Why AI-driven creative is failing and how to fix it
Coca-Cola's "Holidays Are Coming" campaign drew immediate backlash. Viewers called it "AI slop" - criticized the script as generic, spotted visual inconsistencies across scenes, and detected a priority on cost and speed over authenticity. The brand's public emphasis on AI's role only amplified the scrutiny.
Yet Coca-Cola's "Coca-Cola Masterpiece," also AI-heavy, landed differently. The concept felt original. The technology extended reality rather than imitating it. Publicity focused on the artists involved, not the tools. Viewers responded: "It wasn't made by AI. It was made by humans using AI. I can feel the feelings of the person who made this ad."
The difference wasn't the technology. It was craft.
Technology doesn't excuse mediocrity
Marketers have always used tools that distort reality. Exaggerated explosions. Cars on Mars. Audiences accept this because the story works. When execution falters-bad effects, weak editing, inconsistent visuals-people notice.
In Coca-Cola's holiday ad, viewers detected laziness. The narrative was thin. Instead of building connection, the campaign stacked recognizable symbols into a sequence. That flatness is easy to detect. Visual glitches and mismatched styles signaled a lack of control-something that wouldn't happen with traditional production methods.
There's also ethical ambiguity. Where did underlying material come from? Was it licensed? Derived from existing work? That uncertainty makes audiences uncomfortable.
Svedka's Super Bowl ad "Shake Your Bots Off" made the technology itself the focal point. The idea suffered. McDonald's Netherlands holiday campaign "It's the Most Terrible Time of the Year" faced similar criticism when visual inconsistencies became the story instead of the message.
Three principles for better execution
Use AI to expand imagination, not replace craft. Generative AI works when it serves the narrative. It fails when it replaces it. If AI is used primarily to cut costs or replace human creativity, the result feels reductive. But when AI enables something genuinely new-something previously impossible to produce-it becomes additive.
Be obsessive about fidelity. There's an entire community dedicated to finding flaws in creative work. AI-generated content gives them a bright target. Logos must be exact. Visuals must be consistent. Even subtle impossibilities should be eliminated unless intentional. These issues signal inauthenticity. Your goal is to protect the viewer's immersive experience and maintain brand integrity. Quality is the canary in your AI-generated coal mine.
Secure usage rights and control inputs. Start with assets your brand owns or has explicitly licensed. Extend those rights to AI-driven use cases. Build approval processes for likenesses or materials in final outputs. Virgin Voyages shot original footage of Jennifer Lopez and let customers generate personalized invitations-foundation licensed, controlled, intentional. H&M, Levi's and Mango faced backlash for AI-generated digital twins, raising concerns about consent, compensation and displacement of human talent.
Announcing AI: when and why
Most criticized campaigns loudly announced their use of AI through press releases and behind-the-scenes content. That invitation to scrutiny often backfired. If the work is strong, it should stand on its own.
If you choose to highlight AI, have a clear reason. Nike's staging of a match between 1999 and 2017 Serena Williams works because that story couldn't be told any other way.
Before you ship
Ask three questions. If you can't confidently answer all of them, it may be more effective not to advertise at all:
- Is this additive? Does AI make the idea more interesting?
- Is this respectful? Are rights, likeness and labor considerations addressed?
- Is this excellent? Would we distribute this regardless of production source?
Consumers aren't rejecting AI. They're rejecting indifference. This backlash signals a need to raise standards. Generative AI is not a shortcut-it's a tool for telling more ambitious stories. Brands that treat it as a craft tool will earn trust instead of losing it.
For creatives working with these tools, consider exploring Generative Art Training and AI Design Courses to sharpen your approach to production and storytelling.
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