AI cut trailer since then or seen any AI even attempt to make anything longer or more complex than a trailer.
Hey maybe by the time I retire we'll finally see a big, AAA studio AI edited movie, but that would be the entire marketing point and when the movie flops because it's just poorly put together (or hell just not a good movie) the suits will shift all the blame to AI technology, which they'll drop faster than 2D animation and relegate it to the 2060 equivalent of Direct to DvD movies.
We also know which clip fits better in a certain place, and which music and sound effect to use in the video.
AI has no emotions or feelings, so there's a very small chance, I think.
This will be challenging for a while, but eventually, the machine learning will have enough data to be able to reliably do this quickly. It will not replace anyone in Hollywood, except perhaps for certain classes of visual effects artists. However, it will replace over half of the video marketing industry.
As Google releases business-class versions of its Google Assistant that can have a conversation with a small business owner, find out what they want, and generate images and video creative for that business owner to serve in purchased digital advertisements. This will be an included service in order to sell more advertising to people who would have never had the funds to both purchase advertising and hire expensive marketing teams to create digital ads and videos.
Furthermore, the AI will be better at placing these ad buys than any human ever could. Already, we are almost there. And thus, all but the most expensive brands, primarily national brands, will replace their social media person or their small marketing team or even their regional marketing agency with one savvy person whose job it is to talk to an AI and get it to create the ads with the creative assets.
We are five years away from AI being able to create images at 24 frames per second, another two years from those videos being usable, another two years for them to be reliable, and then another one to three years for Google to figure out how to seamlessly integrate these learned machines into their ad platform.
It's not a total, across-the-board AI replacement, but the market for user-generated video will shrink dramatically.
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