MAM
Manhattan Digital appoints Manish Srivastava as biz head-Digital
MUMBAI: Manhattan Digital, the digital arm of Manhattan Communications India, has appointed Manish Srivastava as business head – Digital.
Manish has over 10 years of work experience and is a veteran of the Digital industry . He has worked with companies such as Newswire18 , Bharat Matrimony.com and Sulekha.com In his last assignment , he was the Zonal Head West – Ad Sales for Sulekha.com.
Manhattan Communications co-promoter and director Shantonu Aditya said , “Our digital business is growing rapidly and Manish is the right person to drive the ambitious plans that we have set for ourselves . In a short span of less than 18 months, we have grown to become a one stop shop for all Digital services .With an Ad network ( Ethniconline network ) with over 1500 publishers , Video network – VuDo , Search, Social Media and ORM services and with offices in New York, London and Toronto and clients across the globe, we are very excited about the future.”
Srivastava said, “I look forward to driving the business to much higher levels from the present.”
Artificial intelligence is a topic that is frequently discussed in terms of “spectacle,” and this means that people tend to think about the images that have been produced, the voice that has been generated, and the predictions that have been made about the potential of machines replacing the jobs of creatives.. In reality, one of the most interesting shifts is happening in a less obvious part of the media world. AI is changing the hidden labor behind entertainment content, the practical work that happens before a story, promo, clip, or campaign reaches the audience.
That shift becomes easier to notice when looking at the daily routines inside production and marketing teams. A streaming release, celebrity interview, music launch, or television promo now has to live across many formats at once. Visual preparation, fast editing, asset cleanup, and image adjustments all matter more than they did a few years ago, and this is where tools connected to remove background fit naturally into the conversation. They show how AI has moved into the background of media work, where it helps shape the speed, consistency, and visual language of modern entertainment.
The Entertainment Industry Runs on More Than Big Creative Ideas
The end product that the public consumes is the finished product. They see a poster, a small image, a brief promo video, a still image, or a social media post. They don’t see the behind-the-scenes labor that goes into the preparation of this content. They don’t see the many different versions of the image that have been prepared for different websites, different mobile interfaces, different streaming interfaces, and different press kits.
This is when the practical application of AI comes in. It supports the repetitive visual tasks that used to absorb a large share of time. Background cleanup, subject isolation, formatting assistance, smart resizing, and automated enhancement may sound like small actions on their own, but together they shape how quickly a campaign can move from rough material to public release.
That matters because entertainment now works in overlapping cycles. A trailer leads to social clips. Social clips lead to stills. Stills lead to articles, banners, and platform previews. The same content needs to look strong in many places, often within very short time windows. AI helps teams keep up with that pressure without turning every routine step into a bottleneck.
Why the Real AI Story in Media Is About Volume
One of the least discussed pressures in entertainment media is volume. Teams are not simply making one good piece of content. They are creating families of content. A TV series launch today may require a homepage image, a vertical promo, a YouTube cover, cast portraits, article art, behind-the-scenes visuals, and platform-specific variants for regional distribution.
This is where AI has changed the economics of attention. The issue is not only whether a team can create a polished asset. The issue is whether they can create many polished assets without losing coherence. AI-powered assistance gives production teams more room to handle this expansion.
A few examples make the shift clearer:
● entertainment editors can clean and prepare supporting visuals more quickly
● promo teams can adapt image assets for multiple formats in less time
● digital newsrooms can publish faster when visuals need light processing
● branded content units can prepare sponsor-ready materials with fewer delays
This does not remove the need for designers or editors. It changes how their time is used. Instead of spending long hours on repetitive prep work, they can focus more on visual priorities, campaign tone, and platform fit.
That is one reason AI feels especially relevant in entertainment and media technology. This industry runs on deadlines, but it also runs on repetition. Any tool that reduces friction inside repeated tasks can affect output far more than it first appears.
AI Is Influencing Editorial Packaging
There is another angle that deserves more attention: AI is influencing how stories are packaged, not just how they are produced. In entertainment coverage, presentation has become almost inseparable from editorial reach. A news item about a show launch or creator deal may be accurate and timely, but its visibility often depends on the strength of its supporting visual format.
This means packaging is no longer a secondary layer. It is part of the editorial strategy. This is when the practical application of AI comes in. It is when the “packaging” of the content becomes easier because of the assistance that has been given in the preparation of the images.
The effect is especially strong in areas such as:
● OTT platform announcements
● celebrity and talent coverage
● music releases and promotional campaigns
● television show launches and event-based content
In these spaces, timing and visual readiness often define performance. This is why AI is useful: it helps close the gap between editorial intent and publishable execution.
This is also why AI is becoming part of the normal conversation when it comes to news promos. The discussion is no longer limited to futuristic experiments. It now includes ordinary questions such as how quickly a team can prepare artwork, how many visual versions they can test, and how consistently a campaign can be carried across channels.
What This Means for Smaller Media Players
Large entertainment brands have had access to more people and more production capability for a long time. AI is changing the game for small publishers, small studios, individual producers, and small entertainment brands. It’s providing them with something that will help their output compete from a visual standpoint.
That does not guarantee equal reach, but it does reduce some long-standing disadvantages. A smaller team can now handle certain visual tasks with greater speed and consistency. That makes it easier to maintain a strong publishing rhythm, support stories with polished assets, and react to trends before they fade.
This may be one of the most important consequences of AI in media technology. It opens room for more players to look prepared and credible in environments that once favored only the most heavily staffed organizations.
Still, there is a limit to automation. Taste remains human. Context remains human. Editorial judgment remains human. An AI-assisted asset may be technically clean, yet still feel generic, awkward, or tonally off. Entertainment audiences are sensitive to presentation, and poor visual instinct becomes obvious quickly.
That is why the strongest use of AI in this space is selective. Teams benefit most when they use it to handle structure, repetition, and first-pass execution, while keeping human attention on style, meaning, and consistency.
The Future of AI in Entertainment Will Feel Ordinary
The most lasting technology shifts usually stop feeling dramatic. They become normal. That is likely what will happen with AI across media production and entertainment publishing. Rather than being talked about as a novelty, it will be part of the normal infrastructure alongside editing suites, scheduling systems, media libraries, and content management systems.
The point to note is that AI is already affecting the labor that goes into modern entertainment. It is helping teams deal with scale, speed, and visual fragmentation. It is making it easier to transform one core idea into many usable assets. It is giving production and editorial teams more flexibility in moments when timing matters most.
From the outside, this may seem like a technical adjustment. Inside the industry, however, it is an even larger concept. It alters the way work is distributed, the speed at which ideas are pushed through the system, and the number of finished versions of the story that can exist at any given time. In an entertainment media environment that is characterized by constant publication, such an evolution cannot help but catch the eye.
The conversation about AI and technology in media and entertainment often veers into the realm of hyperbole. Perhaps the most telling approach, however, is the small print. The real revolution is happening behind the scenes, in the workflows, in the preparation of assets, and in the packaging of the work itself.
