“I’M A model and aspiring actress based in the UAE. Originally from Mumbai, I began my modelling career working with local designers. I love experimenting with style and believe fashion has no rules. I also believe in real connections during an era where digital media dominates our lives. I am of the belief we should strike a balance between the digital revolution and human interactions. With that in mind, here are my top tips to reconnect with the real world,” said Sonya.
Change settings: Dive into your phone settings and turn off most of the notifications. Why? Because those notifications light up your screen every few minutes and have you addicted to checking your phone, which of course can be very distracting. Do this and you’re ready for what’s coming next.
Time it: What casually starts with scrolling usually proceeds to no stopping. Before you know it, an hour has passed. This calls for a change! Set aside some time for social media and stick to it. It’s great to stay connected and give the world updates about your experiences, just don’t let it take over your life. Remember, balance is key.
Let the wallpaper talk: If you’re the type that gets tempted to keep checking your phone screen for notifications, this should do the trick. All you need is a ‘phone wallpaper’ that says: ‘No, this can wait! Use some willpower to follow just what it tells you. This doesn’t mean that you have to abandon your notifications for days; you can check it every few hours. If someone needs to speak to you urgently, they can choose to call you instead.
Real expressions: Instead of using emojis or reactions, wouldn’t it be nice to actually express. The sight of someone smiling with a thumbs up gesture when they see your outfit of the day is definitely better than a mere emoji over your post. Express yourself more. Look around you, there is so much waiting for your real reactions.
Don’t take it along: Think about the times when you can make do without your phone. A fun evening with friends or a jog by yourself perhaps. Wouldn’t it be refreshing to just soak in what’s happening in the moment rather than letting your device capture stories? Give it a try, you won’t regret it!
Save it for later: We just love sharing updates with close ones. The internet makes it a lot easier to keep in touch. But what would you discuss when you finally meet after weeks, months or even years of waiting? Would you even miss each other? Save the updates for later and bring back the charm of long distance relationships as you disregard the power of being online.
Time to replace: Many would admit that their phone screen is the first thing they check when they wake up and the last before going to bed. Replace this with rising up to watch the morning sky and something like reading your favourite book before bedtime. A bonus tip is to replace your morning wake-up call from your phone alarm to a traditional alarm clock. This way, you wouldn’t be tempted to check updates.
Create real stories: With social media platforms offering you opportunities to publish ‘stories’ that last 24 hours, you often fail to create the real kind, which will be told for years to come. These are the kind of stories you would share with people in exchange for a connection you could label as true friendship.
Let your eyes see: The urge to capture every moment with the perfectly fantastic smartphone camera lens is real. Maybe if you try to control this urge to post the image about the heavenly breakfast, you would enjoy indulging in the taste better. Let your eyes capture the sight, remember the details and your heart feel the moment.
Check into reality: Not everything you see online is real. The more you dwell upon it, the more you’ll tend to compare yourself to perfection that doesn’t exist. While others may be busy ‘checking in’ to the fanciest restaurants or dreamy destinations, be sure that they’re only putting the best of their lives online. Let them live in a fake reality while you find the right balance. Being online can give us the greatest strength to reach out to millions, but don’t centre your life around it. I hope these tips help you reconnect with the real.
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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