Key takeaway
AI's value here is speed to a reviewable draft, never the accuracy of an unreviewed one.
There is a version of "AI for project management" that just means AI writes longer status reports, fancier looking decks, more detailed documentation nobody asked for. That is not actually useful, it just moves the paperwork problem to a different, wordier place. The point of using AI well here is the opposite: less time spent producing documentation, so more time is left for the part of the job that is actually managing the project.
Drafting from what already exists
Most projects already have a source of truth before they reach a PM properly: a proposal, a brief, a slide deck from the sales conversation, a kickoff document someone wrote in a hurry. Reading through that and turning it into a structured scope, milestone list and risk register by hand is pure transcription work. Having AI read the document and produce that first structured draft, for a human to check and correct, removes hours of transcription without removing any of the judgment.
The review step is not optional
None of this works if the draft is trusted blindly. The value of AI here is entirely in how much faster the first draft appears, not in the accuracy of that first draft on its own. A PM who reviews and edits an AI generated scope in ten minutes has saved real time over writing it from scratch. A PM who applies it unread has just introduced a plan nobody actually checked, which is a worse starting point than a blank page.