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India: The World's Most Consequential AI Filmmaking Lab

May 4, 2026
India: The World's Most Consequential AI Filmmaking Lab

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India: The World's Most Consequential AI Filmmaking Lab

Approximately 80 percent of Indian films are already using AI extensively in production planning and visualization, according to The Hollywood Reporter's April 2026 investigation into the Indian film industry's adoption of generative tools. Production costs in mythology and fantasy genres have fallen to one fifth of traditional budgets. Production timelines in AI intensive projects have shrunk to a quarter.

The Scale of Adoption

EY analysis projects that AI could boost revenue for Indian media firms by 10 percent while cutting costs by 15 percent. The Hollywood Reporter described an industry with "no unions to slow the collision and scant regulation to cushion the aftermath". That phrase captures the structural difference between what is happening in India and what Hollywood's guilds spent years negotiating to prevent.

Bollywood film set in Mumbai with production crew and lighting equipment
Ravi Kumar, CC BY 3.0, via Wikimedia Commons

Abundantia Entertainment and InVideo

The largest structured commitment to AI filmmaking in India came from Abundantia Entertainment and video platform InVideo, which announced a $10 to $11 million partnership. The joint venture established an AI focused creative division called aiON, with five AI driven films planned over three years.

The first aiON production is "Chiranjeevi Hanuman: The Eternal", timed for Hanuman Jayanti and directed by National Award winner Rajesh Mapuskar. The film's soundtrack is attributed to Trilok, announced as the world's first AI powered band. A second title, "Jai Santoshi Mata: Sukh Sampatti Daata", is also in development under the same division.

Mythology as the Test Case

The concentration of AI projects in Hindu mythology and fantasy genres is not incidental. Visual effects heavy deity stories are expensive to produce through traditional means, making them the category where AI cost reductions translate most directly into feasible production.

Collective Media Network, the Bengaluru studio operating under the Galleri5 brand, is developing eight AI generated titles based on figures including Hanuman, Krishna, Durga, and Kali. Studio Head Rahul Regulapati has stated that "AI is slashing production costs to one fifth of what they used to be". That figure applies specifically to visual effects heavy genres. Dialogue driven drama productions remain closer to traditional costs.

The First Fully AI Generated Indian Feature

Director Vivek Anchalia spent 1,500 hours producing "Naisha", described as India's first fully AI generated feature film. Set design, costume design, and characters are entirely AI generated. The film was originally scheduled for May 2025 but Anchalia delayed it repeatedly to incorporate advances in AI tools, pushing the release to June 2026.

The delay reflects a dynamic common in early AI production: the tools improved fast enough that completed scenes looked dated by the time the film would have shipped.

PVR Lulu cinema multiplex in Lucknow, India showing moviegoers at the entrance
Pooja.sirsat26, CC BY-SA 4.0, via Wikimedia Commons

JioStar and Streaming Scale

The streaming platform JioStar released an AI generated adaptation of the Mahabharat that recorded 26.5 million views since its October debut. The viewership figure is significant because it demonstrates audience willingness to watch AI generated content at scale, not just as a production experiment.

The numbers suggest that AI generated content finds its earliest audiences where it enables stories that would otherwise be prohibitively expensive. India's mythology genre is one example. Regional language cinema, which has long struggled with traditional production costs, is another.

An Industry Without the Guardrails

The comparison to Hollywood requires a specific caveat. The SAG-AFTRA four year agreement reached in May 2026 established consent and compensation requirements for digital replicas and imposed restrictions on synthetic performers in union productions. India has no equivalent structure.

India's February 2026 IT Amendment reduced the required takedown time for AI deepfakes from 36 hours to three hours. That is an intervention at the distribution end, targeting harmful content after it reaches audiences. It is not a production framework regulating how performers are replicated or whether AI generated characters require consent.

China's AI production sector has followed a similar pattern of rapid adoption with a different regulatory architecture. Japan's anime industry built AI assisted workflows incrementally over a decade, representing a third model. Indonesia's independent studios adopted AI tools primarily as a budget solution, without a union framework shaping the terms.

Times of India noted that "acting, emotion, life experience, and cultural nuance remain the domain of human artists". India's AI production boom does not directly contradict that observation. What it demonstrates is that the parts of cinema not requiring those qualities are now fully addressable by AI tools at one fifth of traditional production costs. Filmmakers working with AI FILMS Studio can test those tools directly, with full visibility over what is generated and what is human.


Sources

The Hollywood Reporter | Variety | Gulf Business | Japan Times | The Business Standard