The Sameness Problem Behind AI-Generated Menus

When the Menu Feels Wrong

When it first happens to you, you think you're crazy. You wander into a cafe and look at a menu with a variety of bagel sandwiches, but each illustration looks eerily flawless, precisely symmetrical, and oddly smooth — eliciting a visceral sensation that something isn't right. You might think you're paranoid, but you're not losing your mind.

Generative AI menus have hit the restaurant business courtesy of models trained on a narrow, “pleasing” aesthetic that feels wrong even when you can't articulate why. Sometimes these illustrations are egregiously fake — like a burrito with cheese so bubbly and melty that it looks more like avant-garde art than lunch. More often, they're so ordinary looking that you only notice something is wrong when you take a second to look more closely.

"It's almost like an alien trying to make a pizza without understanding its core principles," Reality Defender CTO Alex Lisle told TechCrunch. (Reality Defender itself is part of a growing category of startups selling AI-detection and content-verification tools — a business that exists in part because of issues like this one.)

This isn't just about aesthetics. It's about perception, trust, and how our brains interpret the world around us. As I've observed in my work covering economic shifts and their human impact, when something looks too perfect, it often signals a disconnection from reality.

The AI Training Dilemma

Large language models (LLMs) and diffusion models — the kinds of AI models that make seemingly omniscient chatbots and image generators like ChatGPT and Midjourney possible — are trained on vast quantities of data. The models then identify patterns in the datasets to predict what a user is looking for when they ask something like, “Make me a menu for a burger restaurant.”

"A lot of this stuff looks like a Chili's menu from 2015, and there's a reason for that," Lisle said. "That was the corpus of work from which [the models] drew their function." This isn't just a quirk of AI design — it's a symptom of how we train these systems.

Every time an AI model trains on another piece of AI-generated content, it becomes slightly more homogenized. As AI developer and researcher Lee Rainie explained, "The optimization of the data sets is for pleasingness, or you know, not being offensive, and so there's a way that turns into homogenization." This process leads to convergence — where outputs start looking increasingly similar even if they're based on different inputs.

Why AI Menus Are Unappetizing

The problem with AI-generated food imagery goes beyond simple misalignment. It's a cognitive mismatch that triggers our subconscious unease. Researchers at the University of Duisburg-Essen in Germany found that AI-generated food images exhibited an "uncanny valley" effect — where images of food that looked almost real elicited more disgust and unease than images that were obviously fake.

This aversion is rooted in how our brains process visual information. When something appears to be "real" but lacks the nuanced imperfections we expect, it creates cognitive dissonance. AI models trained on fast-food chains or generic restaurant imagery produce a consistent aesthetic — one where every ice cream scoop is perfectly round, shrimp seem to have been genetically modified to eat their own tails, creating new "Lovecraftian food horrors."

This phenomenon isn't limited to restaurants — it's a broader issue in how we're integrating AI into creative workflows. When you use an AI image generator to create a menu and then edit it repeatedly, the food images become progressively smoother and less authentic.

The Business Impact

Restaurants are falling victim to this problem by revising their AI-generated menus, making small tweaks over and over — like changing prices or item names. With each edit, the food images become a tiny bit more rounded and artificial.

This isn't just an aesthetic issue; it's a business risk. Customers can viscerally sense that something is wrong with the food — even if they can't articulate exactly why. As I've seen in my coverage of economic trends, when customers feel disconnected from what they're purchasing, it affects their willingness to engage.

"People have an almost unexplainable sense about when they're looking at something that's AI-generated, compared with something that was real in the first place," Rainie said. "There's just a sensibility that people sometimes find hard to articulate, but they kind of know it when they see it and I think that's one of the reasons why some of the early stories about the backlash [against restaurants using AI menus] is so pronounced."

Implications Beyond Food

The issue extends beyond the dinner table. We're witnessing a fundamental shift in how we process authenticity and truth — a shift that has profound implications for business, media, and social trust.

"Seeing and hearing has always been believing, to the point where even our court systems are entirely tuned to the idea that the gold standard in evidence is taped confessions and videotaped evidence," Lisle said. "That's no longer the case. The world has fundamentally shifted, for good or for ill."

As businesses continue to integrate AI tools, they must understand that the sameness problem isn't just about visuals — it's about building genuine relationships with customers. When we lose the subtle variations and imperfections that make things feel authentic, we risk alienating people who have learned to trust their instincts.

Looking Forward

The challenge for AI developers and businesses is clear: we need better training data and more sophisticated models that preserve the human elements of creativity. As someone who tracks economic shifts and their human impact, I've seen how quickly trends can evolve — especially when they involve fundamental questions about authenticity.

For now, restaurants would do well to reconsider their reliance on AI-generated menus. The discomfort customers feel isn't a bug in the system; it's a feature that reflects our deep-seated need for genuine human experiences — even in our food choices.

As AI continues to reshape industries, we must remember that true innovation lies not just in efficiency or cost-saving measures, but in preserving the emotional resonance that connects people to products and services. The sameness problem behind AI-generated menus is more than a design flaw — it's a wake-up call about how we're redefining authenticity in an age of artificial intelligence.