Information Technology Has Nothing to Do with Computers

I have been writing code since I was nine. I have spent my career building software systems, leading engineering teams, shipping products. I say this so that what follows is not mistaken for ignorance of the field. I know what the industry calls Information Technology. I just think the name has been hijacked.

When people say IT, they mean servers, databases, programming languages, network infrastructure, cloud platforms, ETL pipelines. They mean the machinery. Somewhere along the way, the field named itself after the most interesting thing in the universe and then spent all its energy on plumbing.

Take the words apart. Information. Technology.

Information is not data. Data is raw measurement. Information is what you extract when you interpret data in context. A number is data. Knowing what the number means, why it changed, and what it implies about what happens next is information. The difference is not pedantic. It is the difference between a thermometer reading and a diagnosis.

Technology is not machinery. The word comes from the Greek "techne," which means craft or art, and "logos," which means reason or principle. Technology is the systematic application of knowledge toward a practical end. A database is a tool. The technology is the principle by which you decide what to store, how to structure it, and what questions to ask of it.

So Information Technology, taken literally, is the craft of working with information. How we collect it. How we interpret it. How we transform it. How we use it to make decisions, build models of reality, and extend what we are capable of knowing and doing.

Computers are one tool for this. An important one, obviously. But they are not the thing itself. Writing was information technology. The printing press was information technology. Language itself was information technology. Each one changed what humans could know, remember, communicate, and coordinate. Each one was a step change in the resolution and bandwidth of human understanding.

Why This Matters

If you define IT as computers and code, you optimize for faster processors, cleaner architectures, better frameworks. Useful work. But the ceiling is low. You are optimizing the plumbing.

If you define IT as the craft of working with information, the scope changes entirely. Now you are asking: what information is currently invisible to us? What signals exist that we have no instruments for? What would change if we could collect, interpret, and act on information that is currently out of reach?

This is not abstract philosophy. Every major expansion of human capability has been an expansion of our information reach. We could not coordinate large groups until we had writing. We could not accumulate knowledge across generations until we had printing. We could not model complex systems until we had computation. Each step gave us access to information that was previously inaccessible, and each step changed what it meant to be human.

The pattern suggests that the next major transition will also be an information transition. Not faster computers or bigger datasets, but access to a fundamentally new class of information that is currently invisible to us.

The Post-Human Question

I use "post-human" not in the science fiction sense of replacing biology, but in the sense of what comes after the current limits of human cognition and perception. We already live in a partly post-human state. No individual human can hold the knowledge of even a single scientific discipline in their head. We rely on external information systems (books, databases, the internet, and now AI) to extend our cognitive reach far beyond biological limits.

But the interface between our biology and our information systems is still crude. We type. We talk. We look at screens. The bandwidth is narrow, and the translation losses are enormous. Ideas that exist as rich, multidimensional structures in the mind get compressed into sequential words. The receiver decompresses them imperfectly. Most of the original signal is lost.

The next step is not better screens or faster typing. It is expanding the information channel between minds and systems. Between minds and other minds. Between minds and reality.

This is what I am working on. Not the neuroscience. Not the quantum physics. Not the hardware. The information layer. How to collect signals that have never been collected, how to interpret them, how to build the data architecture that makes sense of them.

I am an IT person, in the original sense of the words.