EU AI Act: AI Marketing Images Now Need Labels. Customer Photos Do Not.
Article 50 of the EU AI Act applied from 2 August 2026. Generated marketing images now carry a labelling obligation and penalties up to 3% of worldwide turnover. Customer photographs carry neither.
On 2 August 2026, the transparency obligations in Article 50 of the EU AI Act came into effect. Three weeks later, a large number of brands selling into Europe are running AI-generated marketing imagery with no label on it and no plan to add one.
The rule is not complicated in principle. If you publish synthetic marketing content, you have to disclose that it is synthetic. What has caught brands out is who the obligation falls on, how broadly it applies to ordinary commercial imagery, and the size of the penalty attached.
It also creates a distinction that did not previously exist in law. A generated image now carries a labelling obligation. A photograph taken by a customer does not.
This is not legal advice. The AI Act is new, guidance is still developing, and scope varies by circumstance. Anything material should go to a lawyer. What follows is a practical summary for marketing teams deciding what to do this quarter.
From r/PPC: "The part that actually matters for ad creative specifically: anything AI generated that could pass as a real photo/video gets treated like a deepfake under this, doesn't matter that it's just a product shot or campaign asset, no 'it's just marketing' exemption for images/video like there is for text. Fines up to 15M or 3% of global turnover, worldwide revenue not just EU."
That is a fair summary and it flags the two things brands most often get wrong.
The first is the assumption that marketing creative is somehow outside this because it is obviously commercial rather than deceptive. It is not.
The second is the text comparison, which is worth understanding because it is genuinely asymmetric. The obligation on AI-generated text is narrower: it bites on text published to inform the public on matters of public interest, which does not describe most product copy. The obligation on images and video has no equivalent carve-out for commercial use. So a brand generating ad copy sits in a very different position from a brand generating ad imagery, and plenty of teams assume the looser rule applies to both.
What Article 50 Actually Requires
Two obligations matter for marketing teams, and they land on different parties.
Providers of AI systems must ensure that synthetic audio, image, video and text outputs are marked in a machine-readable format and detectable as artificially generated. That is the tool's job, not yours, and it happens whether or not you do anything.
Deployers must disclose synthetic content they publish. A deployer is anyone using an AI system in the course of business, which means the brand, the agency and the ecommerce store. That obligation is yours.
The practical requirement for commercial imagery is a visible label on the asset itself, apparent on first view. Not a line in your terms and conditions, not a disclosure buried on a policy page.
Content generated before 2 August 2026 does not need retroactive labelling, which is a meaningful relief for brands with large existing libraries.
The Exemption That Does Not Apply to You
Article 50 carves out an exemption for content that is manifestly artistic, creative or satirical. On a first reading, brands often assume marketing creative falls under this.
It does not. Commission guidance is explicit that the exemption does not cover commercial marketing content, product photography or advertising. Those are exactly the categories brands were hoping it covered.
The second exemption is more useful, and it is the one worth understanding properly.
Standard editing is exempt. AI performing an assistive function that does not substantially alter the input data falls outside the obligation. Colour correction, lighting normalisation, resizing, denoising, minor retouching. If the underlying photograph is real and the AI is cleaning it rather than reinventing it, you are not creating a disclosure obligation.
That draws a line that happens to be commercially useful and also just accurate: AI that modifies a real photograph is exempt. AI that generates an image of something that never existed is not.
If you were already thinking about AI in those two categories, the regulation has now formalised the distinction for you.
Who Is In Scope
The assumption that trips brands up is geography.
The AI Act reaches beyond EU-established businesses. If your output is used in the EU, you should assume you may be in scope even if the company sits elsewhere. A US or UK brand shipping to European customers and running localised advertising should not assume it is outside the regime.
Practically, that means a brand with any meaningful European sales needs a position on this, and "we are not an EU company" is not the answer.
Agencies are in scope too, as deployers in their own right. If an agency produces synthetic creative for you, the obligation does not neatly transfer to them and away from you. Both parties should be clear about who is labelling what, in writing.
The Penalty
Non-compliance with the transparency obligations carries fines of up to 15 million euro or 3% of worldwide annual turnover for the preceding financial year, whichever is higher.
Two things worth registering about that figure.
It is turnover, not profit. For most brands the percentage figure is the one that matters.
And it is a ceiling rather than a schedule. Enforcement of a new regime typically starts with the clearest and largest cases, and a small brand mislabelling a product photo is not the first target. That is a reason to be sensible rather than a reason to ignore it, and the reputational cost of being an early example would exceed the fine for most businesses.
What to Do This Quarter
A practical sequence, none of which requires legal input to begin.
Audit what you have. Separate marketing imagery into three groups: real photography, AI-edited real photography, and fully generated content. Only the third group creates an obligation.
Label the third group. A consistent visual cue, applied on the asset, visible on first view. Design it once and apply it everywhere rather than deciding case by case.
Fix your brief with agencies and freelancers. Any creative supplier should now be telling you which assets are synthetic. If your contracts do not require that, they should.
Check your marketplace obligations separately. Etsy, Amazon and Walmart Marketplace have their own AI disclosure policies, which are not the same thing as the AI Act and may bite sooner. Marketplace policy enforcement tends to be faster than regulatory enforcement.
Decide the strategic question. Given that generated imagery now carries a label and an obligation, and that customer photography carries neither, the balance of your content sourcing is worth revisiting on the numbers rather than out of caution.

