EU AI Act Article 50 for Marketing: Labelling AI Ads

A marketing team at a UK software company can now produce a product demo with a photorealistic AI presenter, a launch campaign of generated lifestyle imagery and a narrated explainer in an afternoon. If any of that reaches buyers in the European Union, a question that used to belong to legal now lands on the content calendar: which of these assets has to carry a label saying it was made or altered by AI, and what does that label have to look like?

Since 2 August 2026 the answer has had a legal basis. Article 50 of the EU AI Act places transparency duties on the businesses that build generative tools and on the businesses that use them, and in the space of about six weeks over the summer the European Commission published the material that turns those duties into practice: the final Code of Practice on marking and labelling AI-generated content on 10 June 2026, its own adequacy opinion on 8 July, and guidelines on the Article 50 transparency obligations dated 20 July 2026. The guidelines are concrete about advertising, and that is what this post works through.

This guide is written for a Head of Marketing or a marketing operations lead at a SaaS or technology company. It covers the deployer side of Article 50(4): when a marketing asset counts as a deep fake, when ad copy is caught, what the EU icon and its placement rules require, and what a proportionate internal process looks like. It deliberately cedes three neighbouring questions. The provider duty to mark outputs in a machine-readable way, and the watermarking detail behind it, is covered in our post on Article 50(2) synthetic content marking. The UK advertising rules for AI content are summarised in our promptless AI content creation guide. Chatbot and voice agent disclosure under Article 50(1) is covered in the voice AI disclosure guide.

This guide is shipped by the team behind DILR Studio, a promptless AI content creation platform where every asset is versioned and traceable back to the brief that produced it. Or see DATS, our five-stage consulting system for placing AI inside regulated workflows.

What does EU AI Act Article 50 require from marketing teams?

EU AI Act Article 50 requires a marketing team that uses an AI system to generate or manipulate image, audio or video content constituting a deep fake to disclose that the content is artificially generated or manipulated. It also covers AI text published to inform the public on matters of public interest. The disclosure must be clear and distinguishable at the latest at first exposure, and it has applied since 2 August 2026.

The article contains four separate duties, and only one of them is normally a marketing team's problem. Article 50(1) requires providers of systems that talk directly to people, such as chatbots, to make that interaction known. Article 50(2) requires providers of generative systems to mark outputs in a machine-readable format so they can be detected. Article 50(3) covers emotion recognition and biometric categorisation. Article 50(4) is the deployer duty: label deep fakes, and label certain published text. Article 50(5) then sets the manner and timing for all of them. The Commission's Code of Practice page confirms the obligations apply from 2 August 2026.

The legal definition doing the work is Article 3(60). A deep fake under the AI Act is AI-generated or manipulated image, audio or video content that resembles existing persons, objects, places, entities or events and would falsely appear to a person to be authentic or truthful. Two conditions, then: resemblance to something real, and a capacity to mislead. Most of the practical judgement in this post is about those two conditions.

One date causes confusion. The Digital Omnibus gave providers of generative systems already on the market before 2 August 2026 until 2 December 2026 to implement technical marking. As Jones Walker's analysis of the Omnibus notes, that grace period is narrow: it covers the provider marking duty for legacy systems and does not postpone the deployer labelling duty. Our summary of what the Omnibus changed covers the high-risk dates it moved. If your team publishes a deep fake to an EU audience today, the label is due today.

Is a UK company caught by Article 50 when it markets into the EU?

A UK company is caught by Article 50(4) when it acts as the deployer of the AI system and directs or authorises distribution of the output in the European Union, which the Commission's guidelines say includes posting content on the globally accessible internet. A UK team is not bound where content reaches EU audiences only through unforeseeable channels outside its control. Purely UK distribution sits outside the Act.

The guidelines give an example that maps directly onto marketing: a company established outside the EU that uses an AI system to generate a deep fake of a celebrity featured in an advertisement displayed in the Union is a deployer within scope. For a SaaS business selling into Germany, the Netherlands or the Nordics, that means the EU-targeted landing page, the LinkedIn campaign aimed at EU job titles and the demo video embedded in an EU outbound sequence are all in scope if they contain a deep fake.

The second scoping question is who the deployer is. The guidelines treat the deployer as the legal person under whose authority the system is used, for example an advertising company. Individual employees acting under that company's instructions, the designers, animators and content creators, are not separate deployers, and using freelancers or contractors on the company's behalf does not move deployer status away from it. The guidelines also give a useful negative: a company that merely commissions an agency to produce an advert, without deciding or controlling whether and how the agency uses AI, is not the deployer. The agency is.

