Mohalla Tech, the parent company of ShareChat, Moj, and QuickTV, plans to invest up to Rs 100 crore in 2026 to scale AI-generated micro-dramas, aiming to lift AI-driven content from about 10% to 30-40% of the catalog by year-end.

The investment targets closing the quality gap between AI-generated and live-action content to improve viewer completion rates by roughly nine to ten percentage points, signaling a move to bridge the AI-live-action divide.

AI-generated content is currently around 10% of the micro-drama catalog but is expected to reach 30-40% by the end of 2026, contingent on audience response and production economics.

The six August titles span epic fantasy, historical action, drama, and folklore, featuring protagonists who gain or conceal extraordinary abilities while navigating kingdoms and communities.

Beyond capital, the plan hinges on faster iteration and model improvements, with August’s six-title slate acting as an early signal toward faster AI-live-action quality gains and a stronger IPO narrative.

The slate builds on the AI-assisted success of Main Amar Hoon and includes Pashu Samrat, Badshah Benaqab, Port Ka King, Odiyan, Jadugar Rajkumar, and Hamari Lucky Jia, each with distinct genres and premises.

Main Amar Hoon demonstrated a hybrid workflow combining live-action, motion capture, VFX, and generative AI to enhance storytelling without replacing creators.

Vertical micro-dramas are driving engagement in India, with daily time spent and episodes watched per user rising sharply as audiences embrace the format.

Since integrating Quick TV’s micro-dramas into Moj and ShareChat, vertical content has boosted daily engagement metrics and improved exposure-to-engagement ratios.

Engagement metrics show Moj’s daily time spent doubling, ShareChat up about 35%, and exposure-to-engagement rising from roughly 45% to over 74%, with average episodes per user per day >80.

Mohalla Tech leverages ShareChat’s 15-language regional reach and a localized recommendation engine to retain non-English, non-Hindi audiences more effectively than rivals reliant on distribution power alone.

AI is increasingly used behind the camera to cut costs about 40% versus traditional shoots by reducing crew, locations, and scheduling needs, with AI-generated Quick TV episodes showing strong completion rates around 50%.