AI-generated ads: balancing attention and trust in user-generated content

The rise of AI in advertising has transformed the creation of user-generated content, allowing advertisers to produce creator-style ads quickly using synthetic avatars and automated tools. This shift, driven by ad fatigue and the relentless pace of platforms like TikTok and Meta, highlights the need for rapid iteration over traditional production methods. AI-generated ads excel in replicating familiar patterns and improving early engagement metrics but struggle with authenticity and trust, especially in emotionally-driven content. This dynamic emphasizes the importance of balancing algorithmic efficiency with genuine human connection. Experiments at Mojo revealed that while AI can speed up the discovery of successful ads, it cannot replace the authenticity and credibility that real individuals bring, as demonstrated by the success of a custom digital twin of a Product Manager. The challenge for brands is navigating the legal, cultural, and reputational risks associated with synthetic media, while understanding when to leverage AI for efficiency and when to rely on human elements to build trust and long-term retention.