This paper argues that most organizations do not fail to innovate because of insufficient talent, poor execution, or lack of ideas, but because their internal structures are optimized to suppress emerging paths before they can survive. Rather than treating organizational structure as merely hierarchy or process, this article reframes structure as a selection mechanism that determines visibility, resource allocation, evaluation timing, and decision authority. Drawing on systems thinking, organizational theory, and biological analogy, the paper introduces the concept of an “evaluation immune system” to explain how mature organizations systematically filter out uncertainty, deviation, and weak signals. The paper identifies two core structural tensions that shape innovation outcomes: static efficiency versus dynamic adaptability, and certainty versus discovery. It further explains why organizational success often reinforces rigid evaluation logic, making innovation increasingly difