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EU AI Act: Transparency is the New Imperative for Marketing & AI Interaction

Marek Toman 16. 8. 2026 5 min read

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EU AI Act: Transparency is the New Imperative for Marketing & AI Interaction

Photo: Ekō (formerly SumOfUs) · CC BY 2.0 · source

The European Parliament has passed legislation that changes the rules of the game for anyone working with artificial intelligence. As of August 2, 2026, key transparency obligations of the European Union's Artificial Intelligence Act (EU AI Act) have come into force. This isn't just another directive; it's a fundamental step towards building trust in AI and protecting users. For all those developing or deploying AI systems, especially in marketing and communication, it means one thing: transparency is no longer a mere gesture, but a legal requirement.

What Exactly Does the EU AI Act Require for Transparency?

The Act distinguishes between several types of AI systems and sets different requirements for each. For marketing and communication specialists, two points regarding transparency are particularly crucial.

  1. Interaction with AI Systems: If users interact with an AI system (such as a chatbot), they must be clearly and comprehensibly informed that they are not communicating with a human. An exception applies if this is obvious from the context.
  2. AI-Generated Content (Deepfakes and Synthetic Content): Providers of AI systems that generate or manipulate synthetic audio, images, video, or text must ensure that such content is machine-readably marked as artificially generated or manipulated. This includes a detection mechanism. Furthermore, in the case of deepfakes or AI-generated text that informs the public about matters of public interest, it must be human-readably disclosed that the content was artificially generated or manipulated, unless it has undergone substantial human editorial review.

These obligations apply immediately to all in-scope systems placed on the market from August 2, 2026. For generative AI systems already on the market before this date, an extended deadline for implementing machine-readable marking and detection mechanisms applies until December 2, 2026.

Why is Transparency So Crucial?

One of the main objectives of the EU AI Act is to strengthen trust in digital services and protect consumers from manipulation. We see this, for example, in generative AI marketing, where studies show that consumers are increasingly sensitive to whether content is human-created or AI-generated. A Rival Technologies study from August 2026 revealed that 72% of Gen Z consumers took direct action against a brand (e.g., unfollowing, unsubscribing from newsletters, ceasing purchases) when they discovered marketing content was AI-generated. Half of them described their reaction as 'very negative'.

This highlights the risk that AI-generated content, especially that which seeks to emotionally influence or persuade, can erode trust if not transparently disclosed. The Washington Post recently highlighted a report from the Center for Digital Democracy (CDD) warning that generative AI marketing tools could emotionally exploit children if not properly regulated.

Practical Impact on Businesses and Marketing

The new obligations mean that companies must audit their existing and planned AI systems. This includes not only technical solutions but also procedural changes. For instance, if you use AI for generating social media posts, creating images for campaigns, or deploying chatbots for customer support, you must ensure that the content is correctly labeled and the interaction is clearly communicated.

What you should check:

Photo: Nordiske Mediedager · CC BY-SA 2.0

Consequences of Inaction and Business Bridge

The penalties for non-compliance with the EU AI Act are significant, reaching up to €15 million or 3% of global annual turnover, whichever is higher. And that's just the visible part. A much greater risk lies in losing customer trust, brand damage, and legal disputes. At a time when AI is becoming a standard part of marketing and business processes, it is crucial that its implementation is ethical and compliant with regulations.

It's not enough to just implement AI tools; you must integrate them responsibly. This requires not only technical knowledge but also a deep understanding of the legal framework and consumer expectations. This is precisely where I see the role of a partner capable of conducting a comprehensive audit of your AI processes, designing and implementing compliance solutions, and ensuring your AI strategy is built on solid foundations of trust and transparency.

Next Steps

If your company uses AI, it's time for a thorough review. Start by inventorying all AI systems you use or plan to deploy. Determine if they fall under the transparency obligations and verify that your internal processes are ready to comply with the new rules. Don't wait for an inspection. A proactive approach to transparency and ethical AI use is an investment in your brand's future. You can also find relevant information in our previous article on EU AI Act: Mandatory Transparency is Here. What Does It Mean for Your Marketing?.

FAQ

Q: Do the EU AI Act transparency obligations apply to AI systems placed on the market before August 2, 2026? A: Yes, they do. However, for generative AI systems placed on the market before August 2, 2026, the deadline for implementing machine-readable marking and detection mechanisms is extended to December 2, 2026. All other transparency obligations apply from August 2, 2026.

Q: What is the maximum fine for non-compliance with the EU AI Act's transparency obligations? A: The maximum fine for non-compliance with transparency obligations can reach up to €15 million or 3% of global annual turnover, whichever is higher.

Q: Is it always necessary to inform users that they are interacting with an AI chatbot? A: Yes, it is necessary unless it is obvious from the context that it is an AI. The goal is to ensure users know who or what they are communicating with.

Q: What is the difference between machine-readable and human-readable labeling of AI-generated content? A: Machine-readable labeling (e.g., watermarks, metadata) allows for automated detection of AI-generated content. Human-readable labeling is an explicit textual notice for users (e.g., 'This image was AI-generated'), which is required for deepfakes and public interest content.

Sources & references (6)
  1. https://www.cooley.com/news/eu-ai-act-transparency-obligations-take-effect-2-august-2026
  2. https://www.responsibleailabs.com/eu-ai-act-august-2026-compliance-countdown
  3. https://www.morganlewis.com/pubs/eu-ai-acts-transparency-rules-what-went-into-effect-on-2-august
  4. https://www.whitecase.com/insights/eu-ai-omnibus-enters-into-force-amending-ai-act
  5. https://sig.com/insights/eu-ai-act-summary-august-2026-update
  6. https://www.washingtonpost.com/technology/2026/08/14/ai-persuasion-marketing-children-cdd-report/

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Marek Toman
Marek TomanFounder & Creative Director · one-o-one.cz

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