AI can save editing time, but speed is not the same as a strong video. The useful question is which decisions are repetitive and which decisions carry the story. A transcript can be generated automatically. Deciding which sentence belongs in the first two seconds still needs an editor who understands the audience.
Start with a brief, not a tool
Write down one viewer, one promise and one action. For example: a busy founder should understand a product benefit and visit the site. Then collect the strongest recorded explanation, supporting shots and a clean ending. If the source material does not make the promise clear, a faster editing tool will only produce a faster confusing video.
Automate the mechanical pass
Transcribe the footage and mark the usable statements. Automatic speech recognition is a first draft: correct names, numbers and jargon before turning it into captions. Adobe's Speech to Text guidance describes this workflow. You can also use automatic silence detection or scene grouping as a starting point, then review every cut against the message.
Edit the decisions by hand
Build a hook that pays off, remove repeated ideas, and make each visual change explain or emphasize something. Read captions on a phone at normal speed. Keep music under the voice and place sound effects only where they clarify a transition or action. A template may suggest a rhythm, but the final rhythm should follow the speaker and subject.
Run a three-part quality check
Watch once with sound, once muted, and once on a small screen. The muted pass exposes weak visual structure; the small-screen pass exposes tiny captions and important content hidden near the edges. Check the export after uploading because the platform may process it differently from your editing preview.
AI belongs in the preparation and review loop. The distinctive part of the edit is still the choice of what the viewer should notice and feel. See Mekdad's editing work for examples of how that choice changes the finished piece.