Pooja Pillai is an entertainment journalist with Asian Media Group, where she covers cinema, pop culture, internet trends, and the politics of representation. Her work spans interviews, cultural features, and social commentary across digital platforms.
She began her reporting career as a news anchor, scripting and presenting stories for a regional newsroom. With a background in journalism and media studies, she has since built a body of work exploring how entertainment intersects with social and cultural shifts, particularly through a South Indian lens.
She brings both newsroom rigour and narrative curiosity to her work, and believes the best stories don’t just inform — they reveal what we didn’t know we needed to hear.
Let’s get one thing straight: musical biopics aren’t just about impersonation anymore. We’re in the era of transformation, and these aren’t tribute acts with a fat budget. They are full blown cinematic resurrections. Whether it’s a gangly 1960s rebel with a guitar or a moonwalking megastar drowning in the spotlight, 2025’s slate of biopics doesn’t just want to tell their stories but possess them.
Here’s a peek at five biopics that are already raising eyebrows, breaking timelines, and making headlines, all before the popcorn even pops.
1. Timothée Chalamet is Bob Dylan in A Complete Unknown
The cheekbones have spoken. Timothée Chalamet is slipping into the scuffed boots of Bob Dylan for A Complete Unknown, and early behind the scenes shots look like a mood board straight out of a dusty vinyl sleeve. The film, directed by James Mangold, known for Ford v Ferrari and Walk the Line, dives into Dylan’s early New York days, maintaining all the coffee stained ambition and lyrical grit.
Elle Fanning plays the girl beside the guy with the guitar, and the two were recently spotted filming in New Jersey, looking like a Rolling Stone cover waiting to happen. Bonus points to Chalamet for going full method! He’s been seen replicating Dylan’s exact 2003 red carpet look. That's dedication, or at least, a very bold Pinterest board, right?
Timothée Chalamet channels the folk legend in ‘A Complete Unknown,’ bringing Bob Dylan’s early Greenwich Village days to lifeGetty Images
2. Jaafar Jackson brings the glove back in Michael
You thought the moonwalk was gone? Think again. Michael Jackson’s nephew, Jaafar Jackson, has slipped into his uncle’s shoes, white socks and all, for Michael, a long awaited biopic that’s now dancing its way to an October 2025 release.
Directed by Antoine Fuqua, known for Training Day and Emancipation, and written by John Logan, known for Skyfall and Gladiator, this one’s stacked with a heavyweight cast including Colman Domingo, Nia Long, and Miles Teller, to name just a few. If the Jackson family seal of approval means anything, this might be more than just a glittery highlight reel, instead it could be the most ambitious pop resurrection in years.
Jaafar Jackson steps into the King of Pop’s iconic loafers in ‘Michael’: A powerful tribute that blends legacy with familyGetty Images
3. Julia Garner steps into a corset and cone in the untitled Madonna biopic
Yes, it’s back. Again. After being cancelled, uncancelled, rewritten, and whispered about in every Hollywood back alley, the Madonna biopic has finally found its queen: Julia Garner. Best known for Ozark, Garner outlasted a Hunger Games style audition marathon that included Florence Pugh and Alexa Demie.
Word is, Madonna herself cowrote the script before handing the pen to Secretary writer Erin Cressida Wilson. And she’s not just playing muse but reportedly directing too. Expect no sugarcoating. This is the Material Girl telling her own story, her way, with the working title possibly Who’s That Girl. This film could be a total reinvention or a beautiful mess. Either way, we’ll be watching.
Julia Garner transforms into the queen of reinvention in the untitled Madonna biopic with corset, cone bra, and allGetty Images
4. Selena Gomez channels Linda Ronstadt in a biopic still simmering
It’s the slow burner of the list, but don’t sleep on this one. Selena Gomez is still locked in to play Linda Ronstadt, the legendary voice behind “Blue Bayou” and “You’re No Good.” And she’s not phoning it in, Selena has reportedly read Ronstadt’s memoirs cover to cover, more than once.
Despite fan excitement, the film has hit a few bumps including online backlash over the choice of director David O. Russell, known for his, um, temperamental rep on set. But the production team behind the acclaimed Linda Ronstadt doc (Finding My Voice) is onboard, and Gomez is visibly passionate. The film may still be in preproduction limbo, but if and when it lands, expect something raw, real, and full of range.
Selena Gomez pays homage to Linda Ronstadt’s trailblazing voice and emotional depth in this anticipated passion projectGetty Images
5. Jeremy Allen White trades aprons for Americana in Deliver Me from Nowhere
Fresh off an Emmy win for The Bear, Jeremy Allen White is turning up the emotional gain as Bruce Springsteen in Deliver Me from Nowhere. But don’t expect stadium lights and Born in the U.S.A. blare. This biopic zooms in on the making of Nebraska, Springsteen’s bleak, lo fi masterpiece.
Set in early ’80s New Jersey and directed by Scott Cooper, known for Crazy Heart, the film captures a moment of raw transformation from stripped down tapes and mental health battles to creative solitude. Based on Warren Zanes’ book of the same name, this film could be the slow burning, soul searching curveball in a line-up full of glitter.
Jeremy Allen White ditches the kitchen for the studio in ‘Deliver Me from Nowhere,’ a gritty portrayal of Springsteen’s Nebraska eraGetty Images
The comeback ‘Chameleon’
You know what’s refreshing? These films aren’t trying to sanitise the stars they’re portraying. They’re messy, imperfect, and controversial, just like the people they’re about. They’re here to blow the dust off legends and make you feel like you’re right there, in the studio, in the fight, or in the front row.
So, whether you're a sceptic, a superfan, or just here for the vibes, these films are gunning for awards, headlines, and your group chats.
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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