The Great Tech Mirage
Every generation believes it’s finally solved the information problem. First came filing cabinets, then databases, then the cloud, then AI. Each promised to end confusion, redundancy, and error — yet the opposite seems to happen.
The more sophisticated our tools become, the more bewildered we feel.
That’s not a failure of technology. It’s a misunderstanding of what kind of problem information really is. Technology solves mechanical problems — speed, scale, repetition.
Information problems are human — about meaning, attention, and trust. And those, unfortunately, don’t run on software.
The Behavioral Mismatch
We don’t design systems for how people actually think. We design them for how we wish they thought: rationally, linearly, predictably.
Then we’re shocked when people don’t fill out the CRM, don’t update the dashboard, or don’t tag their files “correctly.”
As Rory Sutherland likes to say, “There’s logic, and then there’s human logic.”
And human logic is gloriously messy. It’s emotional, associative, status-driven, and biased. It’s also the only kind that matters.
When a technology solution ignores human behavior, it becomes a bureaucracy in silicon — perfectly organized, and perfectly useless.
The Context Extraction Problem
Information doesn’t exist in isolation.
It’s born in conversation, shaped by culture, and interpreted through context.
Once you strip that away — turn it into data fields, templates, or dashboards — you’ve amputated the very thing that made it meaningful.
You end up with numbers that look authoritative but explain nothing.
That’s why “integrated systems” often produce incoherent organizations. The API connects the databases, but not the minds. Everyone’s dashboard tells a slightly different truth, and no one can see the whole picture.
Automation: The Great Multiplier of Misdesign
When information design is poor, automation just makes it fail faster.
- A confusing process done by hand wastes minutes.
- A confusing process done by AI wastes meaning at scale.
This is why every digital transformation eventually hits the same wall: it automates without asking why. It scales dysfunction without design.
Technology is an amplifier, not an architect. It doesn’t fix broken thinking — it institutionalizes it.
The Empathy Deficit
Real information design begins with empathy — not efficiency.
It starts by asking: What does this person need to understand right now, in this situation, to make a better decision?
That’s not a question software can answer. It’s a question of imagination.
Interfaces can transmit data, but only empathy transmits understanding. When we forget that, we end up optimizing systems that nobody loves, nobody trusts, and nobody really uses.
The Three Dimensions of the Problem
If we’re serious about fixing information, we have to look beyond tools. Information design failures fall into three categories:
1. Cognitive
We forget that people have limited attention, memory, and context.
Technology doesn’t make us smarter — it just gives us more to ignore.
2. Structural
We build systems to serve vendors, not users. “Integration” means the tools talk to each other, but humans don’t.
3. Cultural
We reward compliance over clarity. We treat information management like a policy issue, not a design discipline.
Until these three align, the tools don’t matter.
The Human Reboot
Information design isn’t about better software; it’s about better sensemaking. It’s about asking better questions before you start building answers.