Bhangra dominated the British Asian party scene for decades and then it all changed with the rise of Bollywood club nights, which have now become more popular.
Hindi film music-led parties happen all over the UK every week and one of the lead organisers is Bollywood-themed events company Bombay Funkadelic, which was set up by Jaspreet P Bajaj in 2005.
The die-hard Bollywood fan has turned her passion for Hindi music and movies into a successful business offering diverse events.
Eastern Eye caught up with Jaspreet to find out more about the rise of Bollywood party nights and her forthcoming events.
What first got you connected to organising parties?
In 2001, I was freelancing as a Bollywood writer-researcher. At that time, the Bollywood party scene had only just kicked off in London. I was asked to create a Bollywood quiz night, which was a hit. Spotting the demand, I set up Bombay Funkadelic and started hosting Bollywood quiz and karaoke nights, but later shifted to monthly club nights.
How would you describe your journey with Bombay Funkadelic?
The journey has been life-changing. What began as a hobby eventually turned into a full-time career. I never thought I’d be an entrepreneur and run my own business. It’s an achievement I’m proud of. Now everyone knows me as the go-to person for an authentic, bespoke fun Bollywood-themed party.
Tell us about the various parties you organise?
I organise two Bombay Funkadelic club nights in London each month. I promote and host these parties along with DJ Shai Guy who has been Bombay Funkadelic’s resident DJ and co-host for 10 years. I also organise Bollywood-themed private and corporate parties throughout the year, including engagements parties, birthdays, anniversaries, gala dinners, product launches, Bollywood movie releases, Diwali, Eid, Christmas celebrations, and more.
What is the biggest challenge of organising a great party?
The single largest challenge in London right now is securing venues. While there are a wide variety of locations, not all allow ticketed parties or can cater for large numbers.
What according to you makes for a great party?
Having a fun, relaxed atmosphere is key. Good music, a nice selection
of food and drinks, plus a welcoming host. There’s nothing worse than a party where the music is outdated or guests look bored. Location with good transport links is also crucial.
How do you set yours apart from other Bollywood nights?
Our team tries to give Bombay Funkadelic parties a personal touch. We greet guests and get on the dance floor with them. Shai is great at playing music requests, one of the few DJs who do on the Asian club scene. More recently, we’ve introduced themes into our parties, so that guests can have fun dressing up. We have many regulars who attend our parties, which must be a sign we’re doing something right!
What has been the most memorable party you have organised?
Our very first Big Bollywood Boat Party on the Thames four years ago. Boats are expensive to charter and tricky to manage, particularly when you have 250 merry guests sailing from Westminster to Greenwich. It was a mission trying to get people to turn up to the pier on time! Our boat parties have since become a very popular annual fixture.
Tell us, what do you have on the way in August?
We get requests for daytime and outdoor parties, so we’re trying to offer both elements. On August 10, we have Summer Sundown at Anise Bar, offering live music outside on the terrace from 8 pm, followed by a DJ-led party in the bar till 3 am. On August 25, we head to Pitch in Stratford, East London for Bollywood Summer Fest II. That’s an all day party from 3-10 pm with live music, DJ sets, outdoor cinema, street food, carom and ping pong. There’s also an after party running till 2 am.
Why do you think Bollywood-led parties are so popular?
Bollywood movies and music have been popular among the Asian diaspora. Whether you’re British-born or a non-resident Indian, Pakistani or Bangladeshi, we all enjoy listening and dancing to film songs. They keep us linked to our culture in a fun, accessible way. Plus, Bollywood parties give you a damn good workout!
Why do you love what you do?
Bombay Funkadelic allows me to be creative, public-facing and flexible in my work and personal life. I enjoy socialising, hosting and anything to do with Bollywood, so it’s the perfect fit for me. You can see how much fun it is by checking out the party photographs and videos on our website and social media platforms.
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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