AI-generated videos can achieve unusually high watch-through rates (over 50%) on social media. The subtle imperfections make viewers question if what they're seeing is real, creating a captivating 'is this AI?' effect that holds their attention longer than a standard product demo.

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The novelty of AI-generated launch videos provides a temporary 'alpha' for startups to capture attention. However, this advantage is fleeting. As the aesthetic becomes common, its ability to act as a compelling hook will dissipate, similar to how early Studio Ghibli-style AI images went from viral to ignored once commoditized.

As CGI becomes photorealistic, spotting fake hardware demos is harder. An unexpected giveaway has emerged: the use of generic, AI-generated captions and descriptions. This stilted language, intended to sound professional, can ironically serve as a watermark of inauthenticity, undermining the credibility of the visuals it accompanies.

AI video tools like Sora optimize for high production value, but popular internet content often succeeds due to its message and authenticity, not its polish. The assumption that better visuals create better engagement is a risky product bet, as it iterates on an axis that users may not value.

With the release of OpenAI's new video generation model, Sora 2, a surprising inversion has occurred. The generated video is so realistic that the accompanying AI-generated audio is now the more noticeable and identifiable artificial component, signaling a new frontier in multimedia synthesis.

Proficiency with AI video generators is a strategic business advantage, not just a content skill. Like early mastery of YouTube or Instagram, it creates a defensible distribution channel by allowing individuals and startups to own audience attention, which is an unfair advantage in the market.

As AI makes creating complex visuals trivial, audiences will become skeptical of content like surrealist photos or polished B-roll. They will increasingly assume it is AI-generated rather than the result of human skill, leading to lower trust and engagement.

While AI video tools can generate visually interesting ads cheaply and capture views, they currently lack the authentic creative spark needed for true brand building. Their value lies in quick, low-cost content, making them a performance marketing tool rather than an asset for creating a lasting, memorable brand identity.

In an era of highly produced brand content, raw, unpolished videos can feel more authentic and are more likely to stop the scroll. This "imperfect" quality is a strategic advantage, not a weakness, as it stands out against overly polished feeds.

The key to Sora's social app wasn't just generating beautiful videos, but allowing users to inject themselves and friends via "cameos." This non-obvious feature transformed the experience from a tech demo into a human-centric social platform, achieving immediate internal product-market fit.

By presenting AI-generated video in an intentionally low-resolution format like a doorbell camera, creators can mask imperfections. This prevents the uncanny valley effect, where near-perfect but flawed CGI is unsettling, making the content feel more authentic and viral.