AI can produce a first version of a presentation, report or diagram quickly. When the work still has to pass between people or their agents, the next person needs more than a finished-looking output. They need to be able to change it.
A presentation that looked finished
I ran into this while collaborating on a presentation created with AI. The slides looked complete but then I tried to edit them.
Each slide had been rendered as one image, including the text. I could point out a problem, but I could not correct a sentence, move an element or adjust the hierarchy.
The slide had to be regenerated or rebuilt.
AI had saved time at the beginning and pushed some of that work into the next iteration. The deck was presentable, but it was not a useful working file.
The format carries a collaboration decision
A flattened image can be the right final output. It works for a concept, an export or something nobody expects to modify.
It becomes a problem while decisions are still changing.
Most revisions are small: change a sentence, question a number, move an element. When the source structure has disappeared, neither a colleague nor their agent can make those changes directly.
For work that will be reviewed or reused, text should remain text, charts should retain their data, and components should remain editable. A flattened export can still be useful, as long as the next person also has access to a source file they can open and edit.
The tools can change. What matters is that the next person can pick up the work without rebuilding it first.
When AI-generated work enters a collaboration, editability is part of the deliverable.
