There is a face you have seen ten thousand times. Straight nose, narrow at the bridge. Full lips, defined cupid’s bow. Laminated brows. Skin so filtered it reads less as human than as a very convincing render. The eyes are slightly cat-like at the corners — achievable through surgery, through tape, through a seventeen-step tutorial, or through any filter that does it free in under a second. The face is beautiful. And it is—if you spend any time online, absolutely everywhere: on women who live in different countries, speak different languages, grew up in different cultures, and have nevertheless arrived, through personal choice and algorithmic pressure, at the same coordinates.

We have invented the optimal face. We are all moving toward it. The interesting question isn’t whether this is good or bad. It’s how it happened without anyone deciding it should.

The answer, like most answers about why the modern world is the way it is, involves money.

Late capitalism’s great trick is making structural outcomes feel like personal choices. You didn’t end up dressing like everyone else because a system designed it that way, but because you wanted to, and because the options available happened to be these options, because the algorithm showed you these references. After all, the fast fashion site stocked these pieces. A thousand individual decisions, freely made, that somehow produce a single crowd in the same outfit.

Walk through any major city and try to find someone whose clothes surprise you.

Last summer, I took a trip to Washington for a couple of days. The D.C. metro area isn’t a fashion mecca like New York City or Atlanta, but it does draw a crowd with a very distinct aesthetic. Just walking down Capitol Hill, I spotted at least 10 people wearing platform loafers or high-waisted straight-leg jeans. I found myself contributing to that style, too. I had done my research beforehand, scrolling through countless TikToks and Reddit threads about what people in D.C. wear, and curated an outfit accordingly — a pastel-yellow boxy button-down shirt, washed black straight-leg jeans, and chunky Doc Martens loafers. Even the most D.C.-native resident wouldn’t have been able to tell me apart from the locals.

This happened because the systems that used to produce individual taste, subcultures, local scenes, and the private accumulation of influences that eventually became a style have been dismantled by the internet’s speed and replaced with a single, continuously updated global feed. A subculture used to take years to commodify. Someone developed a look; it spread slowly, through geography and social friction. By the time it reached the high street, the people who invented it had moved on. The gap between origin and commodity was where the culture lived.

Now the gap is three weeks. A look emerges on TikTok, gets named — “mob wife” and “quiet luxury,” because a name means it can be searched and sold.

retail webstore, worn by millions, and gets declared and discarded over by the same algorithm that made it. The whole cycle, from invention to landfill, is under a month.

Ask someone to describe what the 1970s looked, sounded and felt like. Easy. The 1980s — a completely different answer, immediate and confident. The 1990s: another rupture, another world. Each decade was legible as itself because it was genuinely, sometimes violently, new.

Now describe what the 2020s look like. The question produces a strange flatness. What we have is an accelerating recycling of previous decades — each “new” trend a revival, each dominant aesthetic a nostalgia delivery mechanism. Y2K came back. Then the, 70s. Then, 90s grunge. Then “old money,” which is just the 1950s repackaged for people who find the 1950s aspirational. The content machine that was supposed to produce culture has instead produced a sophisticated system for repackaging it.

Hollywood no longer makes films in the traditional sense — it manages IP portfolios, asks not “what story should we tell?” but “which pre-tested emotional product is under monetized?” The sequel is a financial decision, and a rational one, because audiences whose attachment was formed in childhood aren’t judging the new installment on its merits. They’re paying to feel something they already felt.

What they’re all selling, beneath whatever aesthetic they’ve dressed it in, is memory. Nostalgia is the ultimate late-capitalist product: it requires no genuine innovation, arrives pre-emotionally loaded, and is immune to the criticism that it isn’t original.

What we’ve built, at the intersection of algorithmic platforms, late-capitalist production logic, and the collapsed distance between creation and commodification, is a machine for producing sameness. It operates at a global scale. It touches the face you show the world, the clothes on your body, the music in your earbuds, the film you watch Friday night, the restaurant you go to afterward, which looks, of course, like every other restaurant.

And at every step, the machine tells you that you chose this. That these are your preferences, your recommendations, your style. That the version of you that lives in its data is the most authentically you you’ve ever been.

That might be the most unsettling part. Not that it made us all the same. But that it’s so good at making us each feel like the exception.