The market for AI-generated influencers is projected to reach $60 billion by 2030, up from roughly $12 billion this year, a 5x expansion in four years that is already reshaping what social media feeds look like. The avatars at the center of that growth — Aitana Lopez, Emily Pellegrini, and thousands of less-famous imitators — are no longer obviously fake, and the platforms hosting them have no clear rules for accounts that aren't quite people. The earliest wave was easy to spot. The latest wave is not.
Lil Miquela, Imma, and Shudu Gram, the first generation of virtual influencers, were unmistakably digital — stylized faces, studio-grade output, brand deals announced with fanfare. The economics required money, coordination, and polish. That barrier has collapsed. A still image of an AI-generated person now passes as real at a glance, especially next to human influencers leaning on filters and editing. Video and audio are closing fast.
Aitana Lopez is the product of The Clueless, a Spanish creative agency that runs a stable of synthetic influencers and books them for brand work. Emily Pellegrini, who posts from Coachella and Wimbledon-adjacent lifestyles, is run by a creator using the pseudonym Professor EP — a former OnlyFans manager who now sells courses teaching others to build AI influencers of their own. The pipeline from making one avatar to selling the playbook is now a business in itself.
Key facts
- 01Market research firms project the virtual influencer market will reach $60 billion by 2030, up from $12 billion in 2026.
- 02Spanish agency The Clueless manages a stable of AI influencers including Aitana Lopez, charging brands for sponsored posts.
- 03Emily Pellegrini's creator, who goes by Professor EP, previously managed OnlyFans creators and now sells courses on building AI influencers.
- 04Europe's AI Act will require deployers of generative AI to disclose AI-generated or manipulated content, with fines for non-compliance.
- 05Major platforms including YouTube, TikTok and Instagram have synthetic-media labeling rules but no policy covering AI personas themselves.
The tooling is mainstream. Google and OpenAI ship general-purpose generative models that anyone can use to produce avatar imagery and video. Specialized players — Higgsfield for video, HeyGen for talking-head avatars, ElevenLabs for voice cloning — fill in the rest of the stack. The combined effect is that a single operator with a laptop can run a dozen synthetic personas at once, no studio required.
Below the database-tracked names like the ones cataloged by Virtual Humans sits an ocean of accounts flying under the radar. Some upsell drop-ship junk. Some run romance scams using fake photos. Some push disinformation. A large share just copy whatever's trending among human creators, slapping AI faces on existing formats. Platforms do not publish figures on how many of their users are synthetic, which makes the actual scale impossible to verify.
The platforms themselves are stuck. TikTok, Instagram, and YouTube have rolled out labeling rules for AI-generated content over the past few years, and most now require some form of disclosure on synthetic media. But those rules cover individual posts, not the accounts and personas behind them. An AI influencer who labels each video as AI-generated is not, strictly, breaking any rule. They are not impersonating a specific real person, not running a scam, not posting graphic material — they simply do not exist.
That ambiguity is deliberate. The same platforms policing synthetic content are also shipping their own generative tools, including features that let users clone or simulate themselves. Engagement is engagement regardless of whether the account behind it has a pulse, and there is little commercial incentive for a platform to aggressively cull accounts that keep users scrolling. Users, meanwhile, are largely left to spot and report suspicious profiles themselves.
The downstream ecosystem has the shape of a gold rush. There are AI influencer awards, beauty pageants for synthetic creators, talent agencies that represent avatars, and a thriving market of courses promising faceless passive income to anyone willing to build their own. A few visible successes — Lopez, Pellegrini — anchor an enormous secondary market of people selling shovels to everyone else.
Regulation may force the issue before platforms do. Europe's AI Act will require deployers of generative AI to clearly disclose AI-generated or manipulated content, with fines attached. Backlash over deepfakes and nonconsensual synthetic imagery, including incidents involving tools like xAI's Grok, has pushed lawmakers to look harder at synthetic media. But even the Act's transparency obligations target content, not whether the account posting it represents a real human.
The unresolved question is whether social networks can absorb this without collapsing the thing that makes them social. If a meaningful share of accounts in any given feed are synthetic, and if those accounts exist primarily to extract money from the humans still on the platform, the math eventually breaks. Human users leave, ad inventory loses value, and the synthetic operators who built businesses on top of human attention discover there is nothing left to monetize.
For the AI tooling layer — the ElevenLabs, HeyGen, and Higgsfield tier — the projected jump to $60 billion is a real addressable market, and one that does not depend on enterprise procurement cycles or model-licensing deals. It is direct-to-creator revenue from a pool of operators who will pay for whatever incremental realism wins them another follower. The companies selling those tools are the clearest beneficiaries of a trend that the platforms hosting the output have no obvious plan to manage, and that's the cleanest tell that the market is going to keep growing whether or not anyone in the loop wants it to.
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