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.
Margot Robbie describes motherhood as “the best” in her first public comments since welcoming a son
The 35-year-old and her husband Tom Ackerley quietly welcomed their baby boy in October 2024
The couple, married since 2016, have not revealed their son’s name or exact birth date
Robbie is currently promoting her new film A Big Bold Beautiful Journey alongside Colin Farrell
Margot Robbie has spoken publicly about becoming a mother for the first time, calling motherhood “the best.” The Barbie and Birds of Prey star, who welcomed her baby boy with husband Tom Ackerley in October 2024, admitted that parenthood is hard to explain to non-parents. In her candid remarks while promoting her upcoming film A Big Bold Beautiful Journey, Robbie said the joy of having a child is something that “doesn’t need much explaining” to those who have experienced it.
Margot Robbie described motherhood as “the best” during an interview promoting her new film Getty Images
What did Margot Robbie say about motherhood?
During a conversation with Entertainment Tonight, Robbie explained how motherhood has transformed her life. The 35-year-old actress said:
“If you try to explain it to someone who has kids, you don’t need to because they get it. And if they don’t, it’s probably just really boring to hear. So, you’re just kind of like, ‘It’s the best.’”
This is in fact the first time she has addressed parenthood since giving birth last year. Robbie and Ackerley, who have kept their son’s name and birth date private, continue to protect their family life from public attention, while enjoying time at home together in Los Angeles.
Margot Robbie keeps baby name private as she opens up on first year of motherhoodGetty Images
When did Margot Robbie and Tom Ackerley have their baby?
Robbie and Ackerley, both 35, welcomed their first child in October 2024, with news confirmed by People weeks later. Sources revealed that the couple were “loving spending time with their baby” and had settled into family life as homebodies.
The pair, who first met in 2013 on the set of Suite Française, married in a private ceremony in Byron Bay, Australia, in 2016. Since then, they have managed to balance their Hollywood careers with a largely private relationship, rarely speaking about their personal lives in interviews.
Margot Robbie and Tom Ackerley married since 2016, have kept their baby boy’s name privateGetty Images
Has Margot Robbie revealed her baby’s name?
Despite growing curiosity from fans, Robbie and Ackerley have not disclosed their son’s name or released any photographs. The actress has kept her pregnancy and parenthood journey closely guarded, in line with her long-standing preference for privacy.
That hasn’t stopped her son from making the occasional unscripted appearance. During a recent interview with Access Hollywood, Robbie paused mid-conversation and smiled apologetically, saying: “I’m sorry about how loud my baby is.”
How has motherhood affected Margot Robbie’s career?
Robbie, who has built a reputation for balancing blockbuster projects like The Suicide Squad with indie hits such as I, Tonya, has taken a measured approach to work since becoming a parent.
According to sources, she plans to spend much of 2025 focused on family before returning to a busy schedule of upcoming projects. In the meantime, she is promoting A Big Bold Beautiful Journey, a romantic fantasy co-starring Colin Farrell, set for release on 19 September. Farrell also reflected on parenthood during the same interview, describing his two decades as a father as “the most important facet” of his life.
Margot Robbie breaks silence on becoming a mother and reveals joy of life with her baby boyGetty Images
A new chapter for Margot Robbie
For Robbie, motherhood is a new chapter in an already remarkable career. From her breakout role in The Wolf of Wall Street to global success with Barbie, she has become one of Hollywood’s most bankable stars. Now, with her first child, she is stepping into a role that has clearly brought her joy. While she may not share every detail of her private life, Robbie’s brief remarks underline a simple truth: for her, being a mother is something that doesn’t need many words, it’s enough to just say it’s the best.
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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