Search for AI that cuts video and you find two different products sharing one phrase. One kind trims: it detects silence, filler words and scene changes, then hands back a tightened version of the footage you gave it. The other kind assembles: you describe the video you want and it pulls clips out of a library into a sequence. The trimming works, today, on ordinary hardware. The assembling depends on whether the software has any real idea what is inside each clip, and that is where these workflows usually fall over.
The trimming tools
These run on signals a machine can measure directly. Audio level says where the silence is. The transcript says where the "um" is. Frame differences say where the shot changed. Face tracking says what to keep in frame when a wide shot gets cropped to vertical. None of that requires understanding the video, only a waveform and a clock, which is why it is cheap and reliable.
What you get back is a rough cut that is mostly right and wrong in visible places. A pause held for effect gets deleted. A cut lands in the middle of a breath. You fix those in ten minutes. For a talking head recording, a screen capture or a one camera interview, this is a genuine hour saved for very little money.
The assembling tools
Here you type something like "the part where she talks about her father" and expect a sequence. The model doing the assembly is not the hard part of that. The description of your footage is. If every clip in the library carries an auto tag that says "person, indoors, speaking," the assembly is a lottery however good the language model sitting on top of it is. Output quality tracks the index, not the prompt.
Where the hours actually go
Ask someone who cuts long form down to a finished piece where the day went and the answer is rarely the cutting. A wedding filmmaker working alone can spend most of two working days on a ten minute film, and the biggest single block of that is not assembly. It is watching everything once, deciding what belongs, and then finding those moments again when it is time to build the timeline. Marketing teams pulling a segment out of a recorded webinar describe the same shape: the trimming is minutes, the review is the afternoon.
Searching the footage instead of scrubbing it
A separate category of tool exists for exactly that step. Instead of producing an edit, it indexes what you already shot so you can ask for a moment by content and get back the point in the file where it happens. The cost is that nothing gets cut for you and you have to know roughly what you are looking for. The payoff only shows up above a certain volume, because with twenty minutes of footage scrubbing is faster than any setup.
Vivu is one implementation of that layer: it searches inside the footage a team already has, so "the toast where the father stops talking" comes back as a point in a file with the context around it rather than an afternoon of scrubbing. It does not cut and it does not generate anything, so the edit is still yours to make.
When you do not need any of this
If you shot it yourself last week and it is under an hour, you already have the index in your head, and a scrub bar beats every tool listed here. If you deliver one video a month, the time you would spend evaluating tools exceeds the time they would save you this year. If your footage is scripted and you shot to a shot list, the selection problem was already solved on set, and all you need is the trimming category, which costs almost nothing.
Automation is also a bad fit when the good moment is not self contained. Anything where the payoff depends on setup from twenty minutes earlier will get chopped into a clip that makes no sense, and you will spend longer repairing that than you would have spent cutting it by hand.
How to tell which one you need
Take your last project and split the hours into two piles: time spent deciding what goes in, and time spent making the cuts happen. If the second pile is bigger, buy a trimming tool this week and stop reading about this. If the first pile is bigger, an editor with AI in the name will not touch your problem, because the thing you are looking for is not an editor at all. That is the part the phrase hides. Most people searching for AI that cuts video have a selection problem and are shopping in the wrong aisle.