AI in video marketing: what artificial intelligence actually does well

Artificial intelligence has changed how short-form video gets made faster than almost anything else in marketing. Tools like ChatGPT write scripts in seconds, captions time themselves, and AI presenters can deliver a line on camera without anybody filming. It's easy to read that as “AI makes the videos now”. It doesn't, quite. It makes the slow parts fast, and that's worth understanding properly.

Where AI genuinely helps

The best uses of AI in video marketing have one thing in common: they take a job that was tedious and repeatable, and do it in a fraction of the time, while a person still decides what's good.

• Ideas and scripts: large language models like ChatGPT are good at generating many options quickly, such as ten hooks, five angles or a month of ideas.
• Transcription and captions: speech-to-text turns a take into word-timed captions without anyone typing them.
• Editing: finding filler words, silences and retakes in a transcript and cutting them.
• Formatting: reframing one video for vertical, square and landscape, and keeping text clear of each platform's buttons.
• Translation: captions and voiceovers in other languages, so one video reaches more people.
• Product visuals: removing backgrounds, relighting and placing a product in a new scene.

AI UGC and AI avatars

The newest category is AI-generated UGC: a realistic presenter, generated by AI, speaking a script to camera in the style of a creator video. It's useful for testing many scripts quickly, for explainers, and for brands that need a presenter in several languages.

It also comes with responsibilities. An AI presenter is not a customer, so it should never be presented as a real person's genuine experience with your product. Several platforms, including TikTok, ask for realistic AI-generated content to be labelled, and advertising rules in many countries prohibit fake testimonials. Use AI presenters to explain and demonstrate, and keep reviews and testimonials for real people.

Where people still matter most

• Taste: knowing which of the ten hooks is the one. AI generates; someone has to choose.
• Truth: real experiences, real results and real opinions are what make UGC trustworthy.
• Specifics: the detail only someone who uses the product would notice is usually the best line in the video.
• Judgement: checking claims, avoiding things you can't promise, and knowing your audience.

A simple AI-assisted video workflow

1. Use ChatGPT to brainstorm angles and ten hooks for one product.
2. Pick the three hooks you'd actually say, and rewrite them in your words.
3. Film one take per hook on your phone, or brief a UGC creator.
4. Let AI handle transcription, captions, filler-word cuts and formats.
5. Post, compare how long people watched each version, and keep the winner.

What to avoid

• Posting AI output unedited. Viewers recognise generic scripts quickly.
• Letting AI invent facts, statistics or product claims. Check every one.
• Passing off AI-generated people as real customers.
• Using AI to make more videos rather than better ones. Volume only helps when each video is worth watching.

Used well, artificial intelligence gives small teams the output of a much bigger one. The videos still win or lose on the same things they always have: a hook worth stopping for, a tight edit and something true to say.