Latest / Influencer Marketing with Fexingo: Creators, Sponsorships, and Modern Endorsement Deals / The Real Cost of Virtual Influencer Partnerships
Transcript
- Lucas: So here is a question that keeps popping up on my desk lately: when you hand a credit card to a robot, do you get a better return on investment? I am not talking about sci-fi fantasies. I am talking about the growing cadre of hyper-realistic virtual influencers who have signed multi-year deals with major fashion and tech brands. Luna: Right, and the numbers are getting hard to ignore. We are seeing campaigns where the virtual creator never sleeps, never ages, and never has a scandalous tweet archived from ten years ago. Lucas: Exactly. And that control is the primary selling point. Think about it. If you are a luxury brand, the last thing you want is your face value tied to a human celebrity’s erratic behavior or a political misstep. With a virtual persona, the narrative is entirely proprietary. You own the character, you own the voice, and you own the image rights in a way that is legally cleaner than any standard talent agreement. Luna: But does the audience actually buy into it? Or are they just engaging because it is novel? Lucas: That is the million-dollar question. Let us look at the early movers. Lil Miquela, created by the agency Brud, has been around since twenty eighteen. She has collaborated with Prada, Calvin Klein, and Spotify. The data shows her engagement rates often outpace mid-tier human influencers because every post is optimized, every aesthetic choice is deliberate, and there is no noise. Luna: Optimized sounds like a lot of work for the marketers, though. Who is actually making the content? Lucas: It is a hybrid model. There are teams of animators, writers, and social media managers behind the scenes. It is less about a single star and more about an IP studio. The cost structure is fundamentally different. Instead of paying a daily rate plus travel expenses, you are paying for software licenses, talent for the voice actors, and creative direction. Luna: So it is more like producing a TV show than hiring a spokesperson. Lucas: Precisely. And that scalability is where the real money is. A human influencer can only be in one place at once. A virtual influencer can launch a product in New York, Tokyo, and Lagos simultaneously across different platforms without burning out. They are always available, always on-brand, and always consistent. Luna: Consistency is good, but isn't there a creepiness factor? Like, when did it become too perfect? Lucas: You are touching on the uncanny valley. But the newer generation of virtual influencers is leaning into that imperfection. Take Aitana Lopez, the Spanish AI model who recently became the highest-earning virtual influencer in Spain. Her success came not from being flawless, but from having a curated personality—she posts about gym struggles, dating woes, and coffee orders. It feels human because it mimics human vulnerability, even if that vulnerability is scripted. Luna: Scripted vulnerability. That is a new phrase. It sounds like emotional manufacturing. Lucas: It is, but consumers have gotten used to curated feeds anyway. We have been filtering our lives for a decade. The difference is that with Aitana, the curation is total. There is no accidental leak of private data. No surprise divorce. No controversial opinion posted at two in the morning. Luna: So brands are buying peace of mind along with the exposure. Lucas: They are. And let us talk about the financial mechanics for a moment. When a brand partners with a human, they are betting on that person’s future relevance. If they age out or lose favor, the asset depreciates. With a virtual entity, the brand controls the lifecycle. They can reset the character, update the look, or pivot the niche entirely if market trends shift. Luna: That sounds incredibly efficient, but doesn't it lack soul? How do you build genuine community trust with code? Lucas: Community trust is built on interaction, not ontology. If the virtual influencer replies to comments, shares user-generated content, and creates a sense of belonging, the audience forms a parasocial bond. It does not matter if the bot is made of silicon or carbon. The brain reacts to the social cues. Luna: I guess so. But there is a regulatory gray area here. Are these entities considered celebrities or just advertisements? Lucas: That is a huge issue right now. In many jurisdictions, the FTC requires clear disclosure that content is sponsored. But what happens when the entire person is a sponsored creation? Is the influencer themselves the ad? We are seeing new guidelines emerging that require disclosures not just for the post, but for the nature of the persona itself. Luna: So you might see a disclaimer that says this person does not exist. That changes the whole dynamic. Lucas: It does. And some audiences are reacting negatively to that revelation. There is a segment of viewers who feel deceived if they thought they were supporting a real person. This is the reputational risk. Unlike a human who can apologize and grow, a virtual character cannot genuinely express remorse unless it is programmed to do so. Luna: Programmed remorse. That feels hollow. Do you think brands are overestimating the longevity of this trend? Lucas: Maybe. But look at the technology curve. Generative AI is making it cheaper and easier to create these characters every month. We are going to see a flood of micro-virtual influencers tailored to specific niches. Maybe a virtual fitness coach for yoga, or a virtual chef for vegan recipes. The barrier to entry is dropping fast. Luna: So it becomes a volume game rather than a quality game. Thousands of tiny digital personas doing tiny jobs. Lucas: Exactly. And that is where the economics get interesting. Because the marginal