When learning to fly, there are special moments when the exhilaration of flying gives way to tougher questions. “Where exactly are we going?”
The Indian creative industry is now living the moment with AI video. In a surprisingly short time, we mastered our first thrill: lift-off. Brands across sectors have discovered that AI can compress production schedules from weeks to hours, generate content variations at a fraction of traditional costs, and boost production at scales that would have been unthinkable just three years ago.
That’s impressive. It’s also just the beginning of the real work.
Because producing more content faster is not the same as building a stronger brand. And in our conversations with marketing leaders across India, we increasingly see that this gap between the two is where the next chapter in AI video leadership will be defined.
Chapter 1 completed
India’s appetite for videos is staggering. There are over 700 million internet users in the country, and video accounts for the majority of data consumed across all device categories. Platforms from YouTube to Instagram Reels to regional OTT players like Aha and SunNXT have made Indian viewers expect not just content, but content that speaks to them. In their language, their background, their cultural environment.
AI came along and did what it does best: remove friction. The production cost of the 32nd branded film has come down. The time from briefing to first cut has been reduced. The ability to simultaneously produce language variants across Hindi, Tamil, Telugu, Bengali and Marathi has gone from a logistical nightmare to a viable reality.
This is the first chapter and the Indian brand ecosystem should be proud of how quickly this chapter was written.
But Phase 1 was primarily about efficiency. The real change today is not about increased efficiency. It’s intelligence.
Gap that cannot be filled with scale
If you look at how most brands are deploying AI video today, you’ll see: It’s a collection of disconnected tools that do disconnected jobs. One platform to generate scripts. Another production visual. The third optimization is for a single channel. 4th edition with subtitles. And somewhere in between is a creative team trying to pull a brand together through pure handcraft.
This is what pilot purgatory looks like in video production. There is a lot of AI experimentation going on, but there is no unified operating model to govern it.
And that comes with a hidden cost that rarely shows up in production budgets: brand drift.
When AI tools operate without a unified creative framework, the output can be both technically competent and aesthetically inconsistent. The primary colors vary slightly from market to market. The tone of your voice unintentionally oscillates between formal and casual. The emotional anchor that makes a brand recognizable through a 30-second video in Tamil Nadu and a 90-second video in Maharashtra is quietly eroded with each run.
Scale, no matter how impressive, becomes the enemy of identity if it is not deliberately managed.
Orchestration as an operational standard
The shift that India’s most advanced marketing leaders are beginning to undertake is from treating AI as a production tool to treating it as a creative operating model. These are fundamentally different things.
Production tools perform tasks. The operating model governs how every task relates to every other task and how it relates to the brand at the center of it all.
In practice, this means an integrated environment where a brand’s visual language, linguistic identity, cultural positioning, and platform logic are built into the AI workflow from the beginning, rather than being reviewed post-production. This means that if a creative team produces a 30-second video for an urban audience in Delhi and a regional version for a semi-urban audience in Coimbatore, both come from the same management system and are adapted to embedded cultural nuances.
At Gutenberg, this is exactly the change we focused on when we rebuilt our own operating model, redesigning it around cross-functional pods where strategy, creative, and production work as an integrated system rather than separate handoffs. This principle applies equally to how brands think about AI video. Speed, scale, and governance work together rather than in tension.
It also means taking language seriously as an identity, not just a translation. India is not a single market that speaks many languages. There are many markets, each with its own rhythm, humor, aspirations and relationship with the brand. AI that flattens this into linguistic interchangeability will not serve the Indian audience. Through properly trained models, culturally aware prompts, and human editorial oversight, AI that respects that becomes a real competitive advantage.
A new kind of creative leadership
Reaching this standard requires something that AI systems alone cannot provide: a new kind of creative leader.
The skills, strategic instincts, storytelling techniques and cultural fluency that have built India’s best branded films over the past two decades remain essential. What changes is the operational context in which those skills must function. We need to unlearn in order to learn. Tomorrow’s creative leaders in India will need to think about systems, not just individual execution. Not just in your campaigns, but in your content architecture as well. It’s not just about what your brand says, but how that statement applies across all branded platforms, all languages, and all AI-generated variations.
This is no smaller job than the one it replaces. It’s more demanding.
The important thing is that you don’t have to choose between creative ambition and technical ability. The most compelling AI video work to come out of India in the past year, and the work we’re building at Gutenberg through AI Motion Studio, combines human-driven creative judgment with AI-powered execution. Human creativity shapes ideas. AI expands its reach, speed, and adaptability. A team is like a family: we are stronger when we are united, and weaker when we are in silos.
The road ahead
India is well-positioned for this next phase. Creative talent is here. The audience’s appetite is here. Multilingual, mobile-first, multi-platform infrastructure is built for this orchestration challenge in a way that more homogeneous markets cannot.
What we need now is a willingness from marketing and brand leaders to move beyond the question of “How much can we produce?” “How can we build consistently and meaningfully?”
This shift in question is truly the next frontier in AI video leadership in India. There is no further content. It’s not fast content. But content builds brand equity in every execution because every execution is governed by the same intelligence, the same cultural understanding, the same creative beliefs.
The first chapter was about learning to fly.
The next challenge is to understand where you’re going through consistent, culturally relevant storytelling with speed, scale, and governance to ensure that every piece of content brings your brand one step closer.
(Views are personal)
