“I have had diverse influences in my journey. Here is no particular order are 10 of them,” said poet Hussain Manawer.
Avril Lavigne: She delivered one of the greatest-ever albums at a time when I was growing up in high school. She was bold, passionate, oozing with energy and vibes, and was something so different to hear. I still bang her music out now. I think she was timeless with what she did.
Artful Dodger: Now you’re movin too fast! Artful Dodger made so many bangers that when I hear them, they instantly hit so many forms of nostalgia in my mind, of life growing up as a British teenager. Going to the funfair and riding the bumper cars. If I could work with anybody one day, I would love for it to be Mr Dodger.
Tupac Shakur: Pac did something to me mentally that had never been done before. He opened my mind with his poetry, especially his work in The Rose That Grew From The Concrete. Despite the huge mainstream media adversity, controversial standpoints and hectic lifestyle, he shone as an artist and that will forever make him the greatest of all time.
Ms Scandalous & Panjabi Hit Squad: The RDB sound of England gave a voice to British Asians, but when these guys dropped Hai Hai it did something to us in our Honda Civics driving to the melas. As you can tell, I am all about feeling and don’t ever forget how someone made me feel. I wish I had got to see these lot collectively perform live.
Bruce Daisley: You might need to Google who Bruce is among the list of celebrities, but he is a man who has defied the social norms in so many ways in his life and gone on to achieve so much and become incredible. He inspires me through his humility, presence in a conversation and attitude towards others.
Emma Al-Munshi: I have met a lot of people on this ‘journey’ and many will lie, cheat and steal to get themselves somewhere, but not many will love, give, help and heal. Emma Al-Munshi is one of the people in my life who really helped me get to where I am going. Her writing skills and calm nature will forever inspire me.
Diana, Princess of Wales: Until you can name me another person from a stature like Diana, who has walked across a minefield and dedicated so much of her precious life towards others, I will sit down. Until then she remains the princess of the people.
Prince Naseem Hamed: FAM! Man like Prince Naseem you know. I feel sorry for those who didn’t grow up in his time. He brought so much excitement, thrill and energy to the world of boxing. It was insane. His ring entrances will forever be iconic and his unorthodox style of boxing will be spoken about forever.
Kathleen Saxton: A businesswoman with a huge social conscious and understanding of the human mind, Kathleen entered my life at a very weird time and since then has become a part of my family. It’s very rare for me to get inspired by others, especially in a world where content is forever thrown at our faces, so when you encounter that real human interaction, it really changes the game up mentally for you.
The Belgrave Boys: These lot influence and inspire me more than anyone on this planet. My day one friends who have been coming with me to every show I have ever performed at locally and internationally. They are one of the main reasons I carried on and kept going. Belgrave to the world.
Hussain Manawer is an acclaimed London-based poet. He will be performing live at the Jazz Café in London on June 20. Tickets are available now via Ticketmaster. Visit Instagram: @hussains_ house, Twitter & YouTube: @hussainshouse, Facebook: @hussain.manawer and www. hussainmanawer.com for more.
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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