In 2019, I wrote an article called “Information Overload.” At the time, it was more of a personal reflection than a technical piece. I was thinking about how fast everything felt, how feeds never ended, and how the internet had quietly shifted from something we visited into something we lived inside.
Seven years later, that article hits differently. Not because it was wrong, but because it was early.
Back then, information overload felt like a content problem. Too many posts, too many notifications, too many tabs open. Today, it feels deeper than that. It’s not just about what we consume. It’s about how our world is structured, how work flows, how decisions surface, and how much cognitive load we carry just to exist inside modern systems. Re-reading that article now, I can clearly see what I got right, what I missed, and how much has changed.
What I Got Right
The biggest thing I got right was direction. I wrote about the sense that the internet had crossed a line, that it was no longer a tool we picked up but an environment we lived within. That observation aged exactly the way you’d expect. Connectivity is no longer a feature. It is infrastructure. Work, relationships, entertainment, banking, navigation, healthcare, collaboration, all of it assumes permanent connection. We don’t “go online” anymore. We are online.
I also got the acceleration right. Even in 2019, it was clear that information wasn’t just growing, it was compounding. More platforms, more creators, more devices, more data sources. What I couldn’t fully articulate then, but feel very clearly now, is that we crossed from having “a lot of information” into living inside continuous information. There is no longer a beginning or an end to the stream. There are only layers.
Lastly, I was right about the human side. The strain. The subtle burnout. The way attention itself started to feel like a limited resource. Over the past seven years, we’ve watched “being busy” turn into “being cognitively saturated.” Notification fatigue, meeting fatigue, context switching exhaustion, decision burnout. None of that feels theoretical anymore. It’s just the baseline experience of modern work. The human brain did not change. The environment did.
What I Got Wrong
Where I missed was assuming this would remain mostly a human discipline problem. In 2019, the obvious solution was more discipline. Less scrolling. More awareness. Better boundaries. That still matters, but it turned out not to be enough. The scale got too big.
What I didn’t fully anticipate was that machines would become the buffer layer. Today, most people don’t encounter raw information first. They encounter processed information. Summarized threads. Curated digests. Highlighted priorities. Suggested actions. The problem quietly shifted from “there is too much information” to “who is shaping the information I see.” That’s a much bigger and more architectural challenge than I framed back then.
I also underestimated how central memory would become. I thought distraction would be the battlefield. Instead, it’s turning into recall, continuity, and organization. We are no longer just trying to avoid noise. We are trying to preserve meaning across conversations, meetings, apps, and months of work. The modern problem is not finding information. It’s reconstructing context.
And maybe the biggest miss is that I didn’t see how proactive systems would get. Technology used to wait for us. You clicked. You searched. You opened. Now systems observe, infer, surface, propose, and connect. Information overload is no longer just inbound. It’s cognitive. It’s about managing streams of suggested decisions. That fundamentally changes the relationship between humans and tools.
What’s Changed Recently That Really Matters
What’s struck me over the last few months is how clearly the industry is now building around this problem. Recent platform updates across productivity, collaboration, and consumer tech are far less focused on generating content and far more focused on organizing it. Email systems are becoming intelligent work queues. Collaboration platforms are turning conversations into structured outputs. AI layers are being embedded not to talk, but to watch, remember, summarize, and coordinate.
At the same time, hardware is starting to reflect the same shift. New devices are less about screens and more about capture. Passive audio, meeting memory, and personalized reminders. We are actively building cognitive systems now. Not gadgets. Memory infrastructure.
Culturally, something else is happening too. The conversation is no longer just about disconnecting. It’s about designing better systems. That is a very different mindset than “turn your phone off.” It suggests we’re finally treating information overload as a design problem, not a willpower problem.
Final Thoughts
When I wrote Information Information Overload, I was reacting to a feeling. The sense of being surrounded. The sense that something fundamental had shifted. Today, we’re not surrounded by information. We are embedded inside intelligent systems that shape what we see, what we remember, and what we act on.
The encouraging part is that the tools are finally evolving to respect that reality. We’re moving away from endless feeds and toward cognitive frameworks. Away from pure consumption and toward sense making. Away from noise and toward navigation.
The problem hasn’t gone away. But the way we’re approaching it has matured.
Information overload is no longer just about volume. It’s about architecture. It’s about filters. It’s about who designs the layers between humans and the technology we use.