Dimpled girl Preity Zinta, who established herself as one of the most prominent faces of Hindi cinema in the 2000s with a slew of successful movies such as Kal Ho Naa Ho (2003), Veer-Zaara (2004), Salaam Namaste (2005) and Kabhi Alvida Na Kehna (2006), is returning to spotlight after a five-year hiatus. Her comeback vehicle, titled Bhaiaji Superhit stars her as a mercurial, loud-mouthed woman Sapna Dubey, who does not trust people easily and can shoot a pistol at the drop of a hat.
Recently, our Mumbai correspondent, Mohnish Singh, got an opportunity to sit down with the actress at JW Marriot Hotel, Juhu. In this brief interview, Preity Zinta talks openly about her role in Bhaiaji Superhit, her experience reuniting with frequent co-star Sunny Deol, how Hindi cinema has changed over the years and who she would like to play on silver screen if offered a biopic.
Preity, you are making a comeback to films after a long time. What convinced you so much about this character that you could not say no to it?Were you nervous when you faced the camera after a long gap?
I was extremely nervous when I started shooting for this film because, throughout my entire career, I have always been offered roles which are very modern, very sophisticated and very educated. But no one ever offered me an out-and-out desi character with loads of shades. I think the only role where I played a cracker was Madhubala in Chori Chori Chupke Chupke (2001). Despite having many layers, you can see through her; it was that kind of a character.
Coming to Sapna Dubey, my character in Bhaiaji Superhit, it is very rustic and high-spirited. Initially, I was very concerned about her look in the movie. But after a series of discussions, we decided to use Varanasi’s handloom as much as possible in designing her outfits. We used a lot of Banarasi prints, Banarasi saris and fabrics. The most challenging part, however, was to catch the mannerism and body language of the character because Sapna Dubey comes from Varanasi. I worked a lot on the language. There is a certain way people of Varanasi speak. So I had to keep that in my mind while playing the part.
In the trailer of the film, we saw you mouth some extremely funny dialogues in English...
(Laughs) My character is very fond of English. Though she is a 12th fail woman, she believes her English is better than that of London’s queen. Let me tell you, incorporating that in my character was really challenging. Her dialogues have a lot of variation as well as humour. I had to prepare a lot to nail this. A lot of preparation was involved in getting that accent. I had to destroy my English to play this character (laughs). I have worked really hard on it. If I had to put it in a filmy-style, I have given my blood and sweat to this character and I hope people like it.
Preity, you have also been a very strong woman in real life. Do you relate to your character at all?
Sapna is not as strong as you think. She is very insecure. She has a lot of trust issues and that is why her catchphrase in the flick is ‘What the shak?’ Insecurity is something that ruins a person. Sapna is not a strategist. Whatever is there in her mind, she will blurt it out without worrying about consequences. Someone who is mouthy cannot become Chanakya. The same is with Sapna. She is a pure soul who does not take things to her heart. But, at the same time, she is somebody who is very mercurial. In a nutshell, Sapna is not at all like Preity. I am very straightforward like her and that’s where all similarities between us end. She is not structured like me.
You have known Sunny Deol, who is your co-star in Bhaiaji Superhit, for many years now. You did a couple of films with him in initial years of your career. How has he changed over the years, according to you?
He is still the man of very few words. He still dances the same way (laughs). Jokes apart, working with him is always a pleasure. He always brings home cooked food on sets. That has not changed at all over the years.
Talking about my relationship with him, I think I share a better equation with his younger brother, Bobby Deol. I have been his heroine as well. I don’t speak too much in front of Sunnyji. If there is one actor in my career who I did not talk to very much, it has to be Sunnyji. But in this film, I had a number of scenes with him. So I tried to kind of compensate that. Having said that, he is always Bobby’s elder brother to me. So we don’t share that informal relationship with each other. That casualness is not there. But I used to hover around him during lunch breaks because, as I mentioned earlier, he gets delicious home cooked food for lunch. That white butter and sarson ka saag... it’s delicious.
What kind of change do you see in Hindi cinema since you did your last film a couple of years ago?
Nowadays, everybody is talking about content-driven films. Everyone is saying that Bollywood has started producing more content-driven movies. Let me tell you, content-driven films have been there since the time of Mother India (1957). So there is nothing like that content-driven films have come into existence now. Even female-oriented films have been around for ages. The first film of my career was a female-oriented film. What difference I really see is that now there is a lot of pride about being an Indian. A lot of films are being made which centres on our own nation, our culture and our people. A lot of biopics are being made today. There is Dangal (2016), a film on women wrestlers; there is M.S. Dhoni: The Untold Story (2016), a film on a cricketer and there is also a film like Sanju (2018). So that is a change.
Audiences have changed a lot over the years. Social media has got a pivotal role in deciding the fate of a film. There is a lot more transparency in what are you doing and how are you doing. So that way the industry has definitely changed. Otherwise, there are still formula films which have always been there. You cannot change that. And there are still masala films. A lot of films which used to be shot in foreign countries have now started filming in India. Now we want to make movies about us; not about us in foreign countries but about us in our own country, and I think that is really nice.
If you are given a chance to star in a biopic, who would you like to play on silver screen?
See, biopics choose you, you don’t choose biopics. I don’t think Rajkumar Hirani could have gone to anyone else except Ranbir Kapoor for the part of Sanju. Ranbir looked like Sanju. So if I resemble any important person, then I would like to play her (laughs). For M.S. Dhoni: The Untold Story, the makers chose Sushant Singh Rajput because he looked like him. Suppose they would have chosen Rajkummar Rao for the part. Despite being such a phenomenal actor, he would not fit the role. So biopics choose you, you don’t choose biopics, I believe.
