AI-Assisted Editing, and Why Editors Stay | Catch Lyt
AI and Innovation 5 min read
The Quiet Rise of AI-Assisted Editing (And Why Editors Aren’t Disappearing)
AI-Assisted Editing, and Why Editors Stay | Catch Lyt
The software can now reach a rough cut faster. It still cannot tell you what the film is about.
A few years ago the dramatic version said editing would be one of the first roles to go. The reality has been less catastrophic and more useful.
1. What the tools now do well
Grouping similar shots, rough assemblies from transcripts, dialogue cleanup, suggested cut points. That can shorten the path to a first meaningful version.
2. What they still do not do
Decide what the film is saying. Choose which moment carries weight. Hold a shot longer than the pattern-matcher would like.
3. Treat AI as a fast assistant
Let it organise. Keep taste on structure and rhythm. Speed without a drop in quality only holds if a person owns the final shape.
4. The value shifts
Production companies can offer turnaround more easily. Distinctive judgement becomes the thing to protect.
Learning summary
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Assembly is faster. Meaning is not automatic.
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Transcripts and grouping save hours.
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Someone still decides what the film says.
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Editors who adapt use AI as crew, not replacement.
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Speed is easier to sell now.
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Judgement is the product.
Useful reading
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Cullen Kelly: youtube.com/@CullenKelly
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Film Riot: youtube.com/@FilmRiot