That last point matters for how a marketing team buys creative. In our reading, if your brief specifies AI-generated presenters, or your team approves which shots are synthetic, you are exercising the kind of control the guidelines describe, and the duty is likely to sit with you as well as the agency. Write the labelling responsibility into the statement of work either way, and if the split is unclear, talk to our team before the campaign rather than after it. Our AI operating model work usually starts by mapping exactly these role boundaries across marketing, legal and agencies.

The UK position runs on different rails. There is no UK statute requiring an AI label on marketing content. The Advertising Standards Authority's approach is that its code is media-neutral, and its 2023 CAP guidance on generative AI warned that AI-generated images used to make efficacy claims could mislead if they do not accurately reflect the product. A UK team therefore runs two tests on the same asset: the EU label test where the asset reaches the Union, and the UK misleading-advertising test everywhere.

Which AI-generated marketing assets count as deep fakes?

An AI-generated marketing asset counts as a deep fake under the AI Act when it realistically resembles a real or plausibly real person, object, place, entity or event and would falsely appear authentic to the audience. The Commission's 20 July 2026 guidelines say realistic AI-generated human avatars and personas count as persons. Clearly unrealistic content, such as animals talking or physics-defying scenes with no potential to mislead, falls outside the definition.

The guidelines contain a set of examples that map closely onto marketing work. On the in-scope side they list an AI depiction of a celebrity influencer in an advertising or promotional context, a realistic synthetic avatar of a company chief executive addressing staff, and an AI-generated product image in advertising or packaging that could mislead the audience about the product's actual appearance, characteristics or use. On the out-of-scope side they list AI-generated mice arguing about cheese in a cheese manufacturer's campaign, and a real product, a car in their example, shown against an AI-generated background, provided the advert does not mislead about the product.

The treatment of avatars is the point a SaaS marketing team needs to absorb. The guidelines read "existing" broadly: a simulated person who plausibly could exist counts, because such content can deceive as effectively as a likeness of a real individual. In our reading, a photorealistic presenter generated by a tool such as Synthesia or HeyGen, delivering a product walkthrough in a way a viewer would take for a human recording, therefore sits inside the definition unless the context makes its artificial nature evident. A cartoon mascot does not.

The guidelines also describe a band of minor edits that are unlikely to change how authentic an advert appears: colour correction, background extension, aesthetic background replacement, product composition and re-scaling in product advertising. That is helpful, but it is a judgement about impact, not a blanket exemption. A background swap that implies your software is used by a recognisable bank, or a composite that makes a dashboard look more capable than it is, moves back towards the misleading side, which is the kind of call an AI execution office should own rather than an individual designer.

The last row deserves a word. Article 50(4) covers audio as well as images and video, and a cloned voice of a real person is squarely within it, alongside the consent questions our voice cloning consent guide works through. A generic synthetic narrator is a closer call that turns on whether listeners would take it for a recorded human.

Does AI-written ad copy need an AI label under Article 50?

AI-written ad copy does not normally need an AI label under Article 50. The text duty in Article 50(4) applies only to text published to inform the public on matters of public interest, and the Commission's guidelines list AI text in an advertisement or product description as outside it. The exception is copy carrying claims about matters such as health, consumer safety or sustainability, which can bring it back into scope.

Even inside scope, the text duty has its own escape route. The statute disapplies it where the AI-generated text has undergone human review or editorial control and a natural or legal person holds editorial responsibility for publication. For a marketing function the practical reading is straightforward: campaign copy, landing pages and product descriptions are usually outside the duty, while an AI-drafted sustainability report, a published market commentary or a health-adjacent claim deserves a named editor and a recorded review step, the same human-in-the-loop principle set out in our guide to promptless content for brand teams.

Section 2 of the Code turns that editorial route into something checkable. Signatories that are not media service providers already working under editorial standards commit to appropriate policies that name the person with editorial responsibility, with name, role and contact details, and describes the organisational measures and people allocated to review before publication. The Code is explicit that this does not mean documenting every individual review. For most marketing teams that is a one-page policy and a named owner, which is a reasonable price for keeping thought-leadership text out of the labelling regime. If you want help standing up a review gate of this kind, our AI execution office is one route.

How should a marketing team use the EU AI icon and place labels?

A marketing team labels a deep fake under the Code of Practice by using the EU icon, or an equivalent label built around the capitalised acronym AI, placed where no overlay obscures it and visible at first exposure. Video needs the label at the start and, where possible, at intervals and after ad breaks. Audio-only content needs a short spoken disclaimer at the beginning. The icon is optional; labelling is not.

