AI Made Everything Good. Now Good Is Useless.

AI can write. It can design. It can produce a mostly competent first draft of almost anything in about twelve seconds. And that is wild (in a good way). The amount of time that used to disappear into blank page paralysis alone makes this whole AI thing worth it.

But something quietly strange has happened alongside all that capability. When everyone can produce polished output quickly, polished output stops being the thing. The floor got higher. So did the noise.

What AI Actually Does Well

To be fair to the technology, it's remarkable at what it does. AI is a pattern-matching machine trained on more human output than any one person could consume in a lifetime. Ask it to write something, summarize something, and it will produce work that is structured, coherent, and technically correct most of the time.

That's genuinely useful. It's also, if you look at it from a certain angle, the limitation.

AI learned from everything that already exists. Which means it's very good at producing things that feel like everything that already exists. Safe structures. Familiar rhythms. Choices that land somewhere in the comfortable middle of what's been done before. It's not out there blazing new trails, but it is quietly following the paths that have already been cleared.

The Uniformity Problem 

When the same tools are available to everyone, the outputs start to converge.

This is the part that tends to get left out of the "AI is raising the ceiling" conversation. Yes, the ceiling is rising. But it's rising for everyone at roughly the same rate, which means everyone's work is starting to look a little more like everyone else's work. Same cadence. Same structure. Same everything-covered-no-real-stake-taken energy.

You've probably felt this as a reader, even if you haven't named it. There's a texture to a lot of AI-assisted content right now that's hard to pin down but easy to recognize. (And no, em dashes do not automatically mean something was written by AI. That's a hill I'm prepared to die on).

That's not a knock on the tools. It's just what happens when a technology optimizes for the middle.

What Taste Actually Is

Taste gets talked about like it's a vibe or an aesthetic preference, but it's more functional than that. Taste is judgment. It's knowing which idea to lead with and which one to cut. Knowing when a piece needs more and when it needs less. Knowing what angle nobody else has taken on something that's been written about a hundred times.

It comes from a specific accumulation of experiences, opinions, influences, and failures that no model was trained on. Your taste is the product of every book you absorbed, every project that didn't suceed, every time you had a strong reaction to something and spent time thinking about why.

AI can approximate a lot of things. It cannot approximate that. It has no stake in the outcome, no genuine point of view, no history of caring about anything. It produces work from the center of what's been done. Taste is what pulls work away from the center.

What This Means for How You Work

This isn't a case for using AI less. It's a case for being clearer about where you have to show up yourself.

There's a category of work where competence is the whole job. Summarizing a document. Drafting a routine email. Producing a first pass at something that will get heavily edited anyway. AI is excellent here, and there's no good reason to do it the slow way.

Then there's a category of work where your specific perspective is the whole point. The argument only you would make. The creative decision that reflects an actual opinion. The thing that has a discernible human behind it. That work doesn't get better when you hand it off. It gets blander.

The people whose work stands out right now aren't the ones using AI the most or the least. They're the ones who know the difference between those two categories and stay in the driver's seat for the second one.

The Thing About the Rising Floor

A higher floor is good news if you have something to say. It means the grunt work is cheaper and faster, which means more of your time and energy can go toward the part that actually requires you.

It's less good news if the plan was to stay comfortable in the middle. The middle is getting more crowded and less distinguishable by the day.

AI raised the stakes for taste. It didn't lower them. The output ceiling is higher than it's ever been, and so is the reward for work that clears it with something to spare.