TAKE a peek over your teen’s shoulder tonight and you’ll probably see a glowing screen filled with what looks like harmless content.

Because right now, millions of youngsters are glued to a bizarre French character named Jean ­Philanthrope.

Fake character Jean Phil sports retro hairdo and big moustache
Fake character Jean Philanthrope sports a retro hairdo and a big moustache while targeting Gen Z Credit: Instagram
Brigitte Macaron in a bright pink suit with dramatic shoulder pads inside a grand shopping arcade.
His digital sidekick is Brigitte Macaron – a play on the French First Lady Brigitte Macron

But he isn’t real — for Jean Phil, as he is known, is a scam designed to fleece your children out of their savings.

Dressed in a sharp suit and sporting a wacky retro hairdo and handlebar moustache, he appears strutting along Parisian streets before suddenly shadowboxing to hip-hop beats.

But he has never set foot on a French street and does not own a wardrobe full of crisp tailoring.

He is an artificial creation made out of computer code, and his anonymous creators have built an elaborate universe around him to con young people.

For years, has poked fun at older generations for falling for obvious online scams. Now, the tables have turned.

Nearly half of UK consumers have mistaken fake AI content for reality, a Visa report revealed. Worse still, young adults aged 18 to 24 are said to be three times more likely to fall for social media investment fraud than their grandparents.

Seven in ten youth investment scams start on such as and , finds.

Jean Phil is the poster boy for this high-tech con. The shadowy figures running his account first hooked millions of youngsters with dozens of short, hypnotic videos.

A man with a large mustache and styled hair walks on a stage wearing a white shirt, striped tie, and yellow trousers.
Benjamin Stachio is another oddball AI character
A smiling man with a bowl cut and mustache wearing a suit holds a UFC contract and gives a thumbs-up.
British rival Archibald Brown

Once Jean Phil became a viral sensation, the trap snapped shut.

His creators launched an unregulated coin called $JEANPHIL on the Solana crypto network, stamping the avatar’s face across the campaign.

Egged on by viral videos promising fast profits, starry-eyed young followers poured their part-time wages and pocket and student loans into the digital coin, driving up its value to an estimated £8.8million.

Then came the sucker punch. As soon as the coin hit its peak, the anonymous masterminds dumped their entire stash of tokens on to the market, pocketing fortunes in real cash in return.

The coin’s value then plunged by 99 per cent in a single afternoon.

Thousands of young fans were left holding worthless digital receipts.

To keep the scam running, the creators did not stop at Jean Phil.

They expanded his world into an entire cinematic universe of fake avatars, introducing digital sidekicks Brigitte Macaron — a play on the French First Lady — and Benjamin Stachio, along with a British rival named Archibald Brown.

I FELL FOR THE PHANTOM

By Emma Conaghan

AS a proud Gen Z who grew up with an iPhone practically glued to my hand, I honestly thought our generation was impossible to con online.

We grew up laughing at our mums and dads getting fooled by AI videos of Donald Trump performing a viral dance trend.

Then I met “Jean Phil” while scrolling through TikTok.

With his effortless swagger, he looked like an eccentric European living a glamorous life.

And when he started dancing, I was hooked.

I binged his videos for an hour, mesmerised.

Then humiliation set in.

I looked at all the comments, expecting to see fans asking where he bought his suits.

Instead, they read: “Wait . . . is this guy generated by software?” and “He isn’t a real person.”

I felt utterly foolish. The lighting was so crisp and his movements so fluid that I never questioned his reality for a second.

I was lucky not to buy into the scam cryptocurrency attached to his name. But it was a massive wake-up call.

If someone who writes about social media for a living can be taken for a ride, our younger siblings do not stand a chance.

This pumped trading on rival tokens, creating a web of synthetic characters pulling real cash out of teenagers’ pockets.

While “Jean Phil” and his bizarre universe have a fun cartoonish style, cyber experts warn this is just the beginning.

Other creators are rolling out realistic digital that look entirely human, without any obvious visual glitches.

More than seven in ten mobile users cannot tell an AI face from a real person, university studies show.

Brits lose more than £250million a year to crypto scams, figures reveal.

So if you hear your youngster talking about Jean Phil, or notice them dabbling in viral coins, it is time to have a word.

Those digital stars are not harmless entertainers but fraudsters coming for your children’s cash.

SPOT THE BOT

Five ways to catch AI scammers

  1. Inspect the hands and ears: AI software can generate convincing faces, but hands remain its weak spot. Watch for blurred fingers, strange extra joints or ears that melt unnaturally into hair and collars.
  2. Demand a livestream: Real internet stars regularly broadcast live from their bedrooms or chat, unscripted, to their followers. Fake avatars only ever appear in pre-rendered clips lasting under ten seconds, usually against a background of loud music to hide robotic speech.
  3. Watch for the dead stare: Synthetic characters often give themselves away around the eyes. Look for avatars that rarely blink, or whose eyes stay rigidly locked on the camera lens even when their body twists and turns.
  4. Check the profile links: Genuine online stars make their money through clothing lines, brand sponsorships or YouTube videos. AI swindlers direct followers to private chat groups on Telegram or shady crypto coin-trading websites.
  5. Scan for crypto wallets: Take a look at your teenager’s phone screen for apps such as Phantom, MetaMask or Trust Wallet. Youngsters do not need these apps to watch comedy sketches. They are downloaded specifically to buy and sell high-risk digital coins.