The AI Act’s transitional regime does not expire on 2 December: what Article 50 actually requires of systems already placed on the market

The date must be verified before it becomes a compliance plan

The premise that the transitional period expires on 2 December 2026 is not supported by the institutional documentation described in the supplied sources. The European Commission places the application of Article 50 transparency obligations from 2 August 2026 and describes a limited exception for certain systems placed on the market before that date. According to that explanation, the exception is not a general extension of the AI Act, nor does it apply equally to all transparency duties.

The distinction matters because an incorrect timetable can lead organisations to postpone controls that are already required. The transitional regime mentioned is confined to the marking and detection of generated or manipulated content required of providers under Article 50(2). By itself, it does not exempt an organisation from informing a person when they are interacting with an AI system, nor does it replace disclosure obligations that may apply to the party publishing certain content.

For that reason, this article does not treat 2 December as a confirmed expiry date. The specific date applicable to existing systems should be checked against the current version of the institutional guidelines and frequently asked questions before it is used in internal policies, public communications, or launch decisions. This text provides an operational reading of the scope described in those sources; it is not legal advice or a complete guide to the AI Act.

The transition described is narrow: it concerns the technical marking of certain outputs

Article 50 separates obligations that are often grouped imprecisely under the phrase “labelling AI content.” For providers of systems intended to interact directly with people, the starting point is that the system must inform the person that they are interacting with AI, unless this is obvious from the circumstances and the context of use. This is an interaction-transparency obligation, not a rule on metadata in an image or text.

For providers of systems capable of generating synthetic audio, image, video, or text content, the paragraph concerning content requires outputs to be marked in a machine-readable format and to enable detection that they have been artificially generated or manipulated. The institutional guidance treats this requirement as a technical feature intended for detection, rather than merely the presence of a visible on-screen label.

The transitional exception identified by the Commission is limited to this latter matter: the marking and detection under paragraph 2 for systems already placed on the market before the stated application date. It does not follow that all existing systems are exempt from the other Article 50 obligations. Nor does it mean that every tool integrated into an older product retains the same treatment indefinitely: teams must assess the system and version that they actually make available or modify.

Placed on the market is not a commercial label or an announcement date

The temporal condition requires identifying whether a system was placed on the market before 2 August 2026. In regulatory language, this question should not be resolved solely by the date of a press release, a public demonstration, a limited beta version, or the date on which a customer account was created. The record should connect the specific system with its first making available on the Union market and with the evidence available for that fact.

The difficulty increases for products that change frequently. A model, a generation interface, an editing service, and an API may have different release cycles. An update may also change the capability to generate content, the marking method, or the role of the entity offering the service. The institutional information provided does not make it possible to set an automatic rule here for every version change. As a precaution, relevant changes should undergo a documented review instead of assuming that the date of a parent product is sufficient for all of its components.

This review should involve product, engineering, compliance and, where appropriate, the editorial or communications team. Inferama’s news section can help track regulatory developments; its comparison and discovery areas can help organise tools and capabilities, but they do not replace analysis of the specific configuration and use.

Provider and deployer have different duties and may be the same organisation

The distinction between roles is essential. The provider is central to the obligation to design or incorporate machine-readable marking into outputs from covered systems. The institutional source also presents the Code of Practice on Transparency of AI-generated Content as a relevant voluntary instrument for demonstrating compliance with measures related to marking and detection. Its voluntary nature does not make the code an autonomous obligation, nor does it remove the need to assess the applicable legal requirement.

The deployer, in turn, is the party using a system in a particular context. When it discloses image, audio, or video content that constitutes a deepfake, it must reveal that it has been artificially generated or manipulated under the applicable conditions. There is also a specific rule for deployers that generate or manipulate text published for the purpose of informing the public on matters of public interest. This second situation contains nuances and exceptions that require an assessment of human control, editorial review, and editorial responsibility.

A company may provide a generative service and also use it to publish campaigns, news, videos, or communications on its own website. In that case, it is not advisable to select one role for the entire product. Each activity should be mapped: offering the system, integrating a third-party capability, generating a piece, editing it, and distributing it. The result may trigger different obligations at different stages.

Machine-readable marking and public disclosure address different problems

A visible label, credit note, icon, or notice within a publication may help a person understand the content. However, they are not, by definition, equivalent to machine-readable marking that enables detection of artificial origin or manipulation. The official guidance distinguishes marking and detection measures from labelling or disclosure duties that apply to deployers. Teams should not present a visual solution as sufficient evidence of the technical requirement without checking its scope.

Conversely, metadata or a signal embedded in content may not be enough for the public to receive clear, distinguishable, and timely disclosure in the interface where the content is displayed. Article 50 includes conditions of clarity, distinguishability, and accessibility for the required information. Product design must consider both the persistence of a technical signal and the timing, format, and comprehensibility of the notice directed at people.

The supplied sources also indicate that there are contextual exceptions and conditions, especially for certain artistic, creative, satirical, or fictional uses and for certain texts subject to editorial review and editorial responsibility. These exceptions should not be applied merely because of the name of a section, campaign, or account. The reasoning linking the facts of the case to the exception invoked should be retained.

Evidence worth gathering before a launch or review

Operational evidence should make it possible to answer which system was used, when it was placed on the market, what output it produced, which technical measures were applied, and what notice the public received. A generic product sheet or a provider’s commercial statement will rarely demonstrate all of those points. It is preferable to maintain a record for each system and version, connected to the provider inventory, change history, and publication decisions.

For marking, it is reasonable to retain the technical specification received from the provider, the method used to verify detectability, and known limitations when content is transformed, downloaded, converted, or distributed by third parties. For disclosure, it is useful to retain screenshots or interface records, the notice text, intended audience, the moment when it appears, and the decision on exceptions. These are organisational and evidentiary recommendations; they do not replace requirements that competent authorities may specify.

Supervision of Article 50 primarily falls to national market surveillance authorities. The institutional documentation also envisages a role for the AI Office and the European Data Protection Supervisor in specific areas. The precise allocation of powers depends on the case and entity involved. For a cross-border service, a provider located outside the Union, or uncertainty about an exception, the current institutional documentation and specialist advice may be necessary.

What can be stated with confidence and what remains uncertain

Based on the institutional sources supplied, it can be stated that transparency obligations do not form a single block, that the cited transitional exception is confined to marking and detection under the paragraph applicable to providers, and that providers and deployers have differentiated responsibilities. It can also be stated that the cited Code of Practice is voluntary and is presented as a way to support demonstration of compliance with certain duties, rather than as an automatic substitute for all of them.

It cannot responsibly be stated, on the basis of the summary material available for this article, that 2 December 2026 is the expiry date of that exception. Nor is it possible to determine in the abstract whether a particular update retains the status of an existing system, whether a work falls within an exception, or whether a specific notice is accessible in every context. Those questions depend on the facts, the current version of the guidance, and, where relevant, the interpretation of authorities.

The useful measure is not to wait for a single label or a provider’s compliance statement. It is to build a verifiable record that separates the system, date, type of content, role, technical marking, disclosure, and editorial decision. That separation reduces the risk of confusing a communication to a user with a machine-detectable signal, or a provider obligation with an obligation of the party that publishes.

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