Mahavatar Narsimha Trend: Will AI Ruin Mythology?

Abundantia Entertainment and Collective Media Network have announced their ambitious project, an AI-driven animated film titled Chiranjeevi Hanuman-The Eternal. Many users on social media are already comparing it to the superhit Mahavatar Narsimha.

The film is scheduled for release on Hanuman Jayanti 2026. It is being hailed as a landmark in Indian cinema, not only for its mythological subject but also for the innovative technology used in its making.

Produced by Vikaram Malhotra and Vijay Subramaniam, the film aims to retell the legend of Lord Hanuman through a fully AI-generated, “Made in India” approach for theatrical release.

Many critics and fans believe Bollywood producers are quickly tapping into the mythological trend, especially after the massive success of Mahavatar Narsimha.

The industry has seen this before, where producers chase proven formulas in hopes of capitalising on popular audience trends. While mythological fiction is reviving cultural interest, concerns remain that oversaturation could dilute its impact.

What makes Chiranjeevi Hanuman stand out is its extensive use of artificial intelligence. From scriptwriting to visual effects and character rendering, AI is driving every part of the production.

This move has triggered strong debate. Artists and creative professionals argue that excessive use of AI threatens not only their livelihoods but also the human spirit of filmmaking.

Filmmakers worldwide are questioning whether AI can handle projects that demand creativity, emotional depth, and human imagination. Many feel storytelling loses its essence without human touch.

For producers and studios, however, AI offers a faster and more cost-effective solution to deliver massive productions. It allows them to explore grand mythological narratives that would otherwise demand huge resources.

Ultimately, the success of Chiranjeevi Hanuman will depend not just on box-office performance but also on whether AI can enrich mythological storytelling without reducing cultural heritage to a digital algorithm.