Occupation score change
IMPACT 10video editor exposure decreased 1.0 points
AI Exposure Score moved from a previous calculation to 49/100 under methodology v1.0. 5 evidence item(s) contributed.
49/100
decreased by +1.0 vs last
Moderate exposure
3 Oct 2026
19 hours ago · sources: BLS OES (approx) · O*NET
5 sources
13 core tasks shown · 9 secondary hidden
Film and Video Editors Moderate exposure: only 2 of 13 core tasks show high task automation potential : exposure 49/100 (moderate exposure).
4 models with published evidence against this job. Strongest: Claude Opus 5.5 (95/100 capability).
Score breakdown
Why this score?
Every component is stored with the score row and can be recomputed from the evidence table.
AI Exposure (composite)49/100
Methodology 2026-09-a · score v1.0 · input hash 7fa10b17935a45f8
AI capability exposure74/100
Strength of current models on the capabilities this job's tasks require.
Task automation potential66/100
Task-level exposure, weighted by task importance. A component of the headline, not the headline itself.
Observed AI adoption0/100
Evidence that AI is actually being used for this work.
Labour-market signal0/100
Observed changes in postings, employment or earnings.
Evidence strength71/100
Quantity and source quality of the evidence behind the score.
5 evidence item(s) contribute. Calculated 19 hours ago. 3 Oct 2026 UTC.
Overview
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.
Employment
≈90,000
approx. BLS OES
Median wage
≈$65,000
approx. BLS OES
Tasks tracked
22
linked to this occupation
Employment and wage values are approximate reference figures from the BLS Occupational Employment and Wage Statistics programme, stored with an approximation flag. Verify against the O*NET record and BLS before quoting them.
Tasks
Task-level automation exposure
Core tasks only. Exposure describes how much of the task output current AI can produce or substantially assist - not whether the task disappears. Secondary shared-baseline edges are hidden until per-occupation curation is complete.
core task · importance 4.7/5
core task · importance 4.6/5
core task · importance 4.6/5
core task · importance 4.6/5
core task · importance 4.5/5
core task · importance 4.4/5
core task · importance 4.4/5
core task · importance 4.4/5
core task · importance 4.2/5
core task · importance 4.1/5
core task · importance 4.1/5
core task · importance 4/5
core task · importance 3.8/5
Killers
Which models affect this job most
Ranked by strongest demonstrated capability. Task and evidence counts come from the attributed evidence trail below.
- 01Claude Opus 5.595/100
Anthropic · 2 evidence items · takes: Motion graphics, Video editing
- 02Whisper large-v392/100
OpenAI · 1 evidence item
- 03Veo 388/100
Google DeepMind · 1 evidence item
- 04Sora84/100
OpenAI · 1 evidence item
Evidence
Evidence trail
5 attributed item(s). Confidence reflects study design: randomised and production deployments score higher than platform observations, which score higher than projections.
- model releaseincreasesconfidence 94/100 · magnitude 886 Nov 2023
Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.
The clearest direct capability match in this index: manual transcription and captioning are technically substitutable today. Adoption is therefore the binding constraint, not capability.
Source: OpenAI via Hugging Face Hub · Updated 6 Nov 2023
- model releaseincreasesconfidence 88/100 · magnitude 529 Dec 2024
Sora made short text-to-video generation publicly available, followed by competing systems with synchronised audio in 2025.
Applies to short-form motion production. It does not currently replace shooting, interviewing, or long-form post-production, which is why video-editing exposure is moderate rather than extreme.
Source: OpenAI · Updated 9 Dec 2024
- model releaseincreasesconfidence 86/100 · magnitude 4820 May 2025
Veo 3 generates video clips with matching speech and sound, removing a separate audio post-production step for short-form content.
Narrows the gap for social and advertising formats. Commercial and broadcast post-production remains largely unaffected.
Source: Google DeepMind · Updated 20 May 2025
- model releaseincreasesconfidence 72/100 · magnitude 3422 Sept 2026
Claude Opus 5.5 writes production code that renders motion-graphics video (programmatic animation), collapsing the footage-to-code workflow for short-form motion design.
Verified strength is agentic coding (Terminal-Bench 4.0 66.4%, SWE-bench Pro 89.9%, Sep 2026); applied to code-driven animation pipelines it directly substitutes motion-graphics scripting work. Native diffusion video generation is not claimed.
Source: Anthropic · Updated 22 Sept 2026
- model releaseincreasesconfidence 66/100 · magnitude 2622 Sept 2026
Claude Opus 5.5 automates editing-adjacent scripting — timeline assembly code, batch captioning pipelines and render automation — around video editing workflows.
Agentic coding leadership applied to editing automation scripts and batch media pipelines; full creative edit judgment remains human.
Source: Anthropic · Updated 22 Sept 2026
Historical trend
Exposure over time
Backcast series: recomputed at quarterly checkpoints using only the models and evidence published by each date.
Reconstruction, not measurement. 5 observed daily snapshot(s) exist for this occupation; the earlier part of the curve is derived by applying the current methodology to the model releases and published evidence available at each past date.
Recent events
Signals affecting this occupation
- Occupation score changeIMPACT 80
video editor exposure increased 8.0 points
AI Exposure Score moved from a previous calculation to 39/100 under methodology v1.0. 5 evidence item(s) contributed.
- New modelIMPACT 42
Anthropic releases Claude Opus 5.5 — leads agentic coding benchmarks
Claude Opus 5.5 (Sep 22, 2026) leads Terminal-Bench 4.0 (66.4%), FrontierCode (54.4%) and SWE-bench Pro (89.9%) at 40% lower cost than Opus 5, with programmatic visual generation including code-driven motion graphics.
- New modelIMPACT 48
Video generation with synchronised audio and dialogue
Veo 3 generates video clips with matching speech and sound, removing a separate audio post-production step for short-form content.
- New modelIMPACT 52
Text-to-video generation became commercially available
Sora made short text-to-video generation publicly available, followed by competing systems with synchronised audio in 2025.
- New modelIMPACT 88
Whisper large-v3 made accurate transcription freely self-hostable
Whisper large-v3 provides open-weight multilingual speech recognition, allowing transcription to be run at scale for the cost of compute alone.
Related
Related Occupations
Occupations sharing major SOC group (27) with Film and Video Editors.
faq
Frequently Asked Questions
Common questions regarding Film and Video Editors and AI exposure.
Will AI replace Film and Video Editors?
Current AI models show an exposure score of 49/100 for Film and Video Editors. This measures technical capability to assist or automate specific tasks rather than predicted immediate job loss. Moderate exposure reflects assistance in routine information-handling while core responsibilities require human judgment.
Which tasks in Film and Video Editors have the highest AI exposure?
The most exposed tasks for Film and Video Editors include "Verify key numbers and time codes on materials." (95% exposure) and "Study scripts to become familiar with production concepts and requirements." (80% exposure).
What aspects of Film and Video Editors can AI not do yet?
Tasks with the lowest AI exposure for Film and Video Editors include "Supervise and coordinate activities of workers engaged in film editing, assembling, and recording activities." (10% exposure) and "Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors…" (15% exposure). These responsibilities typically require physical dexterity, licensed human accountability, or complex interpersonal navigation.
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Notice: All ratings shown are AI-estimated technical exposure scores measuring technical capabilities across O*NET task statements, not predicted job loss. Contains information from O*NET 31.0 by the U.S. Department of Labor, ETA, used under CC BY 4.0.