Garon Campbell | Founder | Director | Breadbin Productions | mail me |
Most editors recognise this pattern, even if they rarely call it out directly. The footage arrives, and the first assembly begins. Somewhere during the early cuts, it becomes clear that something is not working as expected. The pacing feels slightly off. The tone does not fully land. Moreover, a scene that looked convincing on paper struggles to hold together on screen.
Nothing is obviously broken. However, the piece as a whole lacks cohesion. At that point, the work shifts into adjustment. Editors tighten, restructure, remove and rework scenes. They do this to shape something coherent from material that never fully aligned. For a long time, the industry accepted this as part of the editing craft. In reality, it is not a creative problem. It is a process problem. More specifically, it is a timing problem. Artificial Intelligence (AI) isn’t replacing editors. Instead, it is helping them address these problems much earlier.
Editing has been happening too late
In most production workflows, alignment does not happen in a single, unified moment. Instead, it happens in stages. Different teams work at different times. Furthermore, each group responds to a slightly different version of the same idea.
Scripts receive approval before teams fully understand the visuals. Teams discuss tone but do not experience it. Decisions also happen sequentially without a shared reference point. As a result, people cannot respond to the same thing in the same way.
By the time footage reaches post-production, many decisions are already fixed. Consequently, editors have a limited scope to make meaningful changes. This is why editors often find themselves solving problems that did not originate in the edit. AI isn’t replacing editors. It is helping production teams identify those problems before they become expensive to fix.
Prompting changes where the work happens
AI does not solve this by producing perfect outputs. That is not where its real value lies. Instead, it makes thinking visible much earlier. It also gives teams something concrete to evaluate before they lock anything in.
A prompt produces an output that is not final. However, it is tangible enough to interrogate. It allows teams to see how an idea plays out. They can also understand how it feels. In addition, they can identify where it holds together and where it starts to break down.
This process immediately exposes gaps. It removes ambiguity and surfaces weak decisions before they become embedded in the production process. Most importantly, all of this happens before production begins.
This forms part of a broader shift across AI-driven workflows. Correction is no longer reserved for post-production. Instead, teams pull it forward into the earliest stages of development.
Editors are no longer waiting at the end
When editors join this earlier stage, their role changes in a meaningful and practical way. They no longer respond only to material that already exists. Instead, they shape it while it remains fluid and open to change.
Their core instincts remain exactly the same. They understand structure, rhythm, pacing, and narrative clarity. They also know what to keep, what to remove, what is missing, and what does not belong. What changes is when they apply those instincts.
Instead of working around decisions, editors influence them. Instead of refining intent after the fact, they help define it from the outset. Because this happens earlier, the result is not only faster but also significantly cleaner. As a result, productions require fewer compromises and far less rework later.
Clarity, not speed, defines the story
AI undeniably accelerates the process. Iterations that once took days can now be explored within hours. Teams can also test multiple creative directions without committing to a shoot. However, speed is not the most important shift taking place. Clarity is.
When teams make ideas visible early and test them before execution, fewer assumptions carry through to production. Consequently, far fewer surprises emerge in post-production. The edit becomes what it was always intended to be: a stage for refinement and strengthening rather than a point of rescue. This is another reason why AI isn’t replacing editors. It is allowing them to contribute where they have the greatest impact.
The role doesn’t disappear. It sharpens
There is a growing perception that prompting may reduce the editor’s role. In practice, the opposite is happening.
As AI introduces more options and variation, the need for judgment becomes more critical, not less. People still determine what works, what resonates and what ultimately feels right. AI can generate endlessly, but it cannot decide. It does not understand pacing in a human sense. Nor can it recognise when something delivers the intended impact.
That responsibility still belongs to the editor. The difference is that editors now exercise that responsibility much earlier in the process. Consequently, they have a completely different influence on what audiences ultimately see.
What’s actually changing
Essentially, editing is being repositioned. For years, it operated at the end of the production process. Editors shaped work that already existed and worked within the constraints of earlier decisions. Now, editing is moving closer to the beginning. As a result, editors can shape what gets created in the first place.
Prompting has not removed the editor. Instead, it has made the editor’s role visible much sooner. That is where the real opportunity lies. It has made editors more central to the creative process than ever before.
