Vivek Mishra works as an Assistant Editor with Eastern Eye and has over 13 years of experience in journalism. His areas of interest include politics, international affairs, current events, and sports. With a background in newsroom operations and editorial planning, he has reported and edited stories on major national and global developments.
Pakistan skipper Babar Azam hopes his side will be third time lucky at the T20 World Cup, having lost in the semi-finals in 2021 and as runners-up the following year.
The team's preparation for the tournament in the West Indies and the USA has been tumultuous, with Azam replacing Shaheen Shah Afridi as captain three months before it begins.
Pakistan drew a 2-2 T20 series at home against a weakened New Zealand in April and then won a series 2-1 in Ireland after losing the opener.
Pakistan's inconsistency remains evident, as they can be the best team one day and the worst the next. They are in Group A with India, co-hosts USA, Canada, and Ireland. The top two teams will progress to the Super Eight in the West Indies, with the final in Barbados on June 29.
A loss to India in New York on June 9 could make their final group game against Ireland in Florida a must-win.
Azam is optimistic about their chances. "Semi-final and then final, so it's our turn to win the trophy this time," he said before leaving for Ireland.
Since their exit from the 50-over World Cup last November, Pakistan cricket has seen several changes, including two coaching staff overhauls and captaincy shifts between Azam and Shaheen.
Mohsin Naqvi, a news channel owner and the country's interior minister, now leads the Pakistan Cricket Board (PCB). He revamped the selection committee, held a training camp at an army base to improve fitness, and brought in former South African opener Gary Kirsten as white-ball coach.
Fast bowler Mohammad Amir and spinner Imad Wasim, both out of retirement, join the attack led by Shaheen and Naseem Shah.
"My mood is good and my fitness is good, and I am looking forward to winning the World Cup," Shaheen said on a PCB podcast, despite the captaincy changes. "I have good partners, and when they do well, you are also motivated."
Naqvi announced a bonus of around GBP 79,000 for each player if they win the World Cup.
Mystery spinner Abrar Ahmed and Shadab Khan supplement Wasim in the spin department.
"This is the best team with every base covered, so we can win and there should be no excuse," said Shaheen, whose fitness will be crucial.
Pakistan's batting approach and inconsistency remain issues. While other teams regularly score over 200, Pakistan hasn't reached that total in 43 T20Is.
Pakistan relies heavily on Azam and Mohammad Rizwan, who have a world record 10 century partnerships. Left-hander Saim Ayub is set to break up the Azam-Rizwan opening partnership, which has been criticized for being too slow.
Star batter Fakhar Zaman, newcomer Usman Khan, Azam Khan, and Iftikhar Ahmed form a powerful middle-order but have struggled for consistency.
For Pakistan to "return with the trophy," the batters will need to match their bowlers' performance.
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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