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There’s never been a better time to be human.
In A Nutshell
- 78% of consumers trust videos with real people more than content without visible humans, even as AI video tools become more accessible
- 82% of viewers say they’ve watched AI-generated videos, and 36% report it lowers their trust in the brand
- Human presence matters across all age groups, including younger consumers who are generally more comfortable with AI technology
- Marketers want AI to assist, not replace human creativity; they’re using tools for editing and scripting while keeping real faces on camera
- The winning strategy: Let AI handle production tasks like transcription and initial edits, but keep humans visible in the final video to maintain authenticity and trust
Brands have spent years perfecting their video marketing strategies, testing everything from length to lighting to call-to-action placement. Now, a timely survey suggests the most effective trust-building tool may be simply showing up on camera.
Nearly 78% of consumers say they trust videos featuring real people, according to research from video creation platform Animoto. That preference holds even as AI-generated video tools flood the market and brands race to produce more content faster.
The finding comes from Animoto’s State of Video 2026 report, based on a survey of 460 Americans split between everyday consumers and marketing professionals. At a time when artificial intelligence can generate entire videos from text prompts, the data points to an old-fashioned truth: people still want to see other people.
Farrukh Kamran, one survey respondent, explained the appeal: “I use video because it’s the most powerful way to tell a story, share emotions, and connect with people.”
The Trust Gap Between Human and AI Content
The preference for human faces isn’t just about aesthetics. More than 82% of consumers report watching videos they believe were AI-generated, and among that group, 36% say it lowers their trust in the brand behind it.
This creates a numbers problem for marketers. Even if AI tools can help produce videos faster, the resulting content may trigger skepticism that undermines the entire purpose of making the video in the first place.
Separate research cited in the report found that 88% of consumers consider brand trust as important as price and quality when making purchases. Three-quarters of U.S. adults think it’s extremely or very important to know whether images, videos, or text were created by AI or people.
This trust penalty appears regardless of whether audiences correctly identify AI content. The survey showed that consumers believe they can spot AI-generated videos based on “an entire set of signals” and contextual mismatches, according to respondent Olga Mirkovic. Whether they’re right doesn’t matter. Perception alone affects how they view the brand.

Why Human Presence Works
Video combines visual and audio elements, captures facial expressions and body language, and creates a sense that someone is talking directly to the viewer rather than broadcasting at them. That personal connection appears to matter more than production polish.
Researchers surveyed only participants already familiar with AI tools like ChatGPT or video generators, so these weren’t people unfamiliar with the technology. Even among users who understand how AI works, preference for human presence remained strong.
Animoto also gathered responses from more than 100 of its own users to add context beyond the numbers. These responses revealed that audiences can often sense when a video lacks human involvement, even if they can’t articulate exactly what feels off.
Aaliyah Miller, another respondent, described the tell: “You want your content to feel authentic. Some AI-generated videos have a look and feel that tells you it is AI. Videos are meant to be engaging and fresh. AI needs to be able to deliver on that for users and viewers.”
How Marketers Are Responding
On a positive note for brands, surveyed marketing professionals aren’t trying to remove humans from their videos. Despite pressure to produce more content faster, marketers still want control over which footage to use, how to present their brand voice, and when to put themselves on camera.
Roya Safarian, a survey respondent, explained the balance: “AI can enhance storytelling as long as the brand still keeps a human touch. The key is balance: technology should support the message, not replace the genuine voice behind it.”
This suggests an emerging approach where AI handles grunt work (transcription, initial edits, draft scripts) while humans stay visible in the final product. The technology speeds up production without triggering the trust penalties that come when videos feel synthetic.
Beth Forester, CEO of Animoto, summarized the findings: “The data’s clear: consumers are curious about AI, but confident in humans. Generative AI can speed up and scale up your video creation, but it’s no replacement for authenticity.”
The Practical Takeaway
For brands trying to keep up with content demands in 2026, the research offers a straightforward strategy: use your face.
Videos featuring company founders, employees, customers, or anyone else who can speak authentically about the brand perform better than content that hides the humans behind it. This remains true even if AI helped script the video, edit the footage, or generate the initial concept.
The strength of video comes from its ability to convey emotion and build connection in ways that text or static images can’t match. Even as AI changes how videos get made, the fundamental reason people respond to video hasn’t shifted.
Audiences aren’t opposed to AI helping create content. They’re opposed to content that feels like it was made without any human involved at all. Show your face, use your own footage, and maintain your distinctive voice. Brands following that formula can still benefit from AI’s efficiency gains without sacrificing the credibility that comes from actual human presence.
In summation, the poll suggests that in a world where anyone can generate a video with a few text prompts, true competitive advantage belongs to brands willing to put themselves in front of the camera.
Survey Methodology
Animoto conducted a mixed-methods study in September 2025 examining how video and AI are changing content creation and audience trust. The research combined quantitative and qualitative approaches to capture both marketer intentions and consumer perceptions.
The quantitative portion surveyed 460 qualified U.S. participants divided into two groups. The consumer segment included adults ages 22-64 who had watched at least one brand video in the past month. The marketer segment included adults ages 22-64 employed at companies with 10 to 1,000 employees who personally create or oversee video production at least once per month. All respondents confirmed familiarity with AI tools including ChatGPT, image or video generators, or text-to-speech systems. Researchers screened out individuals with no video or AI experience.
A qualitative follow-up survey gathered open-ended responses from more than 100 Animoto users. These responses provided context and direct quotes featured throughout the report.
The study design compared creator intent with audience perception, examining both sides of the video landscape rather than focusing solely on either content creators or consumers. This approach revealed where marketer assumptions align with audience expectations and where gaps exist.







