ChatGPT for blog posts, Midjourney for social media graphics, AI tools for newsletter copy — AI is already standard in marketing. From August 2026, the EU AI Act sets clear requirements for labeling this content. Marketing teams need to adapt workflows before the deadline.
What Must Be Labeled?
The AI Act distinguishes between fully AI-generated content and AI-assisted content. Fully AI-generated text, images, video, and audio clearly fall under labeling obligations. For AI-assisted content — such as human-written text with AI proofreading — the situation is less clear. The safe recommendation: when in doubt, label.
Practical Implementation for Marketing Teams
Blog articles and website content: Add machine-readable metadata indicating AI involvement. A simple footer disclaimer is insufficient — labeling must be machine-readable.
Social media posts: Many platforms already implement their own AI labeling (Instagram, LinkedIn). Use these features and supplement with your own notices as needed.
Images and graphics: AI-generated images should carry C2PA-standard metadata. Tools like Adobe Firefly integrate this natively. Midjourney or DALL-E outputs require manual metadata addition.
Newsletters and emails: Automatically sent AI content falls under labeling obligations. Review your email marketing workflow for AI-generated components.
Workflow Recommendation
Create an internal policy defining: Which tools qualify as AI under the Act? How is AI usage documented? Who is responsible for labeling? How is labeling technically implemented?
A simple decision tree helps: Was content wholly or predominantly generated by AI? If yes: machine-readable labeling. Was AI only used as an aid? If yes: internal documentation, labeling recommended.
FAQ
Must I label AI-generated product descriptions? If generated by an AI system and published: yes. Labeling protects you legally and signals transparency.
What about AI-generated translations? Machine translations (DeepL, Google Translate) potentially fall under labeling if published unmodified.
How do customers react to AI labeling? Research indicates transparent AI usage strengthens rather than weakens trust. Openness signals professionalism.
