AI transparency is a brand-trust and leadership question

Beyond labels and disclosure rules, AI-generated content raises questions about editorial ownership, authenticity and long-term brand equity.

Lately I’ve been following the EU AI Act and, in particular, its transparency rules for AI-generated content. For marketing leaders, this is not just a compliance topic. It raises questions about what people know they are looking at — and what they choose to trust.

The Act’s Article 50 transparency obligations apply from 2 August 2026. They distinguish between obligations for providers of AI systems and obligations for those using them. Not every use of AI in marketing carries the same disclosure requirement.

The rules include disclosure for deepfakes and for AI-generated or manipulated text published to inform the public on matters of public interest. For that public-interest text, the Act includes an exception where it has undergone human review or editorial control and a person or organisation holds editorial responsibility for publication.

Technical marking and visible disclosure are different questions. Anthropic describes a statistical watermark in Claude’s word choices, rather than added characters. The company says the mark may remain detectable after copying and pasting, though editing can affect its persistence and detection is probabilistic. That is not the same as a visible label telling a reader that content was AI-made.

A few things I’m reflecting on:

1. Visibility

Will Google and Meta’s algorithms change how they treat flagged AI content? This is a question I’m watching, not an established prediction that AI content will automatically be deprioritised.

2. Editorial ownership

How much human involvement is meaningful editorial control? How do review and accountability work across text, images, audio and video? The answer cannot simply be a quick approval at the end.

3. Brand trust

Will companies that choose voluntary transparency practices now build stronger trust over time? I keep rooting for brands that stay real, authentic and trustworthy — not those optimising for volume over voice.

4. Governance

How many leadership teams actually know how much AI is being adopted in their marketing and communications? Who owns the standards, checks the output and remains accountable for what the brand publishes?

The risk of letting AI ‘do the job’ without an implementation strategy is too big. Short-term cost reduction should not come at the expense of long-term brand equity.

As a marketing leader, I would not cut corners here. Clear ownership, informed review and trustworthy communication matter just as much as the tools themselves.