Conversations don’t end anymore
Conversations used to finish
I’ve been thinking a lot recently about how modern communication has started to feel perpetual rather than finite.
Conversations used to terminate naturally. You’d call someone, speak for half an hour, then hang up. There was a sense of completion to it.
Even text messaging used to feel more discrete somehow. A conversation would happen, conclude, and disappear into the background of the day.
Now everything feels ambient and semi-open.
The half-open thread
A WhatsApp chat pauses at 9am with a voice note. Someone replies with a thumbs up three hours later. You answer the original question the next morning while waiting for a coffee. Then four days later the conversation resumes again as if no time has passed at all.
You’re never really done responding to the world anymore.
And I don’t think people fully appreciate how psychologically strange that is.
The cognitive airport
It reminds me a little of being stuck in an airport during delays. Eventually enough people become frustrated that they all rush toward the information desk at once, desperate for some kind of resolution, only to discover there’s nobody there.
The staff have disappeared into the back office because they don’t actually have the information required to resolve the situation anyway.
That increasingly feels like modern cognition: hundreds of people standing around waiting for closure that never properly arrives.
Because the queue never ends.
The modern phone is absurd
When I look at the modern phone now, it honestly feels cognitively insane. The number of communication surfaces we’re expected to manage simultaneously is absurd.
There are the obvious channels:
- iMessage
- Slack
- Telegram
- Discord
- LinkedIn messages
- Signal
- Instagram DMs
- Reddit inboxes
Then there are all the secondary systems layered on top: banking notifications, delivery apps, health reminders, calendar alerts, and random administrative pings generated by software that didn’t exist ten years ago.
We’ve become permanently reachable, and even the small acts of rebellion rarely stick.
I’ve lost count of how many times I’ve deleted apps from my phone in some brief attempt at digital minimalism, only to reinstall them two weeks later because modern social and professional life increasingly assumes continuous availability across multiple channels at all times.
I remember reading Digital Minimalism by Cal Newport and thinking a lot of the ideas sounded incredibly sensible in theory. But in practice, it feels much harder than simply “using technology less.” You tidy your system up temporarily, then entropy returns.
There doesn’t really seem to be an off switch anymore.
Organization becomes another queue
What’s interesting is that most of us keep trying to solve this problem through organization.
We move from Apple Notes to Notion. From Notion to reminders. From reminders to handwritten notebooks. We send ourselves WhatsApp messages because somehow that feels easier than opening a task manager.
We build careful systems for bookmarks, screenshots, tabs, saved posts and reading lists.
But eventually the organizational layer becomes another thing to organize.
You start using a system to manage the system itself.
Productivity misses the point
And I think this is where a lot of productivity culture quietly breaks down. The tools themselves aren’t necessarily bad. In fact, many of them are excellent. But they often misunderstand the nature of the problem.
Most productivity systems are built around queue management.
- Capture the task.
- Prioritize the task.
- Complete the task.
- Archive the task.
But human cognition doesn’t actually work that cleanly.
A difficult conversation with a friend isn’t a task. Neither is worrying about your child. Neither is the lingering feeling that you forgot something important two days ago but can’t remember what it was.
Neither is the emotional residue from a tense work conversation that quietly follows you into dinner.
A lot of modern productivity culture rewards movement rather than resolution.
Inbox zero feels productive because the queue is moving. Rapid responses feel productive because something is happening. But mentally, many of those loops remain partially open.
The exhaustion often comes from unresolved context rather than unfinished tasks.
Adulthood expands the surface area
And I think adulthood compounds this dramatically.
When you’re younger, fragmentation is mostly social. A few group chats, university deadlines, maybe work emails.
But over time your cognitive surface area expands.
You have a partner. Children. Staff. Clients. Financial admin. Family coordination. Health appointments. Travel logistics. Emotional obligations. More and more people simultaneously depending on your memory, your attention and your responsiveness.
The world doesn’t just get faster as you age. Your exposure surface grows.
The wrong kind of AI assistant
Which is partly why I’m not entirely convinced that the next wave of AI products automatically solves this problem either.
A huge amount of AI product design right now seems built around consolidation. One assistant for everything. One interface that manages your communication, schedules, memory, tasks and priorities.
On paper, that sounds compelling.
But I increasingly wonder whether more information and more memory necessarily creates more coherence.
Sometimes I suspect it may do the opposite.
Because once every conversation, obligation, reminder and thought enters the same unified cognitive layer, emotional nuance starts flattening. Urgency and importance become harder to distinguish intuitively. Prioritization slowly shifts away from human judgment toward whatever the system decides deserves attention.
You reduce friction, but you may also reduce agency.
Relief without flattening
And I think that tension sits underneath a lot of the uneasiness people currently feel toward AI.
Most people do not actually want to outsource their minds.
What they want is relief from fragmentation.
They want to feel less mentally scattered. Less continuously interrupted. Less burdened by dozens of unresolved loops quietly consuming cognitive energy in the background of everyday life.
In other words, I’m not sure the deepest modern problem is productivity.
I think it may be unresolved context.
And if that’s true, then the most important AI products of the next decade probably won’t just be the ones that help us execute faster. They’ll be the ones that help people maintain some sense of coherence without flattening the emotional texture of being human in the process.