Key Takeaways

• AI disclosure labels do not reduce advertising effectiveness. Research involving 900 U.S. consumers found no significant negative impact on brand recall, consumer sentiment, or brand attitude when advertisements were labeled as AI-generated.
• The question is no longer whether to disclose AI. The competitive advantage now comes from understanding when, how, and why to disclose AI use in advertising and marketing.
• How you disclose matters more than whether you disclose. Disclosure format has a greater influence than the presence of a label alone, and the formats consumers say they prefer are not always the ones that communicate AI involvement most effectively.
• Consumers expect transparency when AI imitates people. Approximately 60% of consumers expect disclosure when AI is used to simulate or portray a human being—a substantially higher expectation than for any other AI use case studied.
• AI disclosure regulations are expanding quickly. Multiple U.S. states have enacted AI disclosure laws, while the European Union now requires labeling for certain categories of AI-generated content.
• Organizations need a disclosure framework, not just a label. Advertisers that establish a thoughtful, consistent AI disclosure strategy today will be better positioned to comply with evolving regulations while building greater consumer trust than competitors that wait to react.

 

Most marketers worry that AI disclosure will hurt campaign performance.

New research suggests it doesn’t.

My direct response ad agency uses AI too — but only with two critical guardrails. Everything we produce is built on copy and creative principles we already know get results. And a human creative director reviews every piece, because AI still misses the emotional read that good direct response demands.

Here’s why those guardrails matter right now: a study of 900 US consumers — conducted by MediaScience, MediaPet, and the Ehrenberg-Bass

Institute for Marketing Science at Adelaide University — tested four different AI disclosure formats. The finding is remarkable, because it overturns one of the biggest assumptions marketers have made about AI-generated advertising: disclosure did not negatively impact brand recognition, consumer sentiment, or brand attitude in any meaningful way.

So the real question isn’t whether to disclose AI use anymore.

It’s when, how, and why.

Format Matters More Than Whether You Disclose

This is the most useful thing in the entire study, and it should drive your decision-making.

Consumers said they prefer an AI icon — 42% picked it as their top choice.

But the icon was also the least effective format at actually registering that the ad was AI-generated. Only 38% of people who saw it correctly identified the ad as AI-made. Continuous on-screen text performed worst on preference but best on awareness, with 49% correctly identifying it.

Here’s what that means for your next campaign:

If your objective is minimizing friction in the viewing experience, start with an icon. If your objective is maximum transparency — or you’re in a heavily regulated category like financial services or healthcare — continuous text is the safer, more open choice. If you’re using a synthetic spokesperson or AI voice clone, don’t wait for a regulator to tell you which one to pick. Use text. Use it clearly. That’s the use case where consumers — and the law — care most.

Why the Fear Doesn’t Hold Up

The brand recall numbers make the case plainly.

Across all five study groups — including the unlabeled control — there was only a seven-point spread in unaided brand recall. The continuous labeling group scored lowest at 87%. The first-three-seconds group scored highest at 92%. Every format in between landed in that narrow band.

Brand attitude showed the same pattern. The AI icon scored lowest at 44% positive. The best format reached 51%. Seven points, best to worst — a formatting decision, not a performance risk.

As the study’s lead researcher put it: labeling is a win-win, provided the ad is good.

AI disclosure doesn’t sink strong creative. It removes the hiding place for weak creative.

A disclosed AI ad with real emotional intelligence behind it performs fine. A disclosed AI ad that feels hollow has nowhere left to hide.

The One Number That Should Drive Your Policy

60% of consumers say disclosure should be required when AI is used to simulate a human being.

Not an icon. Not background music. A person.

That’s the line your audience actually cares about. Everything else tested in the study — animals, product placement, coloring, animation — registered as far less important to them.

So build your policy around that line. If your AI use touches anything resembling a human presence — a synthetic spokesperson, a cloned voice, a fabricated testimonial — disclose it clearly and disclose it with text, not just an icon. For lower-stakes uses, your audience appears far less concerned, so prominent disclosures may add friction without delivering a proportional trust benefit.

