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Influencers: Do We Still Need Humans?

The article compares AI and human influencers, noting humans still earn far more today while the virtual-influencer market is forecast to grow. It argues brands will adopt a hybrid model: humans for trust and authenticity, AI for visibility and real-time engagement.

influenceravatarai-marketingevidence
2026-08-08Go Next Marketer5 min read

I saw a set of numbers recently that I couldn't shake.

Twicsy ran the stats: for the same influencer work, a human earns 46 times what an AI influencer earns.

Forty-six times.

Your first instinct is probably: so the AI-influencer thing is dead, right?

Not so fast. Another research firm, KBV, has a forecast: by 2030, the virtual-influencer market could reach $37.7 billion.

On one side, humans are crushing AI today. On the other, the market is heading toward tens of billions. The gap between those two numbers is the calculation every brand is running right now.

The influencer gap calculation: humans earn 46x more today, but the virtual-influencer market is forecast at $37.7B by 2030

What's Actually Good About AI Influencers?

I dug through a few cases, and after reading them I had one feeling: this is moving faster than I thought.

Two names for you.

First, Lil Miquela. A digital avatar with over 3 million followers on Instagram. She's already worked with Prada, Calvin Klein — the luxury tier. And remember — "she" is a string of code.

Second, Shudu Gram, billed as the world's first digital supermodel, long a model for Rihanna's Fenty Beauty.

So what's the brand appeal? Brands want one thing: compliance.

Human influencers flame out, show up late, say the wrong thing, jack up their rates at the last minute. AI influencers don't. They're online around the clock, fluent in multiple languages, never take a sick day, never throw a tantrum. In one stroke, they eliminate every piece of risk that used to be uncontrollable.

HypeAuditor's data is even blunter: on platforms like Instagram, virtual influencers pull engagement rates 3% higher than humans. Gartner drops an even sharper number: swap a human for AI and a single campaign's cost drops by 30%.

Cost down 30%, engagement up 3%, and no scandals. Put that in front of any CMO and they'd be sold.

But the Lu Case — That's the One That Made Me Nervous

What really unsettled me was Lu do Magalu, built by the Brazilian retailer Magazine Luiza.

She isn't just a virtual face that posts photos. She talks directly to customers, makes personalized recommendations, replies to comments, handles customer service. One AI influencer, and she's quietly doing three jobs at once: CRM (customer relationship management), customer support, and brand spokesperson.

My first reaction wasn't "how cool." It was: if a virtual human can swallow sales, service, and content whole, how much is left for a human marketing team?

So Here's the Question: Are AI Influencers Real?

Every bargain has its hidden price tag.

Edelman ran a survey: 58% of consumers said the number-one reason they follow an influencer is "authenticity."

And that is the Achilles' heel of AI influencers.

Humans cry, put on weight, go through breakups, start businesses that fail and then climb back up. These messy, broken little moments are the very bedrock of emotional connection. AI has none of it. It's forever young, forever appropriate, forever on-form. But "forever on-form" is exactly the thing that makes it impossible to feel anything for.

Think about it — would you pour your heart out to a friend who never, ever makes a mistake?

Then there's the deeper issue: can you trust what it recommends? An algorithm that has never once tried that jar of face cream — on what grounds is it telling me whether the cream is any good? Consumers aren't stupid. The second they sense the praise was manufactured, trust starts to collapse.

And the trouble doesn't stop there. Some countries have already moved. Spain requires paid influencer promotions to be disclosed as such. But for AI influencers, regulation in most countries is still a grey area — and the room to manipulate consumers has been left wide open.

Gen Z's Taste Isn't What We Think

I had assumed this story ended here, as a clean "humans vs. AI" standoff.

Then I hit a number from Pew Research: 81% of Gen Z follow influencers on social platforms. And a sizeable chunk of them are genuinely intrigued by the idea of interacting with virtual characters.

I couldn't get my head around it at first.

Then a line from Michael Tasner snapped it into focus: what Gen Z is looking for isn't a specific "person" — it's the sense of belonging that comes from being responded to, being seen, being remembered.

Who replies at 3 a.m. within seconds? Who remembers what they said last week? Whose mood is always steady, always online?

Humans can't do that. AI can.

That's the hidden generational disconnect most people miss: we feel AI has no warmth; they feel humans aren't stable enough.

So What's the Next Move? Hybrid.

One thing I've grown fairly certain of: AI won't kill off human influencers — but it will use a hybrid model to rewrite the entire industry.

Kellogg's handed brands a tidy playbook: they rebuilt their old mascot, Tony the Tiger, so the tiger could interact in real time on social media. In one move, childhood nostalgia plugged straight into present-tense interaction.

But here's the trap, and Terry Zelen called it: a shell isn't enough — you have to write a virtual character with genuine depth of backstory.

Otherwise it's just a customer-service bot that answers messages. Neither influential, nor really online.

A Final Word

In this game, AI brings efficiency and control; humans bring authenticity and emotion. Each side holds its own square.

The real homework for brands right now is to think clearly: does the product in my hand need to be trusted, or does it need to be seen?

Trust-building work goes to humans. Being seen, being responded to in real time — AI does that more cheaply and more reliably.

Trust vs visibility: the hybrid split — humans bring trust and authenticity, AI brings visibility and real-time response

Brands that jumble those two things together will most likely end up with neither.

As for Gen Z, they're already out there — learning to cook from a human blogger on one screen, chatting with a virtual girlfriend on another. The split looks strange to my generation. They know exactly what they're doing.

The future is already here — it's just not evenly distributed.

Every bargain has its hidden price tag.