Suchandrika Chakrabarti: Scrolling through the funny side
This UK Stand-up star selects her career highlights
By Asjad NazirAug 16, 2024
WHETHER it has been writing for radio and TV or delivering special solo stand up shows, Suchandrika Chakrabarti has provided plenty of laughs since she found her comedy calling in 2020.
The top British talent, who also runs a monthly comedy night, has followed up her acclaimed show I Miss Amy Winehouse with the equally loved Doomscrolling, which she is taking to this year’s Edinburgh Fringe. Doomscrolling has delighted audiences around the UK and sees her tackling the online era in a fun way.
Eastern Eye got the British Asian talent to select her top 10 standout moments from what is proving to be an action-packed comedy career.
End-of-course show: I’d always loved watching stand-up, but never thought I could do it. And as a busy newsroom journalist, I didn’t have time. By January 2020, I was freelancing and decided to give stand-up a go with a comedy course at the Bill Murray in London. The end of-course show, which took place at the venue in late February 2020, was an incredible gig and gave me this feeling I wanted to chase.
Comedy competitions: In summer, 2020, when I entered the world of live comedy it had ceased to exist (due to lockdown). I could take it personally, or just be glad that I had the video of my set from the end-of-course show, which would give me some comic momentum. It got me onto online gigs, into the Funny Women Stage Awards (I came away a semi-finalist and ‘one to watch’) and into the British Comedy Guide Pro Performance Award (as a finalist).
Writing for radio: I began writing for Radio 4 in September 2020, first on The News Quiz, and then on The Now Show (RIP). It was a wonderful opportunity to sit in a writer’s room with very accomplished and talented people and come up with jokes based on the week’s news with them. Working on the shows introduced me to the value of collaboration. My former career also came in handy.
Suchandrika Chakrabarti's show 'Doomscrolling'
Writing my first Edinburgh show (May 2021): I quickly reached a point where a five-minute comedy set was restrictive. But that is the basic currency of comedy at the earlier levels. Frustrated by this, I set myself the task of writing my first Edinburgh show in a month, and booked myself into Brighton and Camden Fringes to make sure I did it. The result was my debut comedy hour, I Miss Amy Winehouse, a show about the solutions for grief, which I ended up taking on tour until November 2022.
My first international comedy festival (July 2022): I kept working on I Miss Amy Winehouse through the year, taking it to audiences around the country, and, in one memorable week, to Amsterdam for the Boom Chicago Comedy Festival. It was exciting to be invited to perform at a festival outside the UK. I got to do my show in an old theatre, with a welcoming crowd who love their English-language comedy.
Full Edinburgh Fringe run: I took I Miss Amy Winehouse for the whole month of Edinburgh Fringe 2022. It was an incredible experience, performing my hour-long show every day. I learnt a lot about myself as a comedian, about my ability to improvise and how an audience of four can sometimes laugh louder than a fuller venue, if the chemistry is working. There were other lessons about partying, going big on karaoke and needing suitcases full of throat lozenges, which I needed to learn.
First sell-out show: In July 2022, I started writing my current show Doomscrolling, in which I try to explain the news and our chronically online era to my five-year-old niece. By February 2023, I had my first sold-out show at VAULT Festival (RIP) in London. Writing a comedy show about the news machine, I was initially tempted to keep the content very topical, but that doesn’t work with the long lead times of a solo show. I realised that Doomscrolling has more impact when it’s based around my relationship with my niece.
Writing on Have I Got News For You (HIGNFY): In March 2023, I found a different outlet for my topical comedy, writing on a BBC One TV show I’ve been watching since childhood. As much as I love creating my solo shows, there is nothing like a writer's room, especially with more experienced writers who guided me through picking up HIGNFY’s tone. It was an incredible moment when I first saw my name in the iconic end credits. I’m intrigued to see how a change of government affects the writer’s room.
Running a comedy night in London: The downside of starting stand-up comedy during lockdown was that it took much longer to meet collaborators and make friends. I launched a monthly comedy club in north London in November 2023, called Good News/Bad News (relaunching as Mock The Month this October). It’s been a great way to work with other stand-ups, character comedians and clowns. As the host, I’ve tried character comedy and improvisation, moving away from my tendency to lean on pre-written scripts, and to embrace the unpredictable joy of live comedy.
Doomscrolling – Fringe 2024: I’m taking my second solo comedy hour, Doomscrolling to the Edinburgh Fringe, with shows starting on Thursday (15). I’m really excited about performing this through most of August. It’s a silly show filled with real, absurd headlines and cute characters. You even get to hear a bit from my small niece. It’s a fun show happening in a yurt and I’m cracking out my Cruella Braverman wig. Come along and find out what the orcas are up to with all the sinking of billionaires’ yachts, and why that matters.
Suchandrika Chakrabarti: Doomscrolling at Hootenannies @ Potterrow – Big Yurt, Edinburgh EH8 9AA from Thursday (15) to next Sunday (25). www.edfringe.com and Instagram: @suchandrika.
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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