The Commission was blunt about that distinction on its EU icons page:

"The use of these EU icons is optional, but the labelling requirements under Article 50 AI Act are not."

Annex 1 of the Code provides three main icons: one for fully AI-generated content, one for partially AI-modified content, and a basic icon that can carry a custom text label or an interactive second layer. Each comes in four variations, black, white and the two at 50% transparency. The Commission's user testing found that variants pairing the icon with a text label such as "modified" performed significantly better on noticeability and clarity, so the practical default for a campaign is the icon plus a word, not the bare mark.

The placement rules in Section 2 of the Code are where most of the operational work sits:

• Images and video frames. The label goes where no other overlay element intervenes, with the top right corner given as the example, and stays visible against any background.
• Video. Show it at the start of the video and, where possible, at regular intervals and at minimum after interruptions such as advertising breaks, because viewers join late and clips get shared. The guidelines make the same point: if people foreseeably miss the beginning, a label only at the start is not enough.
• Audio-only. A short audible disclaimer in plain language at the beginning, with reminders for long-form content, and a visual label as well whenever a screen is present.
• Published text in scope. Above the text, near the headline or in the colophon.
• Internal content. Where a deep fake is used only in a closed professional setting, for example a synthetic chief executive in a staff update, the disclosure can sit in the interface before exposure.
• Downstream use. The label is embedded directly in the content unless an equivalent such as an interface overlay is available, and the Commission's icons page summarises the aim plainly: the icon must stay visible when content is reshared or downloaded.

Accessibility is part of the requirement, not a courtesy. Article 50(5) requires the information to conform to applicable accessibility requirements, and the Code points to alt text or ARIA labels, high contrast, and detectability by assistive technology. A label that a screen reader cannot announce is a gap a market surveillance authority could reasonably find, which is why AI operating model consulting usually puts the accessibility check inside the same release gate as the label.

Can an advert rely on the creative or artistic work exception?

An advert can rely on the Article 50(4) creative or artistic work exception only when the content is evidently artistic, creative, satirical or fictional to the audience, and even then the deep fake must still be disclosed in an appropriate manner. The Commission's guidelines say content that is exclusively commercial and recognisable as such falls outside this lighter regime, and that adverts qualify only in specific situations, case by case.

The statutory wording is precise about what the exception gives. Where content forms part of an evidently artistic, creative, satirical, fictional or analogous work, the obligation is limited to disclosing the existence of generated or manipulated content in an appropriate manner that does not hamper the display or enjoyment of the work. It changes how you disclose, not whether. Under Commitment 3 of the Code, that typically means a label in accompanying notes, a description or the credits, or an icon adjacent to the frame in a digital interface.

The guidelines interpret "evidently" strictly. Their examples of deep fakes that do not qualify are close to home for a growth team: a teleshopping-style video in which simulated people demonstrate a product to persuade viewers to buy it, and a realistic synthetic influencer testing a sponsored product in a video focused solely on showing what the product does. The guidelines accept that some adverts may qualify as evidently creative or fictional in specific situations and not in others, and that where a piece mixes informative and creative character, the informative character prevails. A surreal brand film with an obviously fictional premise has a reasonable argument. A demo, a testimonial or a product comparison does not.

The safe operating rule for a marketing team is to treat the exception as a placement option for genuinely fictional brand work, decided case by case and written down, never as a default for campaign content. Article 50 duties sit in the fine tier of Article 99(4), up to 15 million euros or 3% of worldwide annual turnover, whichever is higher, with the lower of the two applying to SMEs. At that level of exposure, a written rationale for every exception claimed is cheap insurance.

Should a marketing team sign the Code of Practice?

A marketing team should consider signing Section 2 of the Code of Practice when it regularly publishes deep fakes to EU audiences, because signatories can rely on the Code's measures to demonstrate compliance with Article 50(4) and (5). Teams that comply by other means must show their measures are adequate case by case. Signing is voluntary, and adherence is not conclusive evidence of compliance.

The status of the Code is settled. The Commission concluded on 8 July 2026 that it adequately covers Articles 50(2), (4) and (5), and the AI Board adopted its own adequacy assessment the following day, as recorded in the Commission opinion on the Code. The Commission's position is that signatories gain a predictable, EU-wide route, while non-signatories face individual assessment by different market surveillance authorities. By the end of July 2026, about 190 organisations had signed, and the Commission reported that about half were small and recent companies.

