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People Love Using AI. They Just Hate Your AI Ads.

Jul 14
5 min read

We are living in a profound paradox of the digital age. On any given day, an individual might use ChatGPT to summarise an exhaustive corporate report, ask an AI agent to build a custom travel itinerary, or use automated code assistants to fix a software bug. People do not hate artificial intelligence. In fact, they actively rely on it. Roughly 43% of workers use generative AI in their daily professional workflows.

Yet, a fascinating transformation occurs the moment a consumer closes their workspace and opens an app to browse as a human being: they do not want to see AI.

Human creativity is expected to be real because only about 10% of people globally possess an inherently creative brain. Fellow creatives appreciate and deconstruct the craftsmanship behind the work, while the other half admires it simply because they could never think that way or come up with it. When you automate that magic, you alienate both groups.

The moment a multi-billion-dollar brand replaces a human story with synthetic, computer-generated "slop," consumers revolt. People love AI as an interactive utility to make their lives easier, but they expect originality, soul, and human truth from business marketing. When a brand uses generative AI as a lazy shortcut to bypass authentic creation or to cut costs on staff, it doesn't look futuristic, it looks remarkably lazy and unoriginal.

The data from high-profile creative collapses across Europe and the United States tells us that "AI First" marketing is hitting a concrete wall. Here is why the strategy is failing, backed by the brutal numbers.


1. Coca-Cola: The "Soulless" Holiday Campaign Backlash

For three decades, Coca-Cola’s iconic "Holidays Are Coming" commercial, featuring a fleet of glowing, crimson semi-trucks rolling through a snowy landscape, was a global staple marking the emotional start of the festive season. Especially the 'real trucks' touring around the world during the festive season made their campaigns incredibly authentic. We don't know whether Coca-Cola was hoping to streamline production or follow the ''AI-trend'' but they chose to recreate the legendary campaign using generative AI video tools.


The Data

While executive teams spoke proudly about "reimagining the creative workflow," neuroscience and consumer attention analytics exposed a complete disaster:

  • An independent video performance analysis by junbi.ai uploaded the ad to measure its effectiveness against thousands of real YouTube ads. The commercial scored an abysmal 22 out of 100 for overall effectiveness, placing it in the bottom 22nd percentile of all digital ads.

  • The ad’s Breakthrough Score (the raw ability to hook and hold human attention amidst digital distractions) sat at a freezing 13 out of 100. Why? The AI generated repetitive, meandering scenery, dead-eyed animals, and trucks that awkwardly glided across landscapes without their wheels convincingly touching the ground.

  • A comprehensive UK public sentiment survey conducted by William Hill Vegas and Meltwater revealed the spot received a measly 19% positive sentiment rating from the British public, making it by far the least-loved campaign of the highly competitive festive season.

Why it Failed: Holiday marketing relies entirely on nostalgia, emotional warmth, and human connection. Swapping out handcrafted art for an automated algorithm felt cold and uninspired. It signaled to the audience that the brand didn't think the market was worth a human being’s time.

2. Levi’s: The "Synthetic Diversity" Backlash

Hoping to show their apparel on a wider, more inclusive range of body types, ages, and skin tones, apparel giant Levi Strauss & Co. announced a major corporate partnership with digital studio Lalaland.ai to create customised, computer-generated fashion models.


The Data

The brand heavily marketed the move as a progressive, innovative step toward advancing Diversity, Equity, and Inclusion (DEI) in their digital catalog. The public, however, immediately weaponised the numbers against them:

  • Human rights and racial equity consultancies pointed out a glaring commercial hypocrisy: the spending power of ethnic minorities in regions like the UK is massive, yet the brand chose to use code to synthesise minority faces rather than paying real human models from those diverse backgrounds.

  • The backlash across social channels was swift and intense. The public outcry was so severe that Levi’s was forced to issue an emergency corporate retraction within 6 days, completely shifting their narrative to clarify that the automated tool was merely an internal "business efficiency" pilot and stating it should never have been conflated with their actual DEI goals.

Why it Failed: Consumers possess a sharp radar for corporate virtue-signaling. When a brand tries to automate representation via a cost-cutting shortcut while wrapping it in the language of social progress, the market will instantly call out the hypocrisy.

3. The Willy Wonka Glasgow Fiasco: The Ultimate "AI Slop" Crisis

Perhaps the most viral and extreme warning label for automated marketing occurred in Scotland, where an event company used generative AI text and image tools to market an immersive "Willy Wonka Chocolate Experience."


The Campaign

The event organisers used AI tools to rapidly spin up whimsical, gorgeous promotional graphics filled with glowing crystal tunnels and giant jellybean trees, alongside AI-generated web copy riddled with nonsensical phrases (like "catgacating") and actual typos ("cartchy tuns").

  • Relying purely on automated promotional hype, they charged families up to £35 ($44) per ticket.

  • Upon arrival, parents didn't find a magical wonderland but a near-empty, depressing concrete warehouse containing a solitary bouncy castle, cheap plastic props, and hired actors who had been handed a confusing, AI-generated script less than 24 hours prior.

  • Instead of a chocolate paradise, children were handed exactly two jellybeans and a quarter-cup of lemonade.

  • The immediate, fierce public backlash resulted in police being called to the venue by furious parents, global public humiliation, and the forced issuance of at least 850 immediate financial refunds.


Why it Failed: This became the definitive case study for the dangers of un-vetted AI marketing. It proved that when you use automated tools to fake a grand brand promise without building the real-world infrastructure to support it, consumer anger will dismantle your business overnight.

If you want to see what that looks like, have a look at the YouTube Video.


Data reveals that consumers around the world are pushing back against corporate over-reliance on automated content, though there seem to be different levels of tolerance and reactions on brands using AI.


The Ultimate Rule for Modern Marketers

If these high-profile creative collapses teach us anything, it is that AI is a fantastic co-pilot for operational efficiency, but a catastrophic pilot for human creativity.

People want real marketing. They want original ideas, unexpected humour, flaws, grit, and genuine human perspective. Before your brand rolls out its next campaign, test it against the ultimate authenticity guardrails:

  • If your marketing relies on emotional connection, nostalgia, or seasonal magic, do not use synthetic human or animal faces. The subconscious mind instantly registers the lack of soul.

  • Do not use AI to state authenticity. Don't shortcut corporate responsibility, diversity, or ethical initiatives. If your representation isn't real, your consumer backlash will be.

  • Use AI behind the scenes to optimise logistics, clean up data, or brainstorm conceptual angles. But when it comes to the final creative output that touches a human being, keep it entirely human.


Consumers don't want to buy products from a computer. They want to buy into stories told by people. Respect your audience's intelligence, or prepare to watch your brand equity vanish.

 
 
 

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