cost of producing additional content drops as the AI models improve. A brand could theoretically deploy fifty different virtual influencers across fifty different micro-markets for the price of one top-tier human celebrity. Luna: That is a terrifyingly efficient model for advertisers. It sounds like the ultimate scale. Lucas: It is. But let us pause here for a second. This conversation is part of the Fexingo Business Podcast network, and we rely on listener support to keep these deep dives coming. If these marketing conversations have sparked something you've actually used or learned from, consider supporting the show directly. A couple of dollars a month is genuinely what keeps these going — buy me a coffee dot com slash fexingo. It helps us cover the research and production costs so we can keep bringing you these analyses ad-free. Luna: Yeah, it really does make a difference in the quality of the reporting. Thanks for keeping the lights on. Lucas: Back to the virtual world. So if efficiency is the driver, why haven't all brands switched yet? There must be a ceiling. Luna: I bet it's the human desire for connection. People want to support real people. They want to know there is a body behind the screen. Lucas: That is the counter-argument. And for certain categories, it holds water. Food, travel, and lifestyle products often benefit from the sensory experience of a real human. Can a virtual influencer really convey the taste of a burger or the feeling of sand between their toes? Not literally. Luna: Unless they use very clever sound design and visual effects. But it still feels like a simulation. Lucas: It is a simulation. And for some brands, that is fine. For others, it is a dealbreaker. The market is likely to split. High-end, controlled environments will lean virtual. Authentic, gritty, community-driven brands will stick to humans. It is not a replacement; it is a parallel track. Luna: Parallel tracks. I like that framing. It avoids the doom and gloom narrative of robots taking over everything. Lucas: Agreed. But the tension is real. As AI gets better at detecting and responding to individual users, the virtual influencer might become more persuasive than the human one. Imagine a chatbot that remembers every single customer’s name and preference. That is the next frontier. Luna: That is both impressive and slightly dystopian. Where do you draw the line on personalization? Lucas: We draw the line where consent ends. Currently, most virtual interactions are broadcast-based. One-to-many. The next step is one-to-one. And that raises serious privacy questions. If a virtual influencer knows your purchase history, your location, and your mood, how much should they know? Luna: And who owns that data? The brand? The AI developer? The user? Lucas: That is the legal battleground of the next five years. Right now, the contracts are vague. But as these characters become more interactive, the data governance will need to be explicit. Brands will have to decide how much intimacy they want to simulate, and how much transparency they are willing to provide about the machinery behind it. Luna: So it is not just a creative decision anymore. It is a legal and ethical one. Lucas: Absolutely. And that adds complexity to the budget. You are not just paying for the animation. You are paying for the compliance team, the ethical review board, and the crisis management plan for when the algorithm hallucinates something offensive. Luna: Hallucinations. Yes, that is a real risk. An AI generating a biased comment or a controversial statement. Humans make mistakes, but they also learn. Does AI learn from its mistakes in real time? Lucas: Not reliably. Most virtual influencers operate on pre-scripted timelines or rigid rule sets. They do not have true agency. If they say something wrong, it is usually because the developers missed a constraint. Fixing it requires a patch, not an apology. Luna: That lack of accountability is probably the biggest hurdle for mainstream adoption. Consumers demand apologies. Lucas: They do. And a corporation saying 'our code glitched' is rarely a satisfying response. It feels like passing the buck. Until virtual influencers can demonstrate genuine accountability, they will remain a niche tool for specific types of campaigns. Luna: Niche, but growing. It seems like the smart money is watching closely. Lucas: Very closely. Because if they solve the accountability problem, the efficiency gains are undeniable. The ability to control the narrative completely is too tempting for large corporations to ignore. Luna: Control is a powerful drug in marketing. Maybe that is why they are pushing forward despite the risks. Lucas: It is. And we will see which brands have the courage to fully commit to the virtual route, and which ones stay safe with human talent. The next few years will tell us if the audience prefers the polish of perfection or the messiness of humanity. Luna: I suspect it will depend entirely on the product. You would not want a robot selling you insurance, but maybe you would want one designing your outfit. Lucas: Now that is a sharp distinction. Service versus style. Transactional versus expressive. That might be the dividing line. Luna: Or maybe we will just get tired of the simulation. Novelty wears off pretty quickly. Lucas: Novelty does wear off. But utility lasts. If the virtual influencer provides value—entertainment, information, community—people will stay. If it is just a billboard with a face, they will scroll past. The bar is high. Luna: High bar, high stakes. I wonder if the first major viral scandal involving a virtual influencer has already happened and we just missed it. Lucas: It is possible. We are entering a phase where the lines are blurring faster than the regulations can catch up. Stay curious about who—or what—is talking to you online.