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Note · Jan 18, 2026

Web3 Has an Artificial Complexity Problem

There are too many people in this industry who inflate their value by making simple things sound overly complicated. Not because the problem is complex, but because complexity sounds expensive.

In Web3, people love turning basic engineering decisions into philosophical debates. They wrap the simplest ideas in overengineered language just to appear smarter than the client.

A basic system becomes:

"a modular, cross-layer, cryptographically abstracted execution environment with adaptive liquidity routing"

And then it turns out it is just a backend with a database.

The issue is not even intelligence, it is insecurity.

When someone truly understands a system, they try to explain it using clear and simple words. They do not need excessive technical terminology. They do not need to hide behind jargon.

Real experience simplifies.
Fake experience complicates.

As a CTO, I have started to see clear patterns:

  • Long explanations, no concrete answers.
  • Impressive words, no real architecture behind them.
  • Complex diagrams, fragile systems.

AI just made this worse.

Almost anyone can open ChatGPT and generate sophisticated-sounding language in seconds. Reports look polished. Explanations sound technical, but do not actually say much.

If someone cannot explain the system simply, they probably do not understand it deeply enough.

Web3 does not need more complexity.
It needs more competence.

I will give you my own experience.

I have been on a lot of calls with security auditors. And sometimes it feels less like a technical review and more like a performance.

You ask a simple question, and get a five-minute explanation filled with terms that sound impressive, but do not really say anything specific.