Invisibility by Volume: Why Nothing Stays Important Anymore

The thing that's actually changed

I caught myself doing something strange last week. A story broke that, ten years ago, would have dominated every dinner conversation. I read the headline, felt the small spike of "wow, that's bad," and then scrolled to the next thing. Forty-eight hours later, I couldn't remember which story it was.

That's not a memory problem. That's an environment problem.

We have spent a decade talking about information overload as if it were a productivity issue with too many emails, too many notifications, too many tabs. But the more interesting consequence is not that we can't get our work done. It's that the very concept of a thing being a big deal is quietly going extinct.

Attention is the only currency that ever mattered

Accountability that is "public, social, political, professional" has always rested on a simple mechanic. Something happens. Enough people notice. They stay focused on it long enough to push for a consequence. Take any of those three steps away and accountability evaporates.

For most of modern history, the bottleneck was step one: things happened that the public never heard about. Newspapers had limited pages. Broadcast had limited minutes. Plenty of misdeeds slipped through because there simply wasn't room for them in the news cycle.

That problem has now inverted. There is infinite room. Every event, every leak, every accusation, every clip can find an audience. But the second step of ” staying focused long enough ” has gotten brutally hard. Outrage requires synchronization. A scandal needs millions of people looking at the same screen at roughly the same time, asking the same question, demanding the same answer. When everyone's feed is bespoke, when the algorithm hands each person a different bonfire to gather around, that synchronization never happens.

The result is counterintuitive but, once you see it, undeniable: the louder the world gets, the easier it becomes to do something quietly. Volume is the new camouflage.

The enterprise version of this same problem

Inside a large company, "everything is on fire" is functionally the same as "nothing is on fire." When every Slack channel has a red dot, every dashboard shows a warning, every executive deck claims an urgent strategic shift, and every meeting is labeled critical, the brain does what it always does. It triages by tuning out. The genuinely urgent items get buried in the same noise as the manufactured ones, and the people who quietly do the most damage are not the ones screaming the loudest. They're the ones moving steadily in the background while the rest of the org chases the latest crisis-of-the-week.

What AI is about to do to this

Here's what makes the next five years different from the last five.

Until recently, producing a piece of compelling content "a convincing news clip, a believable photo, a polished opinion essay, a fake earnings memo” took real effort. Even bad-faith actors had a cost function. Generative AI has collapsed that cost to nearly zero. Anyone can now flood any topic with thousands of plausible-looking pieces of "coverage" in an afternoon. Audio that sounds like a CEO. Video that looks like a politician. Screenshots of conversations that never happened.

The defensive instinct is to talk about detection ”watermarks, provenance standards, classifiers that can tell real from synthetic". Those are necessary, and I support every serious effort in that direction. But they miss the deeper failure mode, which is not that any single fake will deceive everyone. It's that the existence of plausible fakes makes the real thing forgettable too. When you can't tell what's true and there's too much of everything, the rational response is to disengage. Cynicism is the equilibrium.

It just makes you stop looking for the real story.

What I think actually helps

I don't think the answer is to consume less news. That advice is well-meaning and basically useless and it's the personal-hygiene version of a systemic problem. But there are a few habits I've started forcing on myself, that seem to actually push back against the noise.

1. Pick a small number of things to actually track. Three to five issues, max. Read about them deeply, over months, from sources that have a reputation to lose. Everything else gets the headline-only treatment. This is not ignorance, it's the exact opposite. You can't have an informed opinion on forty topics. You can on four.
2. Distinguish news from narrative. News is a thing that happened. Narrative is a story about what the thing means. The internet now produces roughly a thousand units of narrative for every one unit of news. Most of what feels like "staying informed" is actually consuming narrative - "opinion, reaction, take, counter-take". Cut the narrative out and the volume problem mostly solves itself.
3. Inside your organization, kill the false-urgency tax. "P0" is engineering shorthand for Priority 0, the highest possible severity, "drop everything, fix this now." Other priorities run P1 (urgent but not catastrophic), P2 (important), P3 (nice to have), and so on. If everything is P0, nothing is. Leaders who can't do this triage of identifying the real priorities are not protecting their people from noise, they're contributing to it.
4. Use delay as a filter. Most stories that feel urgent on day one are forgotten by day seven. A simple rule: don't form a strong opinion on anything for 72 hours. If a story still matters after three days, it's probably real. If it's gone, it was noise. This costs nothing and protects you from about 80% of manufactured outrage.
5. At work, make priority visible and finite. Don't ask your team to feel the priorities - show them - A physical or digital board with the exact things to do, and the order in which it should be done. When something new arrives that someone wants to call urgent, the question becomes "which of these does it replace?" Forcing the trade-off out loud kills most fake P0s without you having to argue each one.

The bet

The people and institutions that figure out how to focus attention deliberately, in defiance of the algorithmic firehose, are going to have an enormous edge over those who don't.

That edge will look like trust. It will look like organizations whose people know exactly what matters this quarter. It will look like communities that can still get angry about the same thing at the same time and turn that anger into action. It will look like leaders who can hold attention without manufacturing emergencies.

The question is whether we're going to keep building things and make decisions based on the noise, or start building things that pull people back into focus.

I know which side I'd rather be on.