The Great Beige-ification

AI Is Writing Our Personality (And It's Really Bloody Boring)

There’s a café near my house that serves what they call “artisan coffee.” They’ve got the whole aesthetic down: exposed brick, reclaimed wood tables, a chalkboard menu written in that font that looks like a primary school teacher having a breakdown.

The other day, I picked up one of their promotional leaflets and started reading. “We’re passionate about crafting exceptional experiences through sustainable, ethically-sourced beans that celebrate community and elevate your daily ritual.”

I read it twice. Then I checked the bin to see if there were any others. There were.

From the bakery next door: “We’re passionate about crafting exceptional experiences through artisan, locally-sourced ingredients that celebrate community and elevate your daily ritual.”

From the bloody yoga studio down the road: “We’re passionate about crafting exceptional experiences through mindful, holistically-sound practices that celebrate community and elevate your daily ritual.”

It was like discovering that everyone in the neighbourhood had been replaced by the same slightly over-caffeinated bulshitting pod person.

When the Machines Started Writing Like Each Other

Which is exactly what happened when I started paying attention to the content being pumped out across the internet. Everywhere you look, it’s the same verbal beige. The same “delighted to announce,” the same “thrilled to share,” the same structural DNA of enthusiasm without substance. I’ve seen product descriptions, blog posts, LinkedIn updates, and customer service emails that could’ve been written by the same exhausted algorithm.

And to be honest, they probably were.

I didn’t spot it immediately because I’m an idiot. I’d gotten so used to the background hum of corporate-speak that I’d stopped hearing it. But once you notice it, you can’t un-notice it. It’s like realising that every single person you meet is wearing the same shade of beige trousers. Technically fine. Functionally adequate. Utterly, soul-crushingly identical.

The Mechanics of Mediocrity

Large language models are trained on enormous datasets of existing content. That content includes billions of words of marketing copy, blog posts, product descriptions, and corporate waffle. The models learn patterns. They learn that “we’re passionate about” gets followed by “crafting exceptional experiences.” They learn that blog posts should have certain structures, certain rhythms, certain safe, inoffensive tones.

And then they regurgitate it. Beautifully. Flawlessly. Without deviation.

The result is content that’s technically perfect and utterly interchangeable. It’s like mass-producing personality. Every piece sounds like it was written by someone who desperately wants you to know they’re enthusiastic without actually committing to any specific emotion. It’s the verbal equivalent of a smile that doesn’t reach the eyes.

The worst part is that this insanity works. Sort of. These tools produce content that ticks every box on the checklist: readable, professional, optimised for search engines, and completely devoid of anything that might offend or surprise anyone. It’s teh written equivalent of Magnolia paint. Safe. Neutral. Designed to appeal to everyone and therefore memorable to absolutely no one.

What To Watch For

I’ve learned to spot the beige. It’s become a reflex, like checking food labels or avoiding eye contact on public transport. Here’s what I look for:

The enthusiasm gap. If someone’s claiming to be “thrilled” or “delighted” or “passionate” about something mundane, that’s a red flag the size of a Soviet military parade. Real humans are specific about their enthusiasm. They’ll tell you WHY they’re excited, using words that actual people use in conversation. AI-generated content just deploys enthusiasm like tactical missiles without explaining what it’s actually excited about.

The structural clone problem. I’ve started noticing that AI content follows templates so rigidly you could set your watch by them. Introduction with a hook. Three main points. Each point gets its own subheading. Conclusion that restates everything you just read. It’s like watching someone follow IKEA instructions for building an opinion.

The metaphor desert. Here’s the tell: AI-generated content rarely uses specific, weird, memorable metaphors. It won’t compare anything to a damp towel or a disappointing sandwich or the feeling of stepping in a puddle with fresh socks. It sticks to safe, generic comparisons or avoids them entirely. Real humans think in strange images because our brains are messy and make odd connections. AI thinks in patterns and statistical likelihood.

The personality vacuum. This is the big one. AI content sounds like it was written by someone who’s never had a strong opinion about anything. It hedges. It qualifies. It uses phrases like “it’s worth noting that” and “it’s important to consider” without ever actually NOTING or CONSIDERING anything controversial. It’s the written equivalent of someone at a dinner party who agrees with absolutely everyone to avoid conflict.

What You Can Actually Do About This

Right. Here’s the useful bit, delivered with the appropriate amount of cynicism because I’m not a self-help guru and I don’t want to be.

First: assume everything you read online might be AI-generated until proven otherwise. I’m not saying be paranoid. I’m saying recalibrate your baseline assumption. That product review? Probably AI. That blog post about productivity tips? Almost certainly AI. That heartfelt LinkedIn post about lessons learned? Yeah, probably AI wearing a sincerity mask.

Second: look for the human signals. Specific details. Weird tangents. Genuine emotion, even if it’s negative. Self-deprecation. Mistakes. Real humans make typos, go off on rants, use overly-complicated metaphors about public transport, and occasionally contradict themselves because we’re thinking as we write rather than optimising for coherence. If the content feels too polished, too perfect, too aligned with what you’d expect, it probably came from a model rather than a mind.

Third, and this is crucial: if you’re CREATING content, actively resist the beige. Don’t let AI tools smooth out your personality in the name of professionalism. Don’t let them sand off your rough edges. Those rough edges are what make you sound like a human rather than a corporate hostage reading from a script. Use AI to handle the boring structural bits if you must, but don’t let it do your thinking. Don’t let it choose your metaphors. Don’t let it decide your tone.

Because the more AI-generated content floods the internet, the more valuable actual human voice becomes. The beige-ification creates a gap in the market for anything that sounds like it came from an actual person with actual opinions. You just have to be brave enough to sound like yourself rather than like everyone else.

The Café Epilogue

I went back to that café the other day. Still serving good coffee. Still got the exposed brick and the reclaimed wood. They’ve still got their leaflet, but I noticed something significant: their chalkboard was different. Someone had clearly given up on the optimised-bland approach. At the top, it now just says “Good coffee. No crap.”

Four words. Specific. Human. Memorable.

The beige is optional. You just have to be willing to admit that sounding like everyone else is actually the riskiest strategy of all.