After checking your analytics three times before noon, you feel a certain way of being worn out. Not tiredness in the body, but something calmer. The thought that whatever you made this morning is already being looked over, ranked, and put away. That you don’t finish the work when you put it down. When the numbers say it’s over, it’s over.
This is what it’s really like to live in the algorithmic panopticon. Not the exciting spy novel-style surveillance, but the quiet hum of always being watched. Views, click-through rates, engagement windows, and retention rates. As soon as a creative act hits a platform, it becomes a data point.
Michel Foucault wrote about Jeremy Bentham’s panopticon, which was a prison where prisoners thought they were always being watched because they never knew when they were being watched. The point was the self-policing that came next. What Foucault probably didn’t expect was for that architecture to become something that everyone carries around with them and is willingly linked to every creative project they work on.
You should really think about the mechanics. Sites don’t punish bad art and praise good art. This is different, and sometimes it’s almost the opposite of what they reward. A listicle built around a popular phrase will do better than an essay that takes forty minutes to read and is full of deep thought. A painting that is quiet and well-done technically doesn’t make as much of an impression as one that uses neon colors and a catchy title. It’s not mean to the system. It doesn’t care about the things that make work last.
A kind of drift takes place over time. The creators start to make small changes. A more interesting thumbnail here. That headline is a little more shocking. The hook gets stronger, and the subtleties are cut down. Each change makes sense, and some of them are even smart. When people look back on their work eighteen months later, though, many of them can’t quite recognize it anymore. Even though the style is theirs, it has been smoothed out in some way.
There’s a chance that this isn’t really called burnout or blank slate. It’s called optimization sickness. There are clear signs: you can’t start a project without worrying about how it will do, you edit automatically to fit the platform, and you start to worry that the work you really want to make is somehow careless.
The damage is real in the real world. When computers decide what people see, they set up feedback loops that push style toward the average. What did well last quarter determines what is made this quarter, which in turn determines what audiences expect, which in turn limits what is approved or boosted. Being original is not only risky, it’s also built that way.
There is a way out of this, but it requires deliberate distance, which is something that most productivity frameworks don’t talk about. There is a bigger difference between making something and publishing it than most creators realize. You’ve added a metric to your process as soon as you see a dashboard while you’re writing or drawing. Seeing how well something worked after the fact is not the same thing. One is feedback. Co-authorship is the other one.
Analytics that use time boxes are more useful than most people think. The emotional feel of the workweek changes when the data is treated like administrative paperwork that is looked over for thirty minutes on Friday afternoons and then filed away. It gets rid of the need to negotiate every hour between how much you want to make and how much the numbers say you should make. First, the work is done. The spreadsheet is the last thing.
Some artists do what you might call a “split practice” in secret. One project for the platform that was built to work. One project for themselves, which was made without any thought to strategy. This is where most of the interesting work lives: the second group. It’s also where ideas that eventually make it big come from more often than people think, because unmeasured work is the only kind that lets real risk happen.
It seems like this isn’t just an individual issue that needs an individual response. As a person, consistency costs a lot more than it does for a content pipeline, but the platforms are made to get it out of people. Email lists, local communities, and peer circles are examples of smaller, less closely watched audiences that offer something that the dashboard can’t: real human response. The kind that comes back as a response instead of a measurement.
We use metrics to track attention. They don’t keep track of when a piece of work changes the way someone thinks about something they weren’t questioning before. Even though some people in the analytics field talk about them as if they are the same, they are not.
There is no way out of the algorithmic panopticon. Living under surveillance is one thing, but letting surveillance make your decisions is quite another. One is a condition of the creative environment right now. The other kind of choice is one that is made slowly, without realizing it.
