Yet despite its widespread adoption, many organizations remain surprisingly hesitant to openly discuss how they use it.
This hesitation is based on an assumption that has become almost universally accepted: if customers discover that AI was involved in creating content, advertisements, or customer experiences, trust will decline and performance will suffer.
But what if that assumption is wrong?
Recent findings suggest that businesses may be worrying about the wrong problem.
The Fear of Disclosure
Over the past two years, countless discussions around AI have focused on transparency. Should brands disclose when content was created with AI? Should AI-generated images be labeled? Should consumers be informed when they are interacting with AI-powered systems?
Behind these questions lies a common concern.
Many organizations fear that disclosure will negatively affect consumer perception. They worry that audiences may view AI-generated content as less authentic, less trustworthy, or less valuable than content created entirely by humans.
As a result, some companies choose to remain vague about their use of AI, while others avoid discussing it altogether.
However, emerging evidence suggests that consumers may be far less concerned than businesses assume.
What the Research Says
A recent study conducted by MediaScience in collaboration with researchers from the University of Adelaide examined whether AI disclosure labels affect advertising performance.
The findings challenge many of the assumptions currently shaping business decisions around AI transparency.
According to the research, advertisements labeled as AI-generated showed little to no negative impact on key performance indicators, including brand recall, brand recognition, and overall advertising effectiveness. In some cases, disclosure labels were even associated with slightly stronger brand recognition outcomes.
Rather than rejecting AI-generated content simply because it was identified as such, audiences appeared largely indifferent to the disclosure itself.
The study suggests that transparency may not be the threat many organizations believe it to be.
Source: Marketing Dive, AI disclosure labels don’t hurt ad performance. Here’s what the numbers say.
The Real Issue May Be Trust, Not Technology
The results raise an interesting question.
If disclosure does not significantly damage performance, why are so many businesses reluctant to be transparent about their use of AI?
The answer may have less to do with technology and more to do with trust.
Many organizations are still navigating the relationship between innovation and credibility. They fear that acknowledging the use of AI could undermine perceptions of expertise, creativity, or authenticity.
Yet history shows that customers rarely object to new technologies when those technologies provide clear value. What damages trust is not the technology itself but the perception that information is being hidden or manipulated.
Transparency is often interpreted as a risk.
In reality, a lack of transparency can be the greater risk.
A New Corporate Governance Challenge
As AI becomes embedded in more business processes, the conversation is gradually shifting beyond technology and marketing.
Questions about disclosure, accountability, and responsible use are increasingly becoming matters of corporate governance.
Many organizations are now developing internal AI governance frameworks to determine not only how AI should be used, but also when and how its use should be communicated.
This discussion extends far beyond advertising.
Should customers know when AI contributes to content creation?
Should organizations disclose when AI supports customer service interactions?
How transparent should businesses be about automated decision-making systems?
These questions are becoming increasingly relevant as regulators, consumers, and stakeholders demand greater accountability.
Transparency as a Competitive Advantage
For many years, businesses viewed transparency primarily as a compliance obligation.
Today, it is increasingly becoming a competitive advantage.
Customers are becoming more comfortable with AI. What they are less comfortable with is uncertainty. When organizations are open about how technology is being used and why it is being used, they often strengthen rather than weaken trust.
The findings from the MediaScience and University of Adelaide research suggest that businesses may be overestimating the risks of disclosure while underestimating the value of openness.
As artificial intelligence becomes a standard part of business operations, the organizations that stand out may not be those that hide their use of AI.
They may be the ones that are confident enough to discuss it openly.
Because the future of AI adoption is unlikely to be determined by the technology alone.
It will be shaped by the level of trust organizations are able to build around it.
Sources
Marketing Dive (2026) AI disclosure labels don’t hurt ad performance. Here’s what the numbers say. Available at: https://www.marketingdive.com/news/ai-disclosure-labels-dont-hurt-ad-performance-heres-what-the-numbers-say/822711/ (Accessed: 15 June 2026).
MediaScience (2026) MediaScience. Available at: https://mediascience.com/ (Accessed: 15 June 2026).
University of Adelaide (2026) The University of Adelaide. Available at: https://www.adelaide.edu.au/ (Accessed: 15 June 2026).