Signing is a commitment, not a badge. The Code uses "will" for measures that market surveillance authorities monitor, and Section 2 includes several that bind day-to-day work: a documented internal compliance process with representative real examples of how disclosures are applied, awareness measures for staff and external contractors involved in labelling, and review and remediation of substantiated reports of missing or wrong labels without undue delay, with a flagging channel for third parties encouraged rather than required. The Commission's icons page also notes that use of the EU icon by non-signatories should not be read as adherence to the Code.

For a team producing a handful of deep fakes a year, implementing the Code's measures without signing may be the proportionate route, provided the reasoning is recorded. For a team producing synthetic presenters at volume, signing buys legal certainty that is hard to reproduce alone. Either way the work is the same: classify, label, place, record. The awareness duty overlaps with the AI literacy measures in our Article 4 guide, and a short AI placement diagnostic is often the fastest way to see where synthetic content already sits in a marketing stack.

What is the best way to manage AI content labelling in 2026?

The best way to manage AI content labelling in 2026 is to make the deep fake decision at the brief, not at publication: classify each planned asset, record whether it needs an Article 50(4) label, and keep a version history that ties every published asset back to the decision. Tools differ on how much of this they hold. No single platform removes the deployer's own judgement.

Criteria matter more than brand names here. Ask four questions of any content tool your team uses. Does it keep a version history for every asset, so you can show what was generated and when? Can you trace a published asset back to the brief and the person who approved it? Does the provider apply machine-readable marking to outputs, which is its own Article 50(2) duty and not something you can add later? And does the workflow give you a place to record the labelling decision next to the asset?

Avatar video tools such as Synthesia and HeyGen are the natural choice when a realistic presenter is the point of the asset, and teams that already rely on them should keep doing so; the labelling duty then attaches to the output, whichever tool produced it. Generalist writing tools such as Jasper or Writer suit copy-heavy teams whose output mostly falls outside the text duty. Design suites such as Canva will often be the right home for imagery that stays well inside the minor-edit band. Where a team wants many formats from one brief with each asset versioned and traceable, a promptless platform fits that pattern. Our comparison of promptless AI content generators sets out the modality coverage side by side.

Where DILR Studio fits, said plainly: the live product page describes five engines generating text, images, video, music and narration from a single brief, brand rules enforced across every engine, and every asset versioned with full history, comparison and rollback, traceable back to the brief that produced it. That is record-keeping, and it supports the documentation Commitment 2 asks for. The page does not state that DILR Studio applies the EU icon, machine-readable marking or content credentials, and it does not claim Code signatory status, so the labelling decision and the label itself remain your team's work. For brand-safety controls more broadly, see what DILR Studio is and how it works.

The same diagnostic approach runs through our DATS methodology, which places AI controls inside the workflow that produces the risk rather than bolting them on at the end.

Do UK marketing teams need to label AI-generated content?

UK marketing teams have no general UK legal duty to label AI-generated content, but they must label deep fakes under EU AI Act Article 50(4) when they direct or authorise distribution of that content in the EU, including on the open web. Separately, UK advertising rules still prohibit misleading content however it was made, so an unlabelled synthetic product image can breach the UK code where it misleads.

For a SaaS company selling across both markets, the simplest policy is a single standard: apply the EU label wherever an asset could reach EU buyers, which in practice is most web and social content, and run the UK misleading-advertising check on everything. Two standards for one asset library tend to collapse into none. The AI for SaaS and tech guide covers where AI pays across the rest of the business.

Does the provider's watermark satisfy the marketing team's label?

A provider's watermark does not satisfy a marketing team's labelling duty. Under EU AI Act Article 50, machine-readable marking is the provider's obligation under Article 50(2) and exists so content can be detected by machines. The deployer's Article 50(4) duty is a visible or audible disclosure that people perceive at first exposure. A deep fake needs both: the tool's mark and the publisher's label.

The two duties are complementary, and the Code splits them into its Section 1 for providers and Section 2 for deployers. Provenance standards such as those developed by C2PA sit on the marking side. The marking detail, including what robustness means for audio, is covered in our Article 50(2) post, and the earlier draft-guidelines checklist in our Article 50 guidelines post shows how the provider and deployer split was first framed.

Want to put this into practice? Read our promptless AI content guide, book an AI placement diagnostic, or see our AI solutions for placing AI controls inside enterprise workflows. More regulatory guides sit in the compliance archive.

Written by the Dilr.ai engineering team, practitioners who ship enterprise AI in production. Follow us on LinkedIn for shipping notes, or subscribe via the RSS feed.