She is 82 years old. She gives relationship advice, flaunts a lavish lifestyle, and has 1.5 million followers invested in her world.

Her name is Baddie Betty. She has never lived a single day on this earth.

Not long ago, AI-generated creators felt like a novelty, a way to generate buzz and maybe a few headlines. Today, they are signing brand deals, posting GRWMs, posing with Er

ewhon smoothies, and building audiences that rival those of human creators. Baddie Betty even has a book, The Trophy Woman, a blueprint for self-love and strategic dating, written by someone who has never experienced either.

The market is responding accordingly. The global virtual influencer market is projected to reach $45.8 billion by 2030, and 63% of marketing professionals plan to integrate AI and machine learning into their influencer strategies.

So what does this actually mean for brands, creators, and the future of the creator economy? Here is what you need to know.

Why Brands Are Paying Attention To AI Influencers

From a brand safety standpoint, the appeal of AI influencers is obvious: full control over messaging, no reputation risk, infinite content at scale, and significantly lower production costs.

For teams under pressure to deliver consistent output, the value proposition is hard to ignore. A single prompt can generate dozens of product-ready assets in a day, optimized for engagement and conversion.

But that efficiency only matters if you understand where AI influencers actually fit — and where they don’t.

The creator economy is no longer a single lane defined by authenticity. It has evolved into distinct value categories: community-led creators, entertainers, educators, and UGC specialists. In some of those categories, personal connection is the product. In others, it’s largely irrelevant.

As creator economy strategist and former Meta and TikTok Alum, Antonia Alakija explains, “Influencer marketing has always operated across multiple value types, not just authenticity as the primary value pillar. This multi-value approach theoretically opens a lane for AI influencers to also present their own form of value to the creator economy.”

The Prompt: Get the week’s biggest AI news on the buzziest companies and boldest breakthroughs, in your inbox.

Brands that recognize that distinction are far better positioned to use AI strategically, rather than reacting to it as a trend.

Creators And The Trust Gap

The creator economy runs on perceived authenticity. Audiences follow creators because they believe they’re engaging with real people who have real opinions and lived experiences.

AI influencers complicate that, and the data backs it up.

Only 15% of consumers say they trust AI influencers, and just 27% say they would consider making a purchase based on an AI influencer’s recommendation. Those are the two metrics that justify investing in influencers: trust and purchase intent. When both are low, efficiency gains start to matter a lot less.

At the core of this gap is a fundamental truth: engagement and trust are not the same thing.

Paula Bruno, CEO of Intuition Media Group, notes that influencer marketing has historically functioned as a form of trust transfer. A creator builds credibility over time, and that credibility extends to the products and brands they endorse. She adds, “Feeling something and trusting something are not the same thing.” AI can generate attention, but it cannot replicate the consistency, vulnerability, and lived experience that build trust over time.” That’s where AI influencers hit a ceiling.

The implication for brands is significant. When deploying a virtual influencer, they’re no longer borrowing credibility from a creator — they’re asking audiences to trust the brand directly. And as Bruno notes, that’s “a fundamentally different ask, and for most brands, a much harder one.”

The gap doesn’t just show up in sentiment. It also shows up in performance.

Research comparing AI-generated and human-created content suggests that while AI can compete for views and attention, it still struggles to convert. In his research, Philip Madero Hammarskiöld, Co-Founder of Trudy and Founder of The Global Center for Digital Influence Research, found that AI-generated content can match or even outperform human creators in terms of virality, but falls short when it comes to driving actual purchases. He explains that people will watch it, but they won’t purchase from it. “Novelty drives the views, but trust closes the purchase.”

That disconnect ultimately comes down to trust. While novelty fuels engagement, it does not carry the same credibility needed to influence buying decisions. Hammarskiöld’s survey data reinforces this tension: audiences are not necessarily opposed to AI content and will still consume it, but they place less trust in its recommendations compared to those from human creators they actively follow.

This nuance is where many brands get it wrong. High-performing content can be mistaken for high-converting content, but the two are not interchangeable. As Hammarskiöld notes, assuming that virality translates to conversion overlooks the fundamental role trust plays in turning attention into action.

What Happens When The Human Element Becomes Optional

AI is already deeply embedded across the creator economy, from content editing and captioning to analytics and talent discovery. Today, 86% of creators use generative AI in their workflows, and 92% of brands rely on it to support influencer marketing efforts. The question is no longer whether AI will be used, but how far that usage will go.

Social media has long been shaped by filters, editing tools, and algorithmic curation. AI influencers push that evolution even further, presenting fully constructed identities with no lived experience to back them up.

After more than 15 years in the industry, Bruno sees both the opportunity and the limits. She points to AI influencers as a natural fit for categories like entertainment, fashion, and gaming, where the constructed aesthetic is part of the appeal. But in sectors where trust is the product, including wellness, family, finance, and health, she warns that the authenticity gap remains a significant risk. When that gap becomes visible, the potential for backlash grows.

Audiences are already weighing that trade-off in real time. Whether they extend their trust to brands that embrace these fully constructed personas will ultimately determine how viable this next phase of the creator economy becomes.

​What This Means For Your Influencer Marketing Strategy

The more useful way to think about AI influencers is not as a yes-or-no decision, but as a fit question.

In high-volume, performance-driven environments, particularly UGC-style content, AI is already proving effective. As Alakija notes, formats built around “aesthetic product positioning, product demonstration, [and] high-volume output” are naturally aligned with what AI does best. For SMB e-commerce brands, this is quickly becoming a scalable alternative to traditional gifting strategies.

But that applicability is highly category-dependent.

In industries like entertainment, fashion, and gaming, where the constructed nature of the content is part of the appeal, AI influencers can feel native. In trust-driven categories such as wellness, family, finance, and health, the equation changes.

Here, the authenticity gap becomes a liability. As Bruno points out, that gap is still “very real,” and the risk of backlash increases when consumers feel misled or disconnected from the source of influence.

The creators least likely to be replaced are those whose value is rooted in who they are, not just in what they produce. These include community-led creators, educators, and those who have built credibility over time. In these categories, the human element is not just a feature. It is the core.

AI Influencers Remain A player In Creator Marketing

AI influencers are no longer hypothetical. They are a growing part of the creator marketing ecosystem, with a projected market size of $45.8 billion by 2030.

The operational case is clear: scalability, control, efficiency, and reduced risk. However, the consumer reality is more complicated, with only 15% of consumers trusting AI influencers.

The brands that navigate this well will not treat AI influencers as a replacement for creators. Rather, they will treat them as a strategic tool that works in specific contexts and fails in others.

This is not a question of capability. AI can already produce the content. It is a question of credibility.

The efficiency is real. The trust gap is real too. The brands that win will be the ones that build a strategy around both, rather than confusing one for the other.

© Forbes