AI in advertising: what is possible today and what to watch

By Syntax Motion, Vienna. Updated: 16 October 2026

AI advertising is advertising in which generative AI produces images, video, text or voice, in whole or in part. It makes variants and demanding subjects available faster. At the same time audiences react sensitively to spots that feel artificial. Labelling, rights and brand effect therefore belong in the plan from the start.

General information, not legal advice. Every statement here is checked against the primary sources linked below, as of 9 October 2026. For your project, the contract we sign with you is what counts.

Where AI is used in advertising today

AI in advertising shows up in four places: image, moving image, text, and voice and music. Mostly it takes over single steps of the work rather than a whole campaign. Concept, selection, edit and approval stay with people. The closer a subject sits to reality, the more finishing it needs.

Discipline	What works today	What does not
Still image	worlds, mood, material, product in context	type on packaging, exact logos, hands in close-up
Moving image	short shots, camera moves, atmosphere, b-roll	long takes, consistent faces, precise mechanics
Voice and music	factual narration, many languages, fast changes	emotion, irony, long reads, proper names
Text	drafts, variants, translation	the one idea worth watching

We work with Seedance, Veo, Kling, Google Flow, Seedream, Nano Banana, GPT Image, Seed 1.0, Topaz, Soundly and Artlist. The tools change quickly; what decides the result is direction and finishing. What that looks like for a spot is on our page about AI commercial production.

What actually changes in a campaign

The interesting shift is not cost per film, it is the number of versions a budget allows. When a variant costs hours instead of days, testing becomes possible where previously one film had to carry everything. That is why the clearest gains show up in performance advertising rather than in the one big brand film.

The second shift is timing. Without a shoot day there is no date everyone has to attend, which removes the longest lead time in the schedule. What takes its place is selection and finishing, see post-production. In practice the gains fall into four groups:

Impossible subjects: macro, invented worlds, space or underwater without a set and an effects budget.
Variants for testing: several hooks, formats and language versions of one spot for different channels.
Seasonal adaptation: rebuilding the same spot for Christmas, summer or a trade fair.
Early approval: styleframes show light, colour and mood before budget goes into moving image.

Where it goes wrong

The risks sit in four fields: acceptance by the audience, the labelling duty, rights, and the effect on the brand. None of them is an argument against AI in principle. But each has to be settled before production, not before launch.

Acceptance by the audience

A NielsenIQ study with more than 2,000 participants found that many AI spots are recognised as such. Respondents more often described them as annoying, boring and confusing. Even AI spots perceived as high quality produced weaker memory activation in EEG measurements with around 150 participants (NIQ, 12 December 2024).

How strong the reaction can be is shown by the Christmas spots from Coca-Cola in 2024 and McDonald's Netherlands in 2025. Both are in our AI commercial examples, with sources.

Labelling

The transparency duties in Article 50 of the AI Act, Regulation (EU) 2024/1689, have applied since 2 August 2026. Not all AI content has to be labelled, above all convincing deepfakes do. The Austrian Economic Chamber points out that many questions of detail and interpretation are still open (WKO, as of 31 July 2026).

What that means for your spot is explained in our guide on AI labelling in advertising.

Rights

Purely AI-generated content enjoys no copyright protection, in the view of the German Ministry of Justice (BMJ, FAQ March 2024). On top of that come the terms of the tools and the personality rights of real people. The detail is in the guide on copyright in AI video.

Effect on the brand

AI images tend towards a smooth, interchangeable look. Produce without clear design rules and you get spots that look like the tool rather than like the brand. What helps against that: fixed styleframes, a reference library, and a human approving every shot.

AI advertising in Austria

The same EU rules apply to AI advertising in Austria as in Germany, because the AI Act applies directly in every member state. The differences sit in national copyright law and in enforcement. According to the WKO, no authority has yet been designated in Austria to enforce the AI Act (WKO, as of 31 July 2026).

The WKO also says its professional association for advertising and market communication is preparing its own guidance. Until then it points to the European Commission's guideline and symbols, which are not mandatory. As soon as the guidance appears, we will add it here.

Austrian copyright law protects only "distinctive intellectual creations" (§ 1 UrhG). Here too, what matters is the human share in the spot.

Checklist before the campaign goes out

Before you commission or publish an AI spot, these eight points should be settled. The list does not replace a legal review, but it covers the most common mistakes.

Goal and channel: where does the spot run, in which formats and lengths?
Fit: do real people, real rooms or exactly readable labels have to be seen? Then hybrid or filmed.
Styleframes before production: look, light and characters are approved before any moving image exists.
Labelling: is the spot convincingly real? Who labels it, how and where?
Tools and licences: which tools are used, and do the plans permit commercial use?
Rights in the contract: what exactly do you receive, and who answers third party claims?
Check resemblance: no real people, voices, other brands or characters in frame.
Platform rules: YouTube, Meta and TikTok have their own requirements for realistic AI content.

How Syntax Motion produces AI advertising

We start with a 30 minute first call and say openly there whether your project suits AI. After that come styleframes and the director's treatment, motion tests, approval, production, rough cut and finishing. The process is described in detail.

Our work so far is spec work made without a client brief, for invented brands such as Volt Hydration or Maíz del Sol.

Frequently asked questions

What is AI advertising?

AI advertising is advertising whose images, video, text or voices are produced in whole or in part with generative AI. In practice AI takes over single steps such as image generation or voiceover. Concept, selection, edit and approval stay with people.

Does AI advertising have to be labelled?

Not every AI video has to be labelled. Since 2 August 2026, Article 50 of the AI Act requires disclosure for deepfakes, meaning convincing content showing real or plausibly real people, places or events. YouTube, Meta and TikTok have their own rules on top. For clearly creative or fictional work a restrained note is enough. Details in the guide on AI labelling in advertising.

Is AI advertising cheaper than a conventional shoot?

Often, because shoot days, crew and locations fall away. How big the difference is depends on length, realism and the number of variants. At Syntax Motion a short social spot starts at 1,000 € net and a base film for website and YouTube at 3,500 € net. More on what a commercial costs.

Do audiences accept AI advertising?

Not automatically. A NielsenIQ study from 2024 found that respondents more often perceived AI spots as annoying, boring and confusing. Careful finishing, a fitting occasion and a clear brand signature therefore matter more than the tool.

Sources

Read on: AI commercial examples • UGC video with AI • Avatar video • Who we are

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