Last December, McDonald’s Netherlands released a 45-second Christmas ad built entirely with AI. No crew. No director. No talent on set. The company called it innovation. The internet called it unsettling, creepy, stressful to watch. The production company later revealed it had taken five weeks and a ten-person AI team, longer and more expensive than a traditional shoot would have been. The CEO defended it on LinkedIn anyway.
This is where the AI narrative breaks. The tools are impressive. The results keep failing the basic test: does this actually work.
I run StudioBackdrops, India’s largest photography and videography equipment e-commerce platform. Our entire business model depends on real creators staying in the game. No AI influencers have approached us. None will. Our products exist because humans make things. If content production becomes 100% AI-generated, we’re out of business. I say this plainly because it means I’m not a neutral observer on this topic. I have something to lose if AI replaces creators. But that’s exactly why you should listen, I’m the person closest to what actually happens when creators have tools, resources, and real audiences.
The uncanny valley isn’t going away
The uncanny valley is a concept from robotics: as artificial representations of humans get closer to realistic, they don’t become more comforting. They become more disturbing. There’s a specific threshold where “almost human” triggers visceral discomfort that “clearly not human” never does.
The McDonald’s ad sat right in that valley. A man’s limbs went jelly-like mid-fall. Santa’s sled got stuck in traffic. The physics were wrong. The faces were wrong. The emotional logic was wrong. None of it read as human experience because none of it came from human experience.
Better rendering won’t fix this. This is an origin problem. Authentic content has a texture that comes from being made by someone who actually felt something. Audiences don’t always know why they trust or distrust a piece but they feel it. And they’re right to.
India’s enthusiasm doesn’t equal India’s trust
A YouGov survey found that Indian consumers are the most enthusiastic about AI influencers globally. 55% of Indian respondents said they’d likely interact with AI-generated content, more than double the global average. Brands read this as a green light. They’re reading it wrong.
Enthusiasm and purchase intent are not the same thing. A 2025 Goat Agency and Kantar report found that 70% of Indian brands cite trust and credibility as the top reasons to engage with influencers. India’s internet growth is coming from Tier 2 and Tier 3 cities, from regional language audiences, from communities where the influencer feels like them, same accent, same reference points, same lived context. Hyperlocal influencers in India see 40% higher engagement than English-speaking counterparts. The reason is straightforward: people trust people who feel real to them.
An AI avatar built on global training data, optimized for a national campaign, speaking to someone in Coimbatore or Patna, that gap doesn’t close because the render quality improved. The trust math just doesn’t work.
Brands are taking unnecessary reputational risk
Research from Northeastern University found that AI influencers cause more reputational damage to a brand than human influencers when something goes wrong, because audiences don’t extend the same forgiveness to a brand using a virtual face. A human influencer can make an error. An AI avatar’s errors are the brand’s errors, directly. Globally, 37% of consumers express interest in AI influencers. Nearly half remain uncomfortable with brands using them. The “uncomfortable” half aren’t passive. They’re vocal. McDonald’s learned this the hard way.
What actually matters in the creator economy
I’m vocal about using AI in processes and workflows. What I won’t do is use AI to generate the content itself. There’s a hard line between using tools to work faster and replacing the human who makes the creative decision.
Most creators understand this distinction. There’s some anxiety in creator circles about AI replacement, but honestly, no one cares much. Creators care about whether their work sells, whether their audience stays loyal, whether they can eat. AI hasn’t changed those priorities. What it’s done is create noise that brands mistake for an opportunity.
86% of creators already use generative AI for ideation, editing, scripting, or distribution. That’s not because creators want to disappear. It’s because AI tools actually work in workflows. But there’s a difference between using AI in your workflow and replacing the human face of your brand with one.
Real faces win because they can’t be scaled
There’s no algorithm for the moment a creator genuinely recommends something, shares something difficult, or shows up for their community during something that matters. That moment is not scalable. It is not replicable. It is precisely why it works.
India’s influencer marketing industry is valued at ₹3,600 crore and projected to grow 25% in 2030. That growth is being driven by creators who have built real relationships with real audiences in real languages about real things. Not by AI avatars.
AI influencers will find their place, in specific categories, for specific use cases. But as a replacement for authentic human voices in marketing? The evidence says no. The data says no. And if you’re a brand that matters, your audience will make sure you know they noticed.
McDonald’s paid a significant reputational price to confirm what should have been obvious: people can tell the difference between a face and a simulation. And they care enough to punish you for trying.
(Views are personal)
