The Cultural Aesthetic Gap: What Makes AI-Generated Marketing Content Work In Some Markets

[Image created with ChatGPT – it almost looks like Bukit Bintang in Kuala Lumpur, Malaysia]

A global look at how audiences respond emotionally to AI-generated visuals, and why brands need to think beyond output and toward resonance.

A moment in Malaysia

A month ago, I was on a business trip in Malaysia. Strolling along Bukit Bintang, the biggest shopping street in Kuala Lumpur, I saw it: A massive digital billboard playing a video ad with vibrant colors, strange-looking people and cute demons in it. My professional instincts took over, and I thought: Does no one see how much this screams AI?

Obviously, no one cared – otherwise, they wouldn’t have shown it on one of the most expensive video screens in the city. If it didn’t work, it wouldn’t be there. I kept thinking: Is it really about the image itself, or about the cultural lens I’m seeing it through?

That moment paved the way for a bigger reflection: What do AI-generated visuals reveal about how we see branding, trust and authenticity?

AI adoption is not global, it’s cultural

According to the Ipsos AI Monitor 2025, trust in AI-generated marketing visuals varies dramatically across regions. In Indonesia, 74% of people say they trust AI-generated content, and in Thailand, it’s 72%. Malaysia sits at 50%. Meanwhile, Japan drops to 21%, and Germany, the US, and the UK all hover around 40-43%.

Excitement about AI also varies: 80% in Indonesia say they’re excited about AI-powered products, compared to only 41% in Germany and 46% in Japan.

The data shows a clear pattern: AI adoption is cultural. It’s about expectations, aesthetics, and emotional comfort, not just efficiency.

And while 74% of marketers believe AI will be “very” or “critically” important in the next 12 months (Marketing AI Institute, 2025), only 41% of companies have an actual AI policy or roadmap in place. That gap between enthusiasm and governance leaves plenty of room for cultural missteps.

“AI adoption isn’t about technology alone. It’s about trust, taste, and how much people are willing to feel.”

Especially in Germany and the DACH region, the discourse is heavily shaped by concerns: regulation, data privacy, and ethical implications. Many companies are cautious, and in public-facing content, AI is still treated like a secret weapon. Useful behind the scenes, but risky in the spotlight.

The good old rules of marketing are still valid in the AI era

AI-generated content is still content with a mission. Its goal is to shape how potential customers perceive a brand or product in a positive light. And that only works if it makes people feel something.

This looks differently across cultures. In Southeast Asia, vibrant colors, layered compositions, animations, and a bit of kitsch are part of everyday marketing aesthetics. AI-generated content, even if slightly artificial, blends in naturally.

In the DACH region, it’s the opposite. Simplicity, restraint, and subtle imperfection are often equated with trust. Anything overly polished can feel manipulative, or simply emotionally flat.

In the Anglophone world, we see a hybrid. The U.S., UK, and Australia are more accustomed to visual polish, especially in tech and lifestyle sectors. But even here, authenticity and ethical use of AI are gaining traction fast.

The same image, let’s say a B2B tech ad with glowing, hyperreal textures, might feel inspiring in Thailand, but in Germany, it’s more likely to raise eyebrows. In US, it might split opinions depending on context and audience.

AI puts the lense on the cultural delta

AI doesn’t equalize creativity, it magnifies the cultural delta.

An image created with the same prompt can feel relevant in one market and completely out of place in another. Brands that treat generative content as a universal shortcut risk something far worse than inefficiency: irrelevance.

Forrester recently highlighted that AI-powered content already drives 2–6% of B2B traffic and is growing rapidly. But if those assets aren’t attuned to cultural context, scale becomes noise.

The ‘Cultural Aesthetic Gap‘

This disconnect is what I call the Cultural Aesthetic Gap.

It describes what happens when there’s a mismatch between a brand’s intended message and the audience’s visual or emotional expectations. AI makes this gap more visible – and harder to ignore.

“The Cultural Aesthetic Gap is the disconnect between what a brand intends to communicate, and how its visuals are emotionally received in a specific cultural context.”

AI often removes the subtle human cues we rely on when we assess intent. If those cues don’t match local expectations, trust suffers.

The Marketing AI Institute reports that 64% of companies lack any formal AI oversight structure. Without cultural calibration, even technically excellent content can feel tone-deaf, or worse, untrustworthy.

Strategic implications for brands

In this new era, visual strategy has to go beyond logos and templates.

According to Ipsos, 79% of consumers globally, and over 80% in the U.S. and Singapore believe companies should disclose when they use AI. Transparency is no longer optional.

And while 72% of Thais trust AI-generated visuals in ads, only 40% of Canadians do. Visual localization isn’t a nice-to-have. It’s a trust strategy.

In a world where “zero-click” interactions are rising (Forrester), visuals are often the first  – and sometimes only – brand touchpoint. If those visuals feel off, your message doesn’t land.

The CMF Marketing and Brand Audits

This is why I have incorporated a visual and an AI content dimension into my Culture Market Fit (CMF) Framework. It’s designed to help brands evaluate how their content resonates visually, emotionally, and culturally.

We can’t reject AI, and it makes sense to incorporate it into our marketing processes. But we should have a clear understanding of when and how it works, and where it needs human curation. Both CMF Brand and Marketing Audits help you guide strategic prompting, visual tone, and cultural alignment – especially for teams navigating global markets without a dedicated AI policy.

Final thought: Don’t scale what doesn’t fit

If you’re not adapting your visual content across cultures, you’re not scaling success. You’re scaling misalignment.

Authenticity is no longer about whether a human created the image. It’s about making sure that the created image still stirs the emotions it should stir. And that is very culture-specific.

The brands that will succeed won’t be the ones that create the most content. They’ll be the ones that create the most resonance.

Sources

• Ipsos. (2025). Ipsos AI Monitor 2025.
• Marketing AI Institute. (2025). The State of Marketing AI Report 2025.
• Forrester. (2025). Will Zero-Click Search Kill My B2B Website?