Film and Video Editors
Film and Video Editors — AI exposure, safer roles, and a pivot plan.
Also known as: Editor · Film Editor · News Editor · Cue Selector · Movie Editor · News Video Editor
This score estimates how exposed the tasks in a role are to current and near-term AI capabilities. It does not predict whether a specific person will lose a job.
Most exposed tasks
Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.
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Record needed sounds or obtain them from sound effects libraries.73
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Conduct film screenings for directors and members of production staffs.73
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Verify key numbers and time codes on materials.69
Augmentable tasks
Work where AI assists rather than replaces — the productivity frontier of this role.
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Confer with producers and directors concerning layout or editing approaches needed to increase dramatic or entertainment value of productions.58
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Set up and operate computer editing systems, electronic titling systems, video switching equipment, and digital video effects units to produce a final product.57
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Organize and string together raw footage into a continuous whole according to scripts or the instructions of directors and producers.55
Most durable tasks
Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.
The current data release does not distinguish durable tasks for this role.
Task exposure values and classifications come from the versioned data release — they are structured data, not model output. Bars show exposure contribution relative to this role’s task mix.
What this means
A score of 56 puts Film and Video Editors in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 3 of 20 analyzed tasks lean automatable, 17 augmentable, and 0 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.
One next move: audit how much of your week sits in the exposed tasks above — then shift time toward the durable set or investigate the adjacent roles below.
Lower-exposure adjacent roles
No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.
Labor-market context
- $75,420median wage
- 25,610employed
- 3,600annual openings
- +3.9%projected growth
Context only — labor statistics are not inputs to the exposure score. See methodology.
Your week probably doesn’t match the average
This page scores the occupation. The $9 Personalized Risk & Action Report scores your task mix — paste what you actually do and get your own score, confidence level, task matrix, human moat, and a 7/30/90-day plan.
Personalize my result — $9Related roles
Adjacent by skills or family — no exposure claim implied.
FAQ — Film and Video Editors
- What does a score of 56 mean for a Film and Video Editors?
- It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 56 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.
- Which tasks in this role are most exposed to AI?
- The highest-exposure tasks are: Record needed sounds or obtain them from sound effects libraries; Conduct film screenings for directors and members of production staffs; Verify key numbers and time codes on materials. Exposure is scored per task from structured data, not generated by a language model.
- Which parts of this job are most durable?
- The current data release does not distinguish durable tasks for this role.
- Is this score personalized to me?
- No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.
Score version jr-v1 · data release 2026.07.11-r1 · updated 2026-07-11 · baseline mapping: 20 of 20 tasks carry source-level provenance · methodology