'Chalte Chalte': Revisiting the turbulent tale behind the film twenty years later
What happened behind the scenes was perhaps even more compelling, with everything from a fight to fractured relationships and an explosive aftermath
By Asjad NazirJun 08, 2023
When Chalte Chalte was released on June 13, 2003, it became a big success and received attention for everything, from the relatable story of a married couple facing difficulty to shooting parts of the movie at eye-catching locations in Greece.
But what happened behind the scenes was perhaps even more compelling, with everything from a fight to fractured relationships and an explosive aftermath. To mark the 20th anniversary of Chalte Chalte,Eastern Eye revisited the turbulent tale of a film that had high drama during production and left a destructive domino effect behind.
The 1992 film Raju Ban Gaya Gentleman turned newcomer Shah Rukh Khan into a star, launched Aziz Mirza as a director and established Juhi Chawla as an A-list actress. The talented trio formed a firm friendship and teamed up for the successful 1997 romantic comedy Yes Boss. They then jointly launched the production company Dreamz Unlimited with the unsuccessful film Phir Bhi Dil Hai Hindustani (2000), with Shah Rukh and Juhi playing the lead roles, and Mirza directing.
Historical epic Asoka (2001) then failed at the box office, so a lot was riding on their next venture as producers, Chalte Chalte. Juhi Chawla stepped back from playing the lead role, and that triggered a remarkable turn of events.
Rani Mukerji was approached to play the lead role but declined due to a busy schedule and the plot being similar to her hit film Saathiya (2002). Meanwhile, Aishwarya Rai had established herself and was cast in the lead role. Having scored a big success opposite Shah Rukh with smash hit movie Devdas (2002), it was seen as the perfect casting coup.
Rai had started up what had turned into a volatile relationship with Salman Khan on the sets of Hum Dil De Chuke Sanam (1999) and by 2002 they had broken up. But it seemed as if Salman wasn’t willing to accept the split.
Work commenced on Chalte Chalte, but very early on in the shooting, Salman burst onto the set and caused chaos. Although no one knew what exactly happened that day, there were various reports including him being abusive and even beating up the film’s lead star and producer Shah Rukh.
Shooting for the movie came to a halt and Rai was fired as the leading lady. Kajol turned down the opportunity to replace her and Mukerji stepped in.
The movie was completed and despite subtle similarities to Saathiya, the story of a couple facing marital problems became Shah Rukh’s first success as a producer. Eye-catching locations in Greece were presented in a Bollywood film for the first time and the make-up worn by Mukerji became a rage.
But the Chalte Chalte story didn’t end there.
a poster of the movie
While Rai’s rift with Salman became permanent, any friendship she had with Mukerji and Shah Rukh got destroyed.
Years later, Rai revealed how the whole incident had left her confused, hurt, and completely taken aback because she had been removed from subsequent films with Shah Rukh, including Veer Zaara.
She had said: “Yes, at the time, there was talk of a couple of films that we would be working in together. And then, suddenly they weren’t happening, without any explanation whatsoever. I have never had the answer to why.”
Shah Rukh would later express regret about the whole incident, but said his hands were tied as a producer and he needed to get the movie finished on time. He had said: “I’m personally very saddened at the fact, as Aishwarya was a very close friend and I have done some really marvellous films with her, and we get along really well. Personally, it’s very saddening for something to reach this level. I feel very sorry about it.”
Similarly, Shah Rukh wouldn’t speak to Salman for many years.
There was also a secondary fall-out because Salman’s brother Sohail Khan went from potentially getting a career changing break in Main Hoon Na to being replaced by Zayed Khan.
Vivek Oberoi had started dating Rai, which meant that he lost out on plum projects involving Mukerji like Hum Tum. Salman would also make life difficult for Oberoi, who eventually broke up with Rai, but couldn’t stop his promising career from imploding, after getting caught in the Chalte Chalte crossfire.
Even though Chalte Chalte was a success, Shah Rukh decided to end his partnership with Chawla and Mirza by folding Dreamz Unlimited. He instead started his own production company Red Chillies Entertainment, which would become hugely powerful. Despite starring in Mirza’s first four films as a director, the actor would never work with him again.
As time progressed, the stories associated with Chalte Chalte, triggered by Salman invading the sets became legendary. Shah Rukh would eventually make up with Salman, but then have another epic fight with him years later and then finally become friends again. They both recently shared screen space in Pathaan.
While film fans will celebrate Chalte Chalte on its 20th anniversary this week, there are many associated with it in some way who likely won’t want to remember all the drama that happened during its production and the subsequent fall out.
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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