December 8, 2025
Do you remember 2023, when tools like ChatGPT and Midjourney first arrived? We were all genuinely excited. It felt like a superpower. You could type a sentence and get an image, or ask a question and get a code snippet. We adored it because it promised to take away the boring parts of our jobs. We thought it was the future of everything because it was fast, cheap, and surprisingly capable. We were focused on the speed of the output, not the quality of the soul behind it. But that’s not how we view AI anymore. So what happened?
We can tell the difference
Before we analyze the specific brands, we have to look at the environment. By late 2025, the barrier to creating video content didn't just lower; it evaporated. The cost of production hit zero, and the result was an enormous amount of AI content on our social feeds. It's what the internet collectively labeled as "AI slop."
We all know the aesthetic by now. It is the hyper-smooth skin that looks like plastic. It is the lighting that feels weirdly inconsistent, like the sun is coming from two directions at once. It is the physics that operate on "dream logic”: where objects glide and float rather than having weight and friction.
Data suggests that human beings have evolved a rapid-response "AI radar" to deal with this influx. It works as a subconscious filter. The moment our brains detect that specific digital "glimmer"; the dead eyes or the uncanny motion, we don't just scroll past; we mentally block it out. In the consumer's mind, AI content has become a proxy for indifference. The signal it sends is clear:
"The brand didn't care enough to film this for real, so why should I care enough to watch it?”
The ultimate Christmas battle
Two big brands launched their Christmas campaigns in November. On one side, you have Coca-Cola, the brand that literally helped shape the modern image of Santa Claus. Since 1995, their "Holidays Are Coming" truck commercials have been the cultural signal that the season has begun, relying on true, holiday nostalgia. On the other side, you have Apple, a brand that traditionally owns the "craft" slot of the holidays, releasing high-budget, emotionally resonant films that emphasize human connection.
We compare them because they are the standard-bearers. But in late 2025, they gave us something more than just ads; they gave us a perfect A/B test for the future of creativity. While their goal was the same: to win the Q4 attention economy, their methods were diametrically opposed. One brand bet on the efficiency of AI, while the other chose realness and hard work.
Why fake snow made Coca-Cola lose
Coca-Cola took their most legendary asset: the "Holidays Are Coming" truck and handed it to an AI video generator. They wanted to save money and time. But people noticed immediately. The trucks didn't look like heavy vehicles driving through snow; they looked like PNG images sliding across a screen. The wheels often didn't spin. The perspective shifted weirdly.
People didn't share the ad because they liked it. They shared it to make fun of the glitches. By using AI to mimic a beloved classic, Coke signaled that they were cutting costs. The internet responded by calling the brand "cheap."
What made Apple light up from the rest?
For their holiday film, "A Critter Carol," Apple needed to show a magical woodland. They could have generated a singing squirrel in Midjourney in ten seconds, but they went the other way. They built a massive, physical forest set on a soundstage. They hired a team of expert puppeteers to manually operate physical woodland creatures, frame by frame. Then, they released a "Behind the Scenes" video proving that every tuft of fur and every snowflake was real. People shared the BTS video just to say, "Look at how much effort went into this." In a sea of fake content, doing things the hard way became the ultimate flex.
The gift of effort (and the cost of faking it)
The difference in reception wasn’t about the technology; it was about the signaling.
In marketing, every creative decision sends a message. It’s not just what you make, it’s what the effort behind it implies. Consumers rarely articulate this consciously, but they feel it instantly. The production method becomes part of the story. The failure of the Coca-Cola campaign can be explained by Costly Signaling Theory. In biology and economics, a signal is only trusted if it is "costly" or difficult to produce. There are two types of signaling:
Cheap signaling
Prompting an AI video takes seconds. It proves nothing about the brand’s resources or commitment. Coca-Cola accidentally sent this signal. The moment people saw the AI-rendered trucks sliding across the snow like stickers on a PowerPoint slide, the message wasn’t “Look at our new interpretation.”
It was: “We don’t care enough to film a truck.”
In the eyes of consumers, AI didn’t just cheapen the visuals, it cheapened the intention. If a brand uses a tool associated with shortcuts, the audience assumes the brand itself is taking shortcuts.
In a holiday season built on sentiment, nostalgia, and emotional weight, that’s fatal.
Costly signaling
Building a physical set takes months and millions of dollars. It proves the brand has mastery and resources. When Apple released a handcrafted, puppet-driven Christmas film, the real message wasn’t “Look at our woodland creatures.”
The real message was: “We respect you enough to build a forest.”
Every behind-the-scenes clip, every visible string, every slow, painstaking frame of puppetry signaled commitment, craftsmanship, and human time. It told the audience: “This mattered to us.” And because the work looked hard, it looked meaningful.
People don’t just admire the result, they admire the dedication behind the result.
Marketing science backs this up: The "AI Label Penalty" (documented in the Journal of Hospitality Marketing) shows that explicit AI labeling decreases purchase intention because consumers associate it with low effort and risk. You can prompt a result, but you cannot prompt the struggle required to achieve it. And without the struggle, you have no authority.
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Have you been naughty or nice?
It’s not just human beings who hate the fake stuff. It’s the algorithms, too. Google’s search rankings rely on E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). In 2025, the most important letter became that first "E": Experience.
Search data:
- Negative modifiers are up: People are actively searching for their queries, but adding terms like -ai or -generated.
- "Proof" is ranking: Content that shows how it was made (BTS footage, raw files, human faces) is outranking smooth, generated content.
Google is asking: Did the creator actually do the thing they are showing?
This doesn't mean you have to throw your servers in the trash. AI is still the most powerful technology of our generation. But only if you know where to put it. The brands winning in 2026 aren't rejecting AI; they are moving it to the back room. They use AI as the architect, not the builder. The "Pro" argument for AI is still true: it removes drudgery. It organizes data. It helps you think faster. But the moment you let AI be the face of your brand, is the moment you lose. The rule for the future is simple: Use AI to make your team smarter, not to replace their hands.
How can you use AI correctly?
If you want to survive the next year, follow this guideline for what to do and what not to do:If you want to win in the coming year, the strategy is not to reject AI, but to deploy it where it offers leverage without compromising trust. The most successful brands treat AI as a powerful internal engine, while keeping the external customer experience human-centric.
Here is a practical framework for integrating AI into your workflow:
Ready to build real authority?
The data suggests that while AI is unmatched at processing information and accelerating workflows, it cannot yet replicate the weight of human experience. To win in 2026, the formula is simple: Use AI to build a faster, smarter business, but use humans to actually connect with your customers. In a world full of AI, we focus on building the only asset that cannot be automated: genuine digital authority. We help you navigate the changing search landscape with strategies based on data, not shortcuts. Are you ready to move forward? Take the next step!
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Methodology
This research was conducted using deskresearch and Ahrefs keyword research.
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Intern Content Marketing
Romijn is a Content Marketing Intern at Seeders Zwolle. She is interested in creative writing and enjoys a good brainstorm. With a strong curiosity for growth and creativity, Romijn isn't afraid to pitch ideas and ask for feedback. As a final-year Communication student at Windesheim and fresh from a semester in Lisbon, she enjoys working in the dynamic and international team of Seeders. The only thing she’s still getting used to is swapping the Lisbon sunshine for Zwolle's four seasons in one day. ;)