Why This Changes the Economics of Customer Content
Before August, the argument for customer photography over generated imagery was about performance and credibility. Those arguments held, but they were arguments about degree.
The regulation adds something different. A photograph a customer took of your product is a real photograph of a real thing. There is no synthetic content, so there is no disclosure obligation, no label on the asset, and no compliance question to answer.
Set the two side by side on a product page. One image carries a visible marker telling the shopper it was generated. The other does not, because there is nothing to declare. On a page where the shopper is specifically looking for evidence that the product is real, that is not a small difference.
There is a second-order effect worth anticipating. As labelling becomes normal, unlabelled imagery starts to carry a signal of its own. A brand whose product page has no AI labels anywhere is making a quiet claim about how it operates, without saying anything.
Rights are the mirror image of the same problem, and worth handling with the same discipline. A customer photograph is only usable in advertising if the rights were cleared, which is a solvable problem but not an automatic one.
What Nobody Has Worked Out Yet
Three practical questions are unresolved, and it is worth knowing which parts of this are settled and which are not.
How prominent does a label have to be? The requirement is that disclosure is clear and apparent on first view. What that means for a product page carousel, a story frame that lasts four seconds, or a thumbnail in a feed has not been tested. Brands are choosing their own conventions and will find out later whether they were sufficient.
Where does "substantially alter" end? Colour correction is clearly exempt. A fully generated scene clearly is not. Between them sits a large territory: swapping a background, extending an image, changing a model's clothing, generating a variant colourway from a real photograph. If your position depends on a borderline reading, that is the place to get advice rather than form a view.
How will platforms interpret it? Meta, TikTok and the marketplaces all have their own AI labelling systems, and those do not map neatly onto the Act. It is entirely possible to be compliant with the regulation and still get an asset flagged by a platform, or the reverse. In practice, platform enforcement will reach most brands before a regulator does.
None of this is a reason to wait. The clear cases are clear, and they cover most marketing imagery. Label the fully generated assets, leave the edited photographs alone, and treat the middle ground as a question for your lawyer rather than a reason to do nothing.
How 82DASH Fits
82DASH is a customer content platform built on the premise that a brand should pay its customers rather than creators. It collects rights-cleared photos, videos, feedback and reviews from real customers, and delivers the reward as an Apple Wallet or Google Wallet pass.
Nothing it produces is synthetic. A customer takes a photograph of a real product in a real room, submits it, and the brand receives an image with no AI in the chain and therefore no labelling obligation under Article 50.
The rights side is handled at the same moment. You build a content request naming what you want, and clearance is captured at the point of submission, covering paid ads, email, product pages, social and print. There is a fuller walkthrough of how rights clearance works if you want the mechanics.
Content arrives in a library you can review and tag, which is worth having in place if you are also running an audit of what is synthetic and what is not. Knowing the provenance of every image in your library is about to matter more than it did.
The reward lands as a wallet pass, leaving a direct channel back to the customer, so the second request costs a fraction of the first and the library keeps growing.
Install 82DASH on the Shopify App Store
What Comes Next
The Commission has published a voluntary Code of Practice on Transparency of AI-generated Content. Adherence is not mandatory, but the Commission and the AI Board have indicated it is an adequate route to demonstrating compliance, which makes it worth reading if you are building a policy from scratch.
Guidance will keep developing, and the practical interpretation of "substantially alter" for editing tools is one of the areas most likely to be refined. If your position depends on a borderline reading of that phrase, get advice rather than assuming.
The direction of travel is not in doubt though. Disclosure obligations for synthetic content are arriving across jurisdictions and platforms, not just in the EU, and marketplaces are moving faster than legislators. A brand building its content strategy on generated imagery is building on a foundation that is getting more expensive and more visible, in both senses.
Isabelle Simon is Communications Lead at 82DASH.
This article is a practical summary for marketing teams and is not legal advice.
Frequently Asked Questions
When did the EU AI Act labelling rules come into effect?
The transparency obligations in Article 50 applied from 2 August 2026. Content generated before that date does not need to be labelled retroactively.
Do I have to label AI-generated product images?
If they are fully generated, yes. Commission guidance is explicit that the exemption for artistic or creative works does not cover commercial marketing content, product photography or advertising. The label should be visible on the asset itself, apparent on first view.
Is AI-edited photography exempt from labelling?
Generally yes. AI performing an assistive editing function that does not substantially alter the input, such as colour correction, lighting normalisation, resizing or minor retouching, falls outside the obligation. The distinction is between modifying a real photograph and generating something that never existed.
Does the EU AI Act apply to non-EU brands?
It can. The regime reaches beyond EU-established businesses where output is used in the EU. A brand outside Europe that sells and advertises to European customers should not assume it is out of scope, and should take advice.
Do customer photos need an AI label?
No. A photograph taken by a customer of a real product contains no synthetic content, so no disclosure obligation arises under Article 50. Rights clearance is a separate question and still needs handling if the image is used in advertising.
Further Reading
- EU Artificial Intelligence Act: full text and Article 50 commentary
- European Commission: official transparency guidance and Code of Practice
- FTC: US endorsement and disclosure guidance for comparison
- Bazaarvoice: research on customer photos and product page conversion
- Nielsen: consumer trust across advertising and earned media