Future of Marketing Briefing: The ad industry has an AI label problem

People no longer trust what they see, and the ad industry hasn’t agreed on what honesty looks like in response.

Does an AI-generated background warrant a label? What about a synthesized soundtrack? Or does the threshold only kick in when it’s a human face, a product claim or a body that never existed? These feel like mundane distinctions until you factor in what labelling actually costs. Research from NYU Stern and Emory University suggest that AI disclosure can reduce ad effectiveness by up to 31.5%. 

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While AI is building the web faster than ever, accessibility can’t be left behind

Chad Sollis, Chief Marketing Officer, AudioEye

AI has given marketers something they’ve wanted for years: speed. Landing pages that used to take weeks now take minutes, and product content scales without headcount. 

That’s genuinely good news, but speed has a side effect that most marketing teams haven’t fully reckoned with yet. The experiences being built at this pace aren’t automatically accessible to everyone. And for brands focused on reach and conversion, that’s a problem hiding in plain sight.

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