Autocatalysis

One-Line Definition

The output of a system accelerates its own production process, forming a positive feedback loop.

Core Concept

Autocatalysis occurs when an output of a system accelerates the system’s own operation. It is similar to the compounding effect and the flywheel effect—once started, it spins faster and faster.

What Problems It Solves

When information is incomplete, options are many, or risks are unclear, it helps you pull judgment from intuition back to structured analysis.

More specifically, autocatalysis is suitable for answering these types of questions: How can I better understand the current situation? How can I make more reasonable judgments and actions?

When to Use

• When the problem becomes complex and intuitive judgment is not reliable enough.
• When the team disagrees on the next move and needs a common analytical framework.
• When you need to turn abstract judgments into concrete actions, checklists, or experiments.
• When the effectiveness of current practices is declining and you need to re-examine the underlying logic.

When NOT to Use

• When the problem is simple and direct execution is more important than analysis.
• When basic facts are lacking and you’re just spinning concepts.
• When the model is used only to justify existing conclusions, rather than to help revise judgment.

Summary

Finding and activating an autocatalytic cycle is key to building lasting competitive advantage.