Human Touch Is Essential to Harness AI's Power

DoubleVerify's latest global study shows that poor-quality AI content can erode brand trust, making human oversight and quality control more important as adoption grows.

The numbers tell a compelling story. DoubleVerify’s global survey of 22,000 consumers and 2,020 marketers across more than 20 markets found that 42% of consumers say low-quality AI advertising would negatively affect their opinion of a brand. Meanwhile, more than half of marketers express concern about their ads appearing alongside poor-quality AI content.

Consumers aren’t rejecting AI wholesale. Globally, 63% say AI-powered tools like search summaries and chatbots improve their online experience. The catch? They respond strongly to quality. While 40% view polished, professional AI ads positively, that approval vanishes when the content feels cheap, generic, or uncanny.

Here’s the fascinating paradox: 56% of consumers admit they cannot consistently identify AI-generated content. Yet their emotional response to poorly executed AI remains visceral. It’s not about detecting the algorithm; it’s about sensing the absence of genuine human thought and care.

Attitudes toward AI vary considerably by market. While only 50% of North American consumers say AI-powered tools improve their online experience, that figure rises to 69% in Latin America and 68% in Asia-Pacific. North American marketers are also the most cautious, with 63% concerned about using AI to create advertising.

These differences matter because brands cannot assume that audiences everywhere will respond to AI in the same way. Markets that are more enthusiastic about the technology may be more receptive to AI-generated experiences, but that does not make quality or context less important. More skeptical audiences may require stronger evidence that AI is being used carefully, transparently, and in ways that improve rather than cheapen the experience.

Human oversight serves multiple critical functions:

Fact-checking and accuracy: AI systems can hallucinate information or present outdated data as current. Human editors catch these errors before they damage credibility.

Cultural nuance: AI often misses cultural subtleties, particularly for multicultural audiences. As Nielsen research indicates, 55% of Black respondents express concerns about bias and stereotypes in AI-generated content.

Brand voice consistency: AI can mimic style, but maintaining authentic brand voice requires human judgment and emotional intelligence.

Ethical boundaries: Knowing when and where AI use is appropriate demands human wisdom that algorithms cannot replicate.

DoubleVerify’s findings about AI chat platforms illustrate the importance of context. While 46% of global consumers view ads in AI chat platforms positively, that acceptance depends heavily on implementation. Across various scenarios tested - including ads alongside negative, sad, or highly personal conversations - contextual relevance was the only factor where positive sentiment outweighed negative.

As Mark Zagorski, CEO of DoubleVerify, notes in the report: "AI itself is not what determines engagement. The quality of the output does. As AI becomes more deeply embedded across the digital ecosystem, the industry must ensure that innovation does not come at the expense of media quality, transparency or trust."

Four out of five consumers demand transparency about AI use in content creation. They want authenticity, not deception. They value quality over quantity. And they respond to content that feels genuinely crafted to serve their needs, regardless of whether human hands or algorithms did the initial drafting.

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