Model and television personality Jasmin Walia took a marvellous musical turn this year with two tracks including her new solo release Girl Like Me.
The songs showed off her singing abilities and laid the foundation for what will potentially be a successful career in music. With a number of avenues open to her and armed with a big singing voice along with dynamite sex appeal, the British bombshell is looking forward to showing off her musical range and working with big names in the industry.
Eastern Eye caught up with Jasmin to talk about music, future plans and more.
Was pursuing a music career always a part of the plan?
Yes, it has always been my original plan. I loved music from before I did any TV and have always had a great passion for it. Doing television was a great platform to hopefully get me closer to achieving my goals. (Laughs) It’s hard work, but I don’t give up easily. I believe if you want something, work your hardest to get there and that is exactly what I am doing with music.
What made you finally take that leap into music?
I have been planning my music for a while, like I said. I had been in the studio while I was doing my TV work. I think releasing (my debut song) Dum Dee Dum was the leap into music. I just felt it was the right time for me. Obviously I left the TV show I was doing to also pursue music.
What has the experience of releasing the two singles been like?
(Smiles) It has been very exciting, but nerve-racking at the same time. But it’s a great feeling when you see people enjoying your music and that brings me so much happiness. I feel like a lot of people think that just because I have done TV, I’ve literally just decided to sing, which is so far from the truth. I had planned what I wanted to do musically even before I started television. I have had a lot of support already from the first two releases, which I am very grateful for and I just want to keep it going.
How did you decide on the kind of sound you wanted to opt for?
I didn’t plan on any particular sound. If I like the song, I just go with my heart. Like recently, I am loving the Era Istrefi song Bonbon and I don’t even understand what she’s saying. Music nowadays is very open-minded and eclectic.
What has been the highlight of your musical journey so far?
The highlight so far was releasing Dum Dee Dum and the success of the single. I also loved performing on BBC Asian Network live at Hammersmith Apollo.
Who is the most interesting person in music you have met so far?
It has to be Zack Knight, who has supported me as a musician, but most importantly, as a friend. He is one of the most hardworking artists I know and to see his journey from the inside was insightful and inspiring.
What is the musical master plan going forward for you?
The master plan is to make music my full-time job. Being in the studio and performing in shows around the world is a lot of fun and rewarding at the same time.
Which of your unreleased songs would you say you are most excited about?
I am working with some great people so I am excited about all the music we are creating. But if I had to choose one, it would be the song Temple.
Who would you love to collaborate with?
There are so many great artists around the world who I would like to work with. I also think that a collaboration with a Bollywood playback singer would be interesting.
Can you see yourself singing in Hindi in the future?
Music offers up endless possibilities, so yes, who knows. If it is interesting and I think I can do justice to it, then I am open to singing in any language.
Which track do you love dancing to?
(Laughs) I love dancing so I can give you a whole playlist if you want. Work by Rihanna is definitely one of my favourites to dance to.
Which is your karaoke song of choice?
It would be Dangerous Woman by Ariana Grande. I just love that song.
What else do you have on the way away from music?
I have just filmed an exciting new ITV show that should be out soon. I am looking forward to that. There are other projects, but I will talk about them when the time is right.
You always look incredible. What is your secret?
(Smiles) Thanks for the lovely compliment. I look after myself a lot. I have been meaning to do a YouTube video about some of the products I use and fitness regimes. I need to do one quickly.
Are you currently single and what does a guy need to do to impress you?
Yes, I am single. He needs to stand out, be unique and have the same drive and passion as me, for us to work.
What are your some of your big non-music passions?
I have a huge passion for style and fashion, and I really want to create my own beauty line.
Finally, why do you love music?
I love music because I get to tell my own story and inspire others at the same time. That is why my new song Girl Like Me is all about girl power.
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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