"AI-powered video editing software" is one label covering four products that do different jobs. Some generate footage from a prompt. Some take a long recording and hand back a cut. Some add AI features inside the traditional editor you already use. And one group does not edit at all, it finds the material you need before editing starts. Which one you should buy depends entirely on which part of your process is slow, so the useful first step is figuring out where your hours actually go.
Tools that generate footage
You write a prompt and get video that did not exist before. This is the category most people picture when they hear AI video, and it is the least relevant to anyone who already has footage.
It works for B-roll you would otherwise license, for abstract backgrounds, and for concepts nobody needs to believe are real. It fails when the video has to be about your actual product, your actual room, or your actual customer. Generated footage also has a consistency problem across shots: matching the same person, the same lighting, and the same space over a two-minute piece is still difficult, which is why most of what ships from these tools is short.
Tools that assemble a cut for you
Feed in a long recording, get back a rough cut or a set of short clips. Under the hood these mostly work from the transcript: they find speech, cut on sentence boundaries, drop the dead air, reframe to whatever aspect ratio you asked for.
They are good at the mechanical work and weak at judgment. The tool does not know that the second answer in the interview is the one worth keeping, so it ranks by proxies like speech density or keyword matches, and you end up reviewing the whole batch anyway. Anyone who has watched an auto-cut remove a two-second pause that was doing real work in the scene knows the trade. Use these when volume matters more than precision.
AI features inside the editor you already have
The traditional editors have absorbed most of the individual AI tricks: editing by deleting text from a transcript, removing filler words, isolating a voice from background noise, cutting a subject out of its background without a green screen, matching color between shots.
This is the highest-return category for most working editors, because it removes specific chores without changing the way you work. It is also the least dramatic. Nothing here decides anything for you. It makes the parts you already knew how to do faster, which is a smaller promise and a much more reliable one.
Finding the right material in the first place
The fourth group is the one that gets left out of comparison articles, because it is not editing software. It sits before the timeline: search across everything you have already shot, described in normal language, returning exact moments instead of a list of files.
This matters because of where the time actually goes. Ask people who cut a lot of footage what their bottleneck is, and the answer is more often the selection pass than the timeline. Deciding which take, which line, which ten seconds out of an hour is the work. Scrubbing to find them is the tax on the work.
Vivu is one of these. It reads what is in your existing footage and returns the exact moments, and it deliberately does not edit or generate anything, because the cut is a decision you should be making. It connects to the storage your material already lives in, so nothing has to be re-uploaded or reorganized into a new folder structure first.
When you do not need any of this
If you finish one video a week from a shoot you personally directed, none of this changes your life much. You know your footage. Your project is small enough to hold in your head, and the editor you already own does everything you need.
The same is true if what you make is highly templated. A weekly show with a fixed structure is a naming convention problem, not an AI problem. Good file names and a consistent bin structure will beat any tool, and they cost nothing per month.
The case where this software starts paying is narrower than the marketing implies: an archive that has outgrown anyone's memory, or an output volume that has outgrown the hours available. One person who stopped hiring an editor and now cuts everything themselves is squarely in the second situation, and the tool that helps them is whichever one attacks the specific hour they lose most.
How to pick
Time one real project. Write down how much of it went to finding and choosing material, how much to the actual cutting, and how much to sourcing footage you did not have. Whichever number is biggest tells you which of the four categories to look at, and the other three are things you can safely ignore for now. Most people guess wrong about their own answer, which is how you end up paying monthly for a generator when the problem was that you could not find the interview from March.