The question is no longer whether AI can generate video. It can. The question is what that video manages to sell, and there the answer changes a lot depending on what you sell.

What AI already handles

  • Clean product images, backgrounds, colour variants.
  • Voiceover and subtitles, now good quality in Spanish.
  • Recuts and format adaptations from existing material.
  • Fast message tests, before investing in production.

What it cannot sell

Experience. A generated video has not used the product, does not have a home, has no reason for having bought it. In categories where the decision rests on trust, meaning supplements, cosmetics, services or children's products, precisely what triggers the purchase is missing.

The disclosure question

Generated content presented as the testimonial of a real person is misleading, and in Europe misleading advertising is a legal problem, not an aesthetic one. The practical rule: if the viewer would feel deceived on discovering the origin, the origin belongs on screen.

How to combine both without losing trust

The model that works today is hybrid: the real creator brings face, voice and product use; AI brings inserts, format variants, subtitles and language versions. Credibility stays human and multiplication becomes cheap. For a Spanish brand that also sells into Latin America, that combination adds the most performance per euro invested.

The deciding criterion

If the video has to show that someone trusts the product, you need someone. If it has to show how it is used or what it is like, AI can do much of the work.

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Frequently asked questions

Does AI replace creators?

Not where trust decides the purchase.

Should AI use be disclosed?

If it could be mistaken for a real person, yes.

Where does it help most?

Inserts, formats, subtitles, tests.

What is the best model today?

Hybrid: human face, automated multiplication.