Abundantia Entertainment is taking its artificial intelligence division aiON toward a standalone studio structure, placing AI-assisted production at the center of a formal film business rather than treating it as a side experiment. The unit is being developed to produce and support fully AI-generated projects as well as hybrid films combining live action with AI workflows. Founder and chief executive Vikram Malhotra will continue to lead the initiative while it builds a distinct identity inside the wider company. The first slate is expected to begin rolling out in the first quarter of 2027, giving the announcement a defined production horizon instead of an open-ended technology promise. The move will be closely watched because it connects established Hindi film production experience with one of the industry’s most contested new tools.
A human-first strategy seeks to answer creative concerns
aiON describes its method as human-first and AI-empowered, language designed to keep authorship and creative judgment at the center of the process. That emphasis matters because filmmakers, performers and craftspeople are debating where automation supports work and where it may replace or imitate it. The studio intends to integrate AI from research to screen, which could include development, visualization, production planning, post-production and entirely synthetic imagery. The real test will be whether those tools expand the range of stories that can be produced while preserving clear responsibility for decisions, consent and credit. A human-first promise becomes meaningful only when contracts, workflow documentation and final screen credits show how writers, actors, designers and technicians participated in each project and approved uses of their work.
The new structure follows aiON’s launch one year ago and Abundantia’s partnership with invideo on five AI-driven films over three years. A standalone identity can give the division clearer budgets, leadership priorities and technology relationships. It may also make performance easier to evaluate because projects can be measured against a dedicated slate rather than absorbed into conventional output. Abundantia brings experience from films and streaming series including Baby, Airlift, Shakuntala Devi, Sherni, Chhorii, Breathe and Daldal. That production history gives aiON access to development and distribution knowledge as it tests new methods. Technical speed will not eliminate the need for taste, financing, audience research or a producer’s judgment about which ideas deserve sustained investment and which experiments should remain demonstrations.
Why total capability is a significant claim
The phrase total-capability movie studio implies an ambition beyond isolated effects or short promotional pieces. It suggests the ability to originate material, package talent, finance production, complete films and take them to audiences. AI tools may lower some costs or accelerate iteration, but they do not automatically solve questions of performance, rights or market demand. A studio still needs collaborators who can turn an idea into coherent screen storytelling. India’s multilingual market makes the experiment relevant because translation, dubbing, localization and versioning are areas where AI may help producers serve audiences across regions. The same diversity also makes careless automation risky, since a workflow trained on generic patterns could flatten cultural detail, misread language nuance or reproduce existing biases across communities.
Business transparency will matter as much as creative novelty. Producers need to know which models are used, what material trained them and whether outputs can be cleared for theatrical and streaming distribution. Insurers, distributors and performers will ask how the studio manages likeness, copyright and future reuse. These questions can slow production if they are left until the end. Building policy into development may therefore become one of aiON’s most valuable capabilities. A professional AI studio is not simply a room with powerful software. It is a system for documenting choices, assigning accountability and protecting the people whose work gives a project its emotional value. The 2027 slate will show whether that infrastructure exists behind the announcement.
The 2027 slate will turn debate into evidence
If the films demonstrate distinctive ideas, disciplined craft and transparent creative ownership, aiON could show how new tools belong inside a professional production system. If the work feels derivative or opaque, the initiative may reinforce fears that technology is being valued above storytelling. Industry groups will examine performer likeness, writer attribution, source material and workforce participation. The expansion does not prove that AI-led films will succeed commercially, but it creates a laboratory with recognizable leadership, a schedule and an experienced producer. That is why the aiON plan matters: it will move the argument from presentations and demonstrations into finished films that audiences, creators and competitors can judge. The first releases will carry the burden of defining what human-first actually means on screen.
PUBLISHED BY SUYASH PACHAURI, FOUNDER & OWNER, GLOBAL BOLLYWOOD | THE HOLLYWOOD SCOPE