Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They create the final version of movies or videos by selecting and arranging scenes, adding effects, and making sure everything flows smoothly.
This role is evolving
The career of film and video editing is labeled as "Evolving" because AI tools are becoming more common in handling routine tasks like trimming and arranging clips. This means editors need to adapt by learning how to use these new technologies while continuing to focus on the creative aspects, like storytelling and collaborating with directors.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is evolving
The career of film and video editing is labeled as "Evolving" because AI tools are becoming more common in handling routine tasks like trimming and arranging clips. This means editors need to adapt by learning how to use these new technologies while continuing to focus on the creative aspects, like storytelling and collaborating with directors.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Film and Video Editors
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
Today’s video editors use computers for almost all their work [1]. In practice, AI can already do many of the routine tasks on the list. For example, modern editing software can automatically trim and arrange clips.
Adobe’s new Firefly video editor (in public beta) lets users literally type commands to “shorten, trim, and rearrange” interview clips [2]. In other words, software can detect scene boundaries, mark start/end frames, and even suggest rough cuts for the editor to review. At the same time, BLS notes that editors “organize digital footage with video-editing software” and “collaborate with a director to determine the overall vision” [1].
This highlights the mix: AI tools handle the mechanical tasks (sorting clips, syncing sound, checking time codes) but the creative heart of editing – working with directors, shaping story rhythm and drama – still needs a human touch.

AI in the real world
Will studios rush to use AI for editing? Several factors will guide adoption. On one hand, good AI video tools are now commercially available – big companies like Adobe are adding AI features (e.g. auto-upscaling video to 4K) into mainstream editors [2].
Automation can save time, which is enticing given that video editors are skilled and relatively well-paid (median about \$71K/year [1]). Using AI on simple tasks (captioning, color-matching, logging takes, rough cuts) can speed up production and cut costs. On the other hand, true filmmaking is highly collaborative and artistic, so many directors and unions prefer a cautious approach.
The BLS actually projects about 3% growth in editing jobs by 2034 [1], suggesting continued demand. In short, AI is likely to be adopted gradually: as a helpful assistant that handles tedious work, while human editors continue to make the final storytelling choices.

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Median Wage
$70,980
Jobs (2024)
43,500
Growth (2024-34)
+4.0%
Annual Openings
3,600
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Conduct film screenings for directors and members of production staffs.
Estimate how long audiences watching comedies will laugh at each gag line or situation to space scenes appropriately.
Program computerized graphic effects.
Discuss the sound requirements of pictures with sound effects editors.
Trim film segments to specified lengths and reassemble segments in sequences that present stories with maximum effect.
Collaborate with music editors to select appropriate passages of music and develop production scores.
Develop post-production models for films.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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