The film and television industry is undergoing a transformation as artificial intelligence continues to streamline production processes. Since 2026, the use of AI in generating scripts, editing videos, and creating micro drama prototypes has been on the rise, leading to a reevaluation of production strategies. With the barrier to entry for content creation lowered, questions arise about what truly constitutes content value. As the micro drama sector adjusts, the focus shifts from rapid expansion to a more refined approach, prioritizing audience retention, emotional depth, character development, and production quality over sheer viewership.
In the past, the industry thrived on fast-paced narratives and marketing strategies driven by viewer traffic. However, as audiences grow weary of formulaic content, platforms are now emphasizing the importance of authentic characters and genuine emotions. This shift has paved the way for a new generation of producers with diverse skill sets, extending beyond traditional roles. These producers are now delving into audience analysis, narrative structuring, and data-driven decision-making to enhance production workflows. Liu Yixian exemplifies this trend, having adapted his production strategy to focus on emotional engagement and content management.
Liu’s projects highlight the evolving responsibilities of producers in the micro drama realm. Moving away from traffic-centric storytelling, he has integrated audience insights, process optimization, and data evaluation into his work. His drama, “The Breakfast Beauty Wants a Divorce,” combines elements like marriage and female growth, achieving over 260 million views. Meanwhile, “The Puzzling Noble Groom” emphasizes psychological tension and character development, attracting 68 million views. These successes underscore a growing preference among viewers for narratives that prioritize authenticity over predictability.
While AI has made basic production processes more efficient and cost-effective, it cannot replicate the nuanced understanding of human emotions and societal dynamics. The industry is poised for a potential divide: AI-driven, low-cost, standardized content versus works with cultural significance and emotional depth. Liu suggests that the debate is shifting from whether AI will replace creators to identifying which forms of content remain unique and irreplaceable. Insightful producers who deeply understand human emotions and societal contexts will continue to create content that resonates on a deeper level, beyond the capabilities of technology.