A Girl Who Doesn't Exist Signed 74 Brand Deals in a Year and Made $2.5 Million

A while back, a friend of mine who works in marketing showed me an Instagram screenshot.

A Brazilian girl, blonde, loves posting about outfits and gadgets, just over eight million followers. Looks like your typical top-tier lifestyle influencer.

Except she was manufactured.

Her name is Lu do Magalu, the virtual brand ambassador of Brazilian e-commerce company Magalu. A girl who doesn't exist landed 74 brand partnerships in 2024 alone, pulling in roughly $2.5 million. Averaged out, that's about $34,320 per post.

My friend told me that figure is roughly 40 times what a human influencer of comparable scale earns.

Wild.

I went home and dove straight into the data, wanting to answer one question: how big exactly is the virtual influencer business? A genuine gold rush, or just noise? Today I'm laying out the numbers I found.

This Business Is Far Bigger Than You Think

Let's start with the overall market.

In 2026, the virtual influencer market is worth about $11.74 billion. By 2032, forecasts put it at $154.6 billion. What does that mean? A compound annual growth rate of 41.29%.

Think those numbers sound slippery? Another research firm's broader "AI influencer" figure says $13.4 billion in 2026, growing to $62.67 billion by 2030. And the bigger pond underneath it all — the global creator economy — currently stands at $323.48 billion, projected to reach $820.83 billion by 2030.

The numbers disagree. What matters is that every methodology points to the same conclusion:

The market is ballooning at more than 40% a year.

Why? Think about it: build a virtual persona once, use it forever. No scandals, no sick days, no rate hikes, no contract disputes. Brand managers sleep soundly at night.

One more number: brands now spend over $32 billion a year on creator partnerships. And CMOs have already allocated as much as 30% of their influencer marketing budgets to virtual personas.

China is moving even faster. It has spent $1.6 billion on virtual influencers, with 340 million active followers.

Engagement Rates Three Times Higher Than Human Influencers

You might ask: do followers genuinely love watching them, or is it just novelty?

HypeAuditor's data: virtual influencer campaigns average a 5.67% engagement rate, versus 1.89% for human influencers.

Nearly three times.

Here's an even sharper example. Prada's collaboration with virtual avatar Lil Miquela delivered engagement 30% higher than the average of Prada's own campaigns. Calvin Klein, Samsung, Dior, Balmain, Fenty Beauty — they're all lining up to work with virtual personas.

But there's a flip side.

In categories that really run on "authenticity", human influencers' sponsored posts can beat virtual personas by as much as 2.7x on engagement. Put plainly: when you buy a lipstick, you want to see it on a real face; when a pixelated avatar recommends wealth-management products, you can't help but raise an eyebrow.

So my verdict: virtual personas win on "looks"; humans win on "trust". Different category, completely different ballgame.

Packed at the Top, Wide Open in the Middle

So is it too late to get in?

My answer: too late to crowd into the top tier; perfect timing to go vertical.

The top is indeed crowded. Globally, there were about 150 virtual personas with over a million followers in 2023; by 2026 there are more than 400. More players chasing the same pie: top-tier accounts' average engagement rate has already slipped from 5.9% to 5.67%. Not huge, but the direction is clear.

Brand adoption keeps climbing, though. In two years, from 60% to 73%. But look closely at the industry breakdown and the fluff shows:

In beauty and personal care, 89% of brands have tried virtual personas. Fashion, 78%; gaming, 76%. And financial services?

22%.

Not even half. A large number of vertical industries haven't run a single virtual influencer campaign. By 2030, CMOs' budget share for virtual personas is forecast to reach 40–45%. Everything in between is white space.

The top tier is a red ocean; the mid-tier is a blue ocean. Catching the next Lu do Magalu is hard. Building "a virtual advisor that only serves insurance brokers"? Now is exactly the time.

Human Creators Aren't Sitting Still

We've watched virtual personas beat humans — now let's see how humans are fighting back with AI.

In 2026, 75% of professional creators already use AI for ideation, scripting, and video editing, producing 40% more than two years ago. 46% use AI to analyze follower behavior; 34% have handed community management, email, and other chores to AI, saving roughly 15% of their time.

AI hasn't stolen creators' jobs. It's more like an operations team that works without a paycheck, letting one person produce what used to take an entire studio.

But there's a number here that makes me uncomfortable.

Women creators are the majority on Instagram and TikTok, yet according to a 2025 NeoReach report, for every $1 a male creator earns on the same kind of brand deal, a woman earns $0.77. More painful still: 79% of male creators use AI, versus only 68% of women — an 11-percentage-point gap. 31% of women creators say they don't have time to learn new tools.

And then the most gut-punching one: among the top 25 virtual influencers by follower count, roughly 80% are run by male-led studios.

Virtual female faces, male shareholders' books. AI hasn't closed the gap — it just moved the old gap into the new world.

The $4.8 Billion Dark Side

Everything so far has been good news. Now for the part that sends a chill down your spine.

In 2026, influencer fraud is estimated to cause $4.8 billion in losses. 2,340 creators are currently under investigation by the U.S. FTC and the UK's FCA over fake or AI-generated reviews.

How cheap are these scams? 74% of deepfake fraud uses an AI toolkit that costs just $50. Across the internet, deepfakes cause roughly $23.7 billion in losses. Influencer-related scams are growing 47% a year.

Regulation is already on the way. The EU AI Act, the FTC's endorsement guidelines, the UK FCA's framework — all tightening. By 2027, industry-wide compliance costs are forecast to rise by an additional $200 million.

So brands' current mindset is interesting. 89.44% of marketing teams use AI in their workflow — but look where: 36.67% for finding and vetting candidates, 21.11% for generating content. And for anti-fraud?

7.22%.

AI finds the people; humans verify them. Speed goes to the machines; trust stays with humans. For now, that line of defense can't come down.

So What Do I Make of This Business?

Finally, back to the girl from the beginning.

She earns $2.5 million a year, with three times the engagement of humans, backed by a market projected to hit $154.6 billion by 2032. Those numbers are real.

At the same time, the $4.8 billion in fraud, the fluff hidden inside 40%-plus annual growth, and the women creators left behind — those are real too.

My whole judgment comes down to one line:

This isn't a question of "should we use virtual personas" — it's a question of "do you dare use only half of one". Use them for content and scale; keep verification and trust in human hands.

That day, after looking at the screenshot, my friend asked me: do you think, someday, half the influencers we follow will be manufactured?

I said I don't know. But 58% of American consumers already follow at least one virtual influencer. That half may be closer than you think.

May you see the numbers clearly — and the people behind them just as clearly.