Also featuring Sunny Deol, Ameesha Patel, Arshad Warsi, and Shreyas Talpade, Bhaiaji Superhit hits cinemas on 23rd November.
AI can make thousands of podcast episodes every week with very few people.
Making an AI podcast episode costs almost nothing and can make money fast.
Small podcasters cannot get noticed. It is hard for them to earn.
Advertisements go to AI shows. Human shows get ignored.
Listeners do not mind AI. Some like it.
A company can now publish thousands of podcasts a week with almost no people. That fact alone should wake up anyone who makes money from talking into a mic.
The company now turns out roughly 3,000 episodes a week with a team of eight. Each episode costs about £0.75 (₹88.64) to make. With as few as 20 listens, an episode can cover its cost. That single line explains why the rest of this story is happening.
When AI takes over podcasts human creators are struggling to keep up iStock
The math that changes the game
Podcasting used to be slow and hands-on. Hosts booked guests, edited interviews, and hunted sponsors. Now, the fixed costs, including writing, voice, and editing, can be automated. Once that system is running, adding another episode barely costs anything; it is just another file pushed through the same machine.
To see how that changes the landscape, look at the scale we are talking about. By September 2025, there were already well over 4.52 million podcasts worldwide. In just three months, close to half a million new shows joined the pile. It has become a crowded marketplace worth roughly £32 billion (₹3.74 trillion), most of it fuelled by advertising money.
That combination of a huge market plus near-zero marginal costs creates a simple incentive: flood the directories with niche shows. Even tiny audiences become profitable.
What mass production looks like
These AI shows are not replacements for every human program. They are different products. Producers use generative models to write scripts, synthesise voice tracks, add music, and publish automatically. Topics are hyper-niche: pollen counts in a mid-sized city, daily stock micro-summaries, or a five-minute briefing on a single plant species. The episodes are short, frequent, and tailored to narrow advertiser categories.
That model works because advertisers can target tiny audiences. If an antihistamine maker can reach fifty people looking up pollen data in one town, that can still be worth paying for. Multiply that by thousands of micro-topics, and the revenue math stacks up.
How mass-produced AI podcasts are drowning out real human voicesiStock
Where human creators lose
Podcasting has always been fragile for independent creators. Most shows never break even. Discoverability is hard. Promotion costs money. Now, add AI fleets pushing volume, and the problem worsens.
Platforms surface content through algorithms. If those algorithms reward frequency, freshness, or sheer inventory, AI producers gain an advantage. Human shows that take weeks to produce with high-quality narrative, interviews, or even investigative pieces get buried.
Advertisers chasing cheap reach will be tempted by mass AI networks. That will push down the effective CPMs (cost per thousand listens) for many categories. Small hosts who relied on a few branded reads or listener donations will see the pool shrink.
What listeners get and what they lose
Not every listener cares if a host is synthetic. Some care only about the utility: a quick sports update, a commute briefing, or a how-to snippet. For those use cases, AI can be fine, or even better, because it is faster, cheaper, and always on.
But the thing is, a lot of podcast value comes from human quirks. The long-form interview, the offbeat joke, the voice that makes you feel known—those are hard to fake. Studies and industry voices already show 52% of consumers feel less engaged with content. The result is a split audience: one side tolerates or prefers automated, functional audio; the other side pays to keep human voices alive.
When cheap AI shows flood the market small creators lose their edgeiStock
Legal and ethical damage control
Mass AI podcasting raises immediate legal and ethical questions.
Copyright — Models trained on protected audio and text can reproduce or riff on copyrighted works.
Impersonation — Synthetic voices can mirror public figures, which risks deception.
Misinformation — Automated scripts without fact-checking can spread errors at scale.
Transparency — Few platforms force disclosure that an episode is AI-generated.
If regulators force tighter rules, the tiny profit margin on each episode could disappear. That would make the mass-production model unprofitable overnight. Alternatively, platforms could impose labelling and remove low-quality feeds. Either outcome would reshape the calculus.
How the industry can respond through practical moves
The ecosystem will not collapse overnight.
Label AI episodes clearly.
Use discovery algorithms that reward engagement, not volume.
Create paywalls, memberships, or time-listened metrics.
Use AI tools to help humans, not replace them.
Industry standards on IP and voice consent are needed to reduce legal exposure. Platforms and advertisers hold most of the cards here. They can choose to favour volume or to protect quality. Their choice will decide many creators’ fates.
Three short scenarios, then the point
Flooded and cheap — Platforms favour volume. Ads chase cheap reach. Many independent shows vanish, and audio becomes a sea of similar, useful, but forgettable feeds.
Regulated and curated — Disclosure rules and smarter discovery reward listener engagement. Human shows survive, and AI fills utility roles.
Hybrid balance — Creators use AI tools to speed up workflows while keeping control over voice and facts. New business models emerge that pay for depth.
All three are plausible. The industry will move towards the one that matches where platforms and advertisers put their money.
Can human podcasters survive the flood of robot-made showsiStock
New rules, old craft
Machines can mass-produce audio faster and cheaper than people. That does not make them better storytellers. It makes them efficient at delivering information. If you are a creator, your defence is simple: make content machines cannot copy easily. Tell stories that require curiosity, risk, restraint, and relationships. Build listeners who will pay for that difference.
If you are a platform or advertiser, your choice is also simple: do you reward noise or signal? Reward signal, and you keep what made podcasting special. Reward noise, and you get scale and a thinner, cheaper industry in return. Either way, the next few years will decide whether podcasting stays a human medium with tools or becomes a tool-driven medium with a few human highlights. The soundscape is changing. If human creators want to survive, they need to focus on the one thing machines do not buy: trust.
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