AI is starting to change what cinema is. From AI-assisted pre-production to experiments like JioStar’s AI Mahabharat clocking millions of views, the technology is ushering the film industry into an entirely new medium. So, will AI democratise storytelling?
A New Medium: For years, filmmakers treated AI as a backstage utility for storyboarding, dubbing and VFX cleanup, but rarely central to the creative process. This has now changed. Studios and creators are now using GenAI systems to build entire scenes and worlds that would once have been too expensive or technically difficult.
Startups Fill The Gap: AI startups, too, are carving out a niche in filmmaking by building AI-native studios, tools, and infrastructure that go beyond traditional production workflows. This has enabled faster iteration, lower costs, and entirely new storytelling formats designed specifically for scalable cinematic experiences.
The Shifting Economics: The deeper disruption is economic. Epics, fantasy worlds, war sequences, and stylised cinematic universes have traditionally demanded huge budgets, large crews and long timelines. AI is beginning to compress those constraints, lowering the cost of experimentation and making storytelling more accessible to smaller studios and independent creators.
The Caveat: But cheaper does not mean effortless. AI-native productions still require compute, proprietary workflows, middleware, refinement, and human oversight. In many cases, the biggest expense remains people, not models.
Need For Human Control: Even as generative video matures, the hardest problems are consistency, controllability, and cinematic coherence. Studios still rely on directors, editors, VFX artists, and production designers to preserve intent and quality. This is why the emerging model appears to be hybrid – AI is expanding scale and flexibility, while humans retain authorship and judgement.
As studios build AI-native pipelines and platforms, will the next era of Indian cinema be defined by who can orchestrate the story? Let’s find out…
Voice AI may be booming, but its weakest link lies beneath the surface. The underlying telecom infrastructure struggles with latency, routing, and reliability at machine scale. Vobiz.ai is betting that fixing this invisible layer will define the next phase of voice AI.
Vobiz’s Telecom Stack: Founded in 2025, the Bengaluru-based startup is creating an AI-first telephony infrastructure layer. At its core is a single-hop architecture designed to minimise latency and improve call quality. The platform offers programmable APIs and AI-optimised routing to dynamically route workloads to balance performance, cost, and language needs.
The AI Edge: Vobiz.ai embeds AI to offer a host of features, including handling noise suppression, echo cancellation, packet routing, and spam detection. On the back of this, it claims to have reduced telephony latency to under 80 milliseconds (P95), a critical threshold for maintaining natural conversations between humans and AI agents.
All Set For Production: Since launching in late 2025, the platform claims to have scaled from 1 Lakh monthly calls to over 10 Lakh daily calls, with 98% customer retention. While early traction came from voice AI startups, enterprises across fintech, logistics, and real estate are now adopting the platform as voice AI moves into production.
As voice AI matures, can Vobiz.ai quietly become the backbone of scalable AI communication in India?
India’s luggage market is now packed with everyone from legacy leaders to fast-growing D2C challengers. From Safari to Mokobara, which luggage brands are trying to define the modern Indian traveller?
Source: Inc42 - Startups
