Should manufacturers use AI generated video?

Somebody on your team made a product video with an AI tool in an afternoon. It looks clean. The narrator sounds confident. It cost almost nothing.

So the question is fair: why film anything?

We use AI tools in our own work, so this is not an argument against them. The honest answer is that AI is very good at producing video and very bad at producing proof. Manufacturers mostly need proof.

Where AI helps

Behind the scenes. Transcribing interviews, finding the best take, rough cuts, captions, cleaning up audio, drafting titles and descriptions. This saves real hours and nobody watching can tell.

Things no camera can see. An animation of what happens inside a sealed valve or a mold is honest, as long as it is clearly an animation. Nobody mistakes it for footage.

Planning. A first draft of interview questions or a shot list. A tool does not know your plant, but it gives you something to react to. Most interviews work better unscripted anyway, and here is why we rarely script them.

Translation and versions. Subtitles in Spanish for second shift, or a shorter cut for a trade show screen. More on reaching every shift with one message.

Where it costs you

Fake people. A generated spokesperson or a cloned voice reading your story. Buyers who notice stop trusting everything else on the page.

Fake floors. Generated footage of a plant that is not yours. Your buyer is trying to learn whether you can make their part. A synthetic factory answers nothing. A capabilities video works because it is your actual floor.

Fake proof. A customer who never said it, a test that never ran. That is not a style choice. It is a claim you cannot back up.

AI is very good at producing video. It is very bad at producing proof.

What the platforms make you disclose

YouTube requires creators to disclose realistic content that is altered or synthetic. That includes making a real person appear to say or do something they did not, changing footage of a real event or place, and creating a realistic scene that never happened.

Using AI for production help, like drafting scripts, outlines, thumbnails or titles, does not need a label, and neither do color fixes, captions or upscaling. When a label is needed, it may appear on the video player itself. Disclosure does not limit who sees the video, but a buyer will see it.

Why real footage wins for manufacturers

The strongest line in our film for Shield Security Doors did not come from Shield. It came from a SWAT lieutenant with twenty years of experience, after his team tried hydraulic tools and explosive charges on the doors, saying they were the toughest he had breached. Nobody could generate that and have it mean anything.

When we filmed The Flame Detector, nothing was staged and nothing was rerun for a better result. We built a fire room and ran six common smoke alarms against their detector through five different fires. It beat all six in every test, and some of the six never went off. A rendering of that test would prove nothing. The real one changes minds.

The same goes for customer testimonials. A customer explaining why they stay is only worth something because the customer is real.

That is the pattern. The more a video has to prove, the more it needs to be real. More on proving a claim on camera.

A simple rule

Use AI for anything a buyer would not care about if they knew. Film anything a buyer would feel misled by if they found out it was generated. Your people, your floor, your tests and your customers belong in the second group.

That is also a fair way to think about an in house video person. Let the tools help your team edit faster, and spend the camera time on the things only your building can show.

And if the floor is the part you have never shown, a phone is a fine place to start.