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On 2 August 2026, labelling AI content stops being a matter of style and becomes law. Anyone producing content professionally with generative AI faces a question nobody had to answer for four years: does this need a label?
There are deadlines you miss without it hurting. And there are deadlines that hit precisely when you assumed they applied to somebody else. 2 August 2026 belongs in the second category.
On that day the central transparency obligations of the EU AI Act — Article 50 in the jargon — become directly applicable. No national implementing law, no discretion, no grace period for the majority. Simply: in force.
And while half the industry has been breathing a sigh of relief for months because the Digital Omnibus pushed the strict high-risk obligations back to December 2027, one uncomfortable fact gets overlooked: the very obligation that affects almost everyone was not deferred. Assume the EU AI Act has been “postponed” and you are planning against the odds — and, if it goes wrong, against a fine of up to 15 million euros.
The AI Act came into force back on 1 August 2024. It works like a time lock: different obligations take effect on different dates.
The prohibited practices bit first, the AI literacy obligation followed in February 2025, the rules for large foundation models in August 2025. 2 August 2026 is the date for Article 50 — transparency. And Article 50 is not a single provision but a bundle of four obligations across four paragraphs.
Paragraph 1 requires that people can tell when they are talking to an AI rather than a human — the chatbot rule. Paragraph 2 obliges providers of generative systems to mark their outputs in machine-readable form. Paragraph 3 covers emotion recognition and biometric categorisation. And paragraph 4 — the most interesting one for creatives — requires deepfakes and AI-generated text on matters of public interest to be visibly labelled.
The decisive dividing line: a provider is whoever develops an AI system and places it on the market under their own name. A deployer is whoever uses such a system professionally — you, your agency, your client. The machine-readable marking in paragraph 2 is the provider's job. The visible labelling in paragraph 4 is yours.
The deferral applied to the few. The labelling applies to everyone. Confusing the two is what will get expensive in 2026.
In November 2025 the European Commission put forward the Digital Omnibus — a simplification package that pushes several deadlines back. Council and Parliament reached agreement on 7 May 2026, Parliament voted in favour on 16 June, and the Council gave the final green light on 29 June.
What the Omnibus defers: the full obligations for high-risk AI. Standalone systems under Annex III — candidate selection, creditworthiness, educational assessment, biometric identification — move to 2 December 2027. Systems embedded in products under Annex I move as far as 2 August 2028.
What the Omnibus abolishes: nothing. It moves deadlines; it does not delete obligations. The transparency duties in paragraphs 1, 3 and 4 stay untouched on 2 August 2026. Only the machine-readable marking in paragraph 2 gets a short extension to 2 December 2026 for existing systems — and that concerns providers anyway.
Put differently: the only part of Article 50 that many agencies may safely treat as “later” is precisely the part they are not responsible for. The part they are responsible for applies now.
A fully generated visual running as an ad or a social format, realistic enough to be taken for real — that is a case for labelling. A discreet but legible note is enough: “AI-generated” will do. The same goes for the voice clone in a podcast intro or the video in which real footage was translated with AI lip-sync. Rule of thumb: as soon as an AI creates something new out of a real face, a real voice or real gestures that was never recorded that way, it is a deepfake within the meaning of the regulation.
Here lies the biggest relief — and the biggest misunderstanding. The obligation only bites when two things coincide: the text informs the public about a matter of public interest, and it has not undergone genuine editorial review. Classic advertising copy, product descriptions, a LinkedIn post about your own offering generally do not fall under it. They do not inform on questions of public interest; they sell.
Running for three years without a notice? From August it needs one. Paragraph 1 requires users to be told at the first interaction that they are writing to an AI — unless that is obvious anyway. One sentence is enough. But it has to be there.
Two exemptions matter for our industry, and both are good news.
The first sits directly in the law: for evidently artistic, creative, satirical or fictional works, the labelling duty applies only in a way that does not impair the display or enjoyment of the work. An art campaign does not have to be disfigured with a warning sign. The notice may stay discreet — in the end credits, in the credits line, in an appropriate place.
The second is the editorial exemption for text. Where an AI draft undergoes genuine human review and a person carries editorial responsibility for publication, the labelling duty falls away. Both conditions have to be met — a real review process and clearly assigned responsibility.
The catch: it has to be a real process, not a formal skim. And it has to be demonstrable. Anyone relying on the exemption should document who reviewed and approved, what substantive changes were made and who carries responsibility. The LinkedIn post someone drafts with AI, then reworks, approves and publishes themselves does not need a label. The newsroom article waved through unchecked does.
A label is not a blemish. In 2026, transparency is the better marketing strategy.
Communicate openly about the means you work with and you are currently more likely to be seen as innovative and transparent than as a fraud. Users are more pragmatic than many fear. The real risk is not in the label — it is in being caught without one and looking dishonest afterwards.
Breaches of the transparency obligations can be penalised with up to 15 million euros or 3 per cent of worldwide annual turnover — whichever is higher. For SMEs the lower figure applies, and the Omnibus provides for automatic reductions and, in part, a correction period. But “reduced” is not “irrelevant”. Add German unfair competition law: misleading AI content can attract cease-and-desist letters through competition rules. The risk is not only regulatory — it is also the competitor who notices the missing label.
Panic is the worst adviser, ignorance the second worst. It starts with taking stock: where does AI-generated or AI-manipulated content actually arise? A simple AI inventory is the basis for everything else — you cannot label what you do not know about. Then clarify roles, then the workflow, and finally the contracts: freelancer clauses, CMS documentation, defined label positions for image, audio, video and text.
The voluntary EU code of practice on transparency for AI-generated content, presented in June 2026, is not legally binding but is likely to become the central reference framework for regulators and courts. Follow it and you carry a lighter burden of justification in an inspection.
This whole body of regulation turns on one simple distinction: did a human really think, check and take responsibility here — or did the machine run through on its own? The law forces the industry to answer that question visibly at last. For anyone who always held that AI-first means mediocrity-first, 2 August 2026 is not a bureaucratic scare. It is an invitation to put your own signature back on the label.
We work through where AI content arises, what needs labelling and how to document the editorial exemption properly.























