Kerala is poised to make waves in the digital entertainment realm with the launch of CSpace, India's inaugural government-backed streaming platform.
Set to debut this Thursday, the platform aims to deliver a unique blend of informative and entertaining content tailored for the masses, an official statement said on Tuesday.
The state’s Chief Minister Pinarayi Vijayan will launch the streaming platform at Kairali Theatre on March 7 at 9.30 am. Cultural Affairs Minister Saji Cherian will preside.
"CSpace is essentially a response to the growing imbalances and multifarious challenges in the OTT sector in terms of content selection and propagation," said Shaji N Karun, noted film director and Chairman, Kerala State Film Development Corporation (KSFDC), at a press conference here.
CSpace is managed by KSFDC, a state-owned company entrusted with the promotion of Malayalam cinema and industry, on behalf of the Department of Cultural Affairs, Government of Kerala.
For selecting and approving the content, KSFDC has constituted a curator panel of 60 members including eminent cultural personalities from the state, such as Benyamin, OV Usha, Santhosh Sivan, Shyamaprasad, Sunny Joseph, and Jeo Baby.
Every content that is submitted to the platform will be evaluated by three curators from the panel for its artistic, cultural, and infotainment merit.
Only the content recommended by the curators will be showcased on the platform.
Karun said the curators have so far selected 42 films for the first phase of CSpace, including 35 feature films, six documentaries, and one short film.
Films that have won national or state awards or have been exhibited in major film festivals will also be shown.
Another distinctive feature of CSpace is transparency in its operations, the overall earnings, and the revenue share.
The platform, which operates on a pay-per-view basis, allows viewers to watch a feature film for Rs 75 and shorter content for a much lower price. Exactly half of the amount charged goes to the content provider.
Viewers can download the CSpace app from the PlayStore and App Store from March 7 onwards, a KSFDC statement said.
K V Abdul Malik, MD, KSFDC, said the launch of the platform will address a major concern of the exhibitors and distributors of the film industry regarding their dwindling profits due to producers releasing their feature films directly on OTT Platforms.
"To accommodate their concerns, CSpace has decided to showcase only those feature films that have been released in cinema halls. Besides, short films, documentaries, and experimental films recommended by curators will also be made available on the platform," he added.
A plan to set aside a certain amount for the welfare of film professionals is also under consideration.
CSpace will have content related to Kerala culture and arts, besides catering to film students and those who seriously approach films.
Through the platform, there are plans to encourage film clubs across the state including colleges.
Award-winning films Nishiddho and B32 to 44 will be premiered on CSpace.
It also intends to launch a new pattern in crowdfunding by offering filmmakers an opportunity to recoup the production cost through the support of viewers watching their films, the statement added.
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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