Marketing teams are the largest group of people using generative AI daily and the least likely to have read the EU AI Act. The good news: almost nothing marketing does is high-risk. The bad news: the obligations that do apply - Article 50 content marking and deepfake disclosure - apply from 2 August 2026 for disclosure and from 2 December 2026 for marking, and they attach to exactly the workflows agencies run every day.
If you put real people's likeness or voices into campaigns, disclosure is live law now. Machine-readable marking of generated media follows on 2 December 2026. Neither is a 2027 problem.
The four things that actually apply
| What you do | What attaches | When |
|---|---|---|
| AI-generated images, video, audio in campaigns | Article 50(2) - machine-readable marking of synthetic content | 2 Dec 2026 |
| Deepfakes - a real person's likeness or voice | Article 50(4) - disclose it is artificially generated or manipulated | Now |
| Chatbot or AI assistant on the site | Article 50(1) - say it's an AI at first contact | Now |
| Staff using AI tools daily | Article 4 - recorded AI literacy | Now |
| Audience segmentation, lookalikes, media mix modelling | Minimal risk - GDPR is your real constraint | - |
| Emotion detection on shoppers or viewers | Article 50(3) disclosure - and Article 5 if it's staff | Now |
The deepfake rule, plainly
Article 50(4) requires deployers who generate or manipulate image, audio or video constituting a deepfake to disclose that it is artificially generated. There are narrow carve-outs for evidently artistic, creative, satirical or fictional work - but the disclosure obligation is adapted rather than removed, and "it's an ad" is not one of the exemptions.
The practical cases that catch agencies:
- A synthetic presenter or AI-generated spokesperson. If it reads as a real person, disclose.
- Voice cloning of a founder, a customer or talent - including "we cloned our own CEO for the intro". Consent covers the personality-rights problem, not the AI Act disclosure.
- AI-generated testimonials or reviews. Beyond Article 50, these run straight into unfair-commercial-practices law. Fabricating customer voices is a different and worse problem than failing to label.
- Restored or "enhanced" footage of a real person that changes what they appear to say or do.
The one to stop today: AI-generated reviews, endorsements or testimonials presented as genuine. That is not an AI Act labelling question - it is deceptive commercial practice, and disclosure does not cure it.
Who owes the marking - you or your tool?
Article 50(2) is a provider duty: whoever puts the generative system on the market marks its output machine-readably. If you generate through Midjourney, OpenAI or Adobe, the marking duty for the raw output generally sits with them, and most now embed provenance metadata.
What you should not assume is that this survives your pipeline. Re-encoding, cropping, compositing in a video editor, or pushing through a social platform routinely strips provenance metadata. Article 50(4) - the deepfake disclosure - is a deployer duty and lands on you regardless of what your tool did. The four duties in full.
Label wording for generated media and deepfakes, with examples: Article 50 disclosure templates.
If you're an agency, this is a client question too
Agencies producing AI content for clients sit awkwardly: you generate, the client publishes. In practice the client is usually the deployer making the disclosure, and you are the one who has to tell them there is something to disclose. Getting that into the statement of work - who marks, who discloses, who keeps the record - is cheaper than arguing about it after a complaint.
It is also becoming a pitch asset. "We label AI-generated assets and can evidence it" is starting to appear in RFPs, particularly from regulated clients in financial services and health.
The 30-minute version
- List where AI generates published media, and check whether provenance metadata survives your export pipeline
- Add a visible label to synthetic media in-channel - not only metadata
- Add the AI disclosure line to any site chatbot
- Stop any AI-generated testimonial or review presented as real
- Run and minute one AI literacy session
- Write down what you checked, and date it
Frequently asked questions
Do I have to label AI-generated marketing content?
Yes, in two ways. Article 50(2) requires providers of generative systems to mark synthetic output in a machine-readable format, and Article 50(4) requires deployers to disclose deepfakes - artificially generated or manipulated image, audio or video. Deepfake disclosure has been enforceable since 2 August 2026; marking applies from 2 December 2026.
Does the deepfake rule apply to adverts?
Yes. The carve-outs in Article 50(4) are for evidently artistic, creative, satirical or fictional work, where the disclosure obligation is adapted rather than removed. Being an advertisement is not an exemption.
Is AI voice cloning of our own CEO allowed?
Consent handles the personality-rights question but not the AI Act one. If the output is a deepfake - a real person's likeness or voice, artificially generated or manipulated - Article 50(4) disclosure applies regardless of who consented.
Does my AI tool handle the content marking for me?
For raw output, usually. Article 50(2) is a provider duty, so it sits with the generative tool, and most now embed provenance metadata. But re-encoding, cropping, compositing or pushing through a social platform routinely strips that metadata - and Article 50(4) deepfake disclosure is a deployer duty that lands on you regardless.
Can we use AI-generated customer reviews or testimonials?
No. Beyond any AI Act labelling question, presenting fabricated customer voices as genuine is a deceptive commercial practice under EU consumer law. Disclosure does not cure it.
Does Article 50 apply to your campaigns?
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Self-assessment, not legal advice. This page and the Reglynn report are a structured self-assessment based on the EU AI Act (Regulation 2024/1689, as amended by the June 2026 Omnibus). They indicate where you likely stand and what to verify with a qualified advisor. Reglynn is not a notified body and issues no certification.
How this was made. Reglynn reports are generated by an AI system built on Anthropic's Claude and delivered automatically. Reglynn is a Limited Risk AI system under Article 50; we disclose AI involvement wherever it occurs, including in our chat assistant. Our own self-assessment.