You know the block. Hand soap that smells like a forest, a fitness studio charging $42 a class, a salad situation that takes itself seriously, and a candle whose entire purpose is to signal, without stating, that the person who bought it has a rich interior life. The block is in Boston and Denver and Austin and the newly interesting neighborhood in every city that has one, and it is, everywhere it appears, exactly the same block. The women who built it didn't know they were building a template. They were just living their lives, making choices, finding things they liked before anyone else was paying attention.
Here is what most people say happened next: corporations studied those women, copied their taste, and sold it back to everyone at scale. Aesop turned one woman's 1998 apothecary find into a $2.5 billion acquisition. Sweetgreen turned another woman's farmers market habit into a $5 billion IPO. The women who built the appetite for these things received nothing from those transactions except the quiet satisfaction of having been right before it was obvious.
That story is accurate, and it's also not the most interesting part.
What the machine actually took wasn't her aesthetic. Aesthetics can be rebuilt. The system works like this: independent taste emerges, companies study it, they study the signals used to authenticate it, and then they reproduce those signals at scale. What it took was her eye, the ability to walk into a room and immediately know whether something is real or a very good imitation of real. That capacity has been quietly and quite deliberately compromised, and most women who've felt the damage haven't been able to put a finger on exactly what changed.
The Instrument
A good eye doesn't arrive fully formed. It gets built over years of caring about things before other people decide those things are worth caring about, of being wrong sometimes, of slowly developing a feel for what genuine quality actually is versus what genuine quality has been designed to look like. The woman who put in that work came away with something valuable: she could walk into a store, a restaurant, or a neighborhood and read the room. She could feel the difference between a place with a real point of view and a place that had studied places with real points of view. The seams showed, and she knew where to look.
For a while, that was enough.
The early taste chains were catchable if you were paying attention. The first Sweetgreen had the texture of a company that had done its homework on the farmers market without actually growing from it, the lighting a little too deliberate, the menu language a little too knowing, the whole thing slightly stiff in the way that a very good student can seem stiff next to someone who just knows. A developed eye could catch it, and the difference was feelable.
The machine noticed it was being caught and spent the next fifteen years studying the problem.
The Current Generation
What the industry figured out, eventually, was that copying the aesthetic wasn't enough. It needed to copy the signals she used to authenticate the aesthetic, the specific cues her eye had been trained to read as evidence of the real thing. So it studied those too. The ceramicist look available at Target now isn't obviously fake because Target hired someone who trained under the ceramicist, sourced from the same suppliers, and photographed everything in the same light. The clean beauty brand launched by a private equity firm in 2019 has a founder story, a sustainability page, a spare visual identity, and a product that performs about as well as the indie brand it was built to resemble. The hotel in the neighborhood she used to love has exposed concrete, a thoughtful coffee program, local art on the walls, and a parent company that owns 47 other hotels designed to produce the exact same feeling.
Her eye was trained on an older generation of copies. This one was built specifically to get past her.
The Accumulated Damage
The result is that she makes mistakes she didn't used to make, buying the engineered version of the thing she was actually looking for, recommending the restaurant that turns out to have been designed by a hospitality group that has studied every restaurant she's ever recommended, telling a friend about a brand she discovered and learning, with some gentleness, that it was acquired eighteen months ago. These aren't failures of taste. They're what happens when a finely calibrated instrument gets used against a target it wasn't designed to detect.
What builds up over time is a low-grade uncertainty that wasn't there before, a slight pause before making a recommendation, a second-guessing of instincts that used to feel reliable. It's subtle enough that it doesn't announce itself, which is part of what makes it effective. A woman who doubts her own eye is more likely to lean on the signals the machine has learned to produce, which makes her more susceptible to the next generation of copies, which deepens the doubt. The machine didn't just study her preferences. It found a way to make her less sure of them.
The Research Is Happening Now
The easier version of this story is set entirely in the past, with Aesop and Sweetgreen as cautionary history. The less comfortable version is that the cycle is running right now, on whatever she's finding before it's obvious: the small-batch perfumer she discovered two years ago, the linen company out of Portugal with the six-week lead time, the restaurant in the neighborhood that hasn't been written up yet. These are in the observation phase. The franchise version is being designed somewhere, it will open in a few years and smell exactly right, and whether her eye will catch it is a more open question than it would have been ten years ago.
What Actually Works
The machine is very good at surface signals, the visual restraint, the material choices, the specific register of quiet that her eye learned to associate with quality. What it hasn't figured out, and can't easily systematize, are the things underneath: who actually made the decision to do it this way, what they had at stake, whether the simplicity she's responding to came from a genuine point of view or a brief that said "make it feel artisanal." Those questions require more than looking. They require a line of inquiry that goes behind the thing itself into the structure that produced it, who owns it, what they need from it, whether there's a real sensibility at the center or a very accurate simulation of one.
Her eye isn't gone. It just needs a new calibration, one that goes deeper than the signals she originally trained it on. The block will keep appearing in new cities, the hand soap will keep smelling like the forest, and the machine will keep getting better at what it does. It didn't learn to imitate taste. It learned to imitate authenticity.
Modern Monclaire maintains no commercial relationships with any brand mentioned in this piece.