CDMG’s Practical Starting Framework

We built this for our own creative process, and it’s the starting point we’d recommend to any advertiser sorting through this right now. It’s not a legal standard — laws vary by state and category, so confirm requirements for your specific situation.

Regulation Is Already Here — And It Agrees

Multiple US states have passed AI disclosure laws. New York’s law took effect in early June 2026. The EU now requires labeling of select AI-generated content under the AI Act.

New York’s law, notably, only requires disclosure for “synthetic performers” — AI built to look or sound like a real person. That’s the same line consumers drew on their own. The regulatory bar and the consumer expectation bar are converging on the same place.

What Changed After Reading This

The old approach was to avoid the disclosure question altogether, or disclose everything uniformly out of fear.

Neither makes sense anymore. The right question isn’t whether to disclose — it’s what this specific use of AI actually requires, given the audience, the medium, and how closely it touches a human presence.

Get that right, and the AI label becomes a neutral signal — or even a point of trust.

Action:

Do You Have an AI Disclosure Framework — Or Just a Single Label You’re Hoping Covers Everything?

Most advertisers using AI in their creative don’t have a real policy. They’re either disclosing everything out of fear or nothing out of hope.

At CDMG, we help brands build the disclosure framework, creative policy, and workflow that satisfies both regulators and performance marketers — so your team knows exactly when, how, and why to disclose, without slowing down your creative process.

Call Michael at 615-933-4647 or email him at [email protected].

FAQs:

Q: Do AI disclosure labels hurt ad performance?
A: Based on a study of 900 US consumers conducted by MediaScience and the Ehrenberg-Bass Institute for Marketing Science at Adelaide University, AI disclosure labels did not negatively impact brand recall, consumer sentiment, or brand attitude in any significant way.

Q: What AI disclosure format do consumers prefer?
A: Consumers overwhelmingly prefer an AI icon — 42% selected it as their preferred disclosure method. However, the icon format produced the lowest actual awareness that an ad was AI-generated, at just 38% of respondents.

Q: Which disclosure format is most effective at communicating that an ad is AI-generated?
A: Continuous on-screen text disclosure produced the highest awareness rate — nearly 49% of respondents correctly identified the ad as AI-generated. However, it was also the least preferred format among consumers.

Q: When do consumers most expect AI disclosure?
A: When AI is used to simulate a human being. 60% of consumers said disclosure should be required in that case — a significantly higher expectation than for other AI uses like product placement, coloring, or animation.

Q: Are there laws requiring AI disclosure in advertising?
A: Yes, and the regulatory landscape is expanding. Multiple US states have passed AI disclosure laws. New York’s law took effect in early June 2026. The EU now requires labeling of select AI-generated content under the AI Act. Most current laws focus specifically on AI that simulates real human performers.

Q: Does using AI in ad creative hurt brand attitude?
A: The study found only a seven-point gap in brand attitude scores between the best and worst performing disclosure formats. The presence of an AI label is not a significant driver of negative brand perception — provided the creative itself is strong.

Q: What should advertisers actually disclose, and what can they skip?
A: Disclosure matters most when AI is used to simulate a human presence — a spokesperson, a voice, a testimonial. Lower-stakes uses like copy assistance, image enhancement, or background generation carry far less consumer concern and regulatory risk, and often don’t require prominent disclosure at all.

About Craig Huey:

Craig Huey is President of Creative Direct Marketing Group (CDMGinc.com), a 30-year leader in direct response advertising and multi-channel marketing. Under his leadership, CDMG has:

• Tested more than 10,000 digital marketing variables.
• Mailed over 10 million pieces of direct mail in the last year alone.
• Won more than 120 awards for marketing excellence.

Craig is also the publisher of Direct Marketing Update, the trusted newsletter for company presidents and marketing directors looking to maximize ROI with cutting-edge, accountable advertising strategies.

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