The Rest Does Not Pass
On the end of shared attention
Human attention time peaked sometime around 2024.
Production kept going. Throughput did not.
Nobody was measuring the gap.
What you feel
You are not imagining it. Something changed, and it changed fast.
You consume more information than five years ago — more news, more messages, more updates, more content of every kind. And yet you feel less oriented, not more. You finish a day of reading and deciding and you are not sure what you actually decided, or why. You have the sensation of having processed a lot and understood very little.
The differences between things are collapsing. A shop is interchangeable with the next one for a cent less. An opinion only exists if it is shouted, or endorsed by someone with a large audience. Products, services, articles, people — everything seems to occupy the same undifferentiated space. You know they are different, but you cannot feel the difference. The signal is there, but it does not cross.
FOMO has become permanent. Not the fear of missing a specific thing — the chronic sense that something relevant is always happening just outside your field of view, and you cannot stop looking.
Multitasking is no longer a choice. It is the default state. The idea of doing one thing completely, without an open tab, a notification, a background audio, feels like a luxury you cannot afford.
Decisions feel heavier. Not because they are more complex. Because the space in which you make them is noisier. You have all the information. You still cannot decide.
The future feels compressed. Not dark — compressed. Like there is less distance between now and what comes next. Less room to prepare, to think, to absorb a change before the next one arrives.
Expertise has become invisible. Fifteen years ago a specialist was recognizable. Today, every topic has a thousand voices of identical apparent authority. You cannot tell who knows and who performs knowing.
None of this is weakness. None of it is a failure of attention or intelligence. It is what happens to any system when the input exceeds the throughput capacity — and the input keeps growing while the capacity stays fixed.
What follows is not an interpretation of this experience. It is a structural model of the system producing it — with numbers, a formal framework verified across 14 independent domains, and a deterministic simulator. The experience is the entry point. The argument is what comes after.
The question is: does this have a structure? Can it be measured? Or is it just a feeling?
Why it happens
One cause is easy to see, and almost no one is talking about it correctly.
When you use AI to save time — to write faster, research faster, draft faster, respond faster — you gain something real. You get minutes back. But what happens to those minutes? They become more content. More messages. More output, released into a shared space where other people have to read it, filter it, evaluate it, and respond to it.
You saved one hour. You cost dozens of people fractions of hours. At scale, across millions of users, the net effect is not a gain in collective time. It is an acceleration of the input that everyone else must process.
Every person who adopts AI does not only accelerate themselves. They accelerate the consumption of attention for the entire population. It is an externality on other people’s time — invisible, unintended, and structural.
AI does not free time from the system.
It redistributes who spends it.
The total is fixed.
This is compounded by a second mechanism: the more content there is in a space, the less each individual piece can be distinguished from the others. The vocabulary of recognisably different things — arguments, styles, positions, products — has a ceiling. When production exceeds that ceiling, you are not getting more variety. You are getting repetition that looks like variety.
The result is the sensation you already know: you process more and understand less. Because more and more of what you process is structurally identical to what you have already seen, even if it looks different on the surface.
Can it be measured?
Until recently, the honest answer was: not precisely. The phenomenon was observable — everyone feels it — but there was no formal structure that connected the individual experience to a measurable system-level property.
The question needs to be reframed. The right measurement is not “how much information is being produced” — that number grows and is meaningless on its own. The right measurement is: how much distinguishable information crosses the boundary per unit of time? That is, how much of what is produced actually registers as something new, actionable, and different?
This is a harder quantity to define. But it turns out to be well-defined — and calculable — once you identify the structural conditions that govern it.
Those conditions are three. They are satisfied by the planetary information system the same way they are satisfied by a dozen other apparently unrelated systems — from prime number sequences to the periodic table, from Western music to the structure of fairy tales. When a system satisfies these three conditions, four properties follow inevitably. One of those properties is the efficiency paradox: the locally optimal strategy accelerates the consumption of shared space, rather than preserving it.
The framework that identifies and formalises these conditions is called Sub-Limit Dynamics. What follows are its findings applied to the information system we all inhabit.
The findings are not opinion. They are verifiable, falsifiable, and open to challenge. The reader is invited to contest the mapping — not the conclusions. If the mapping holds, the conclusions follow by necessity.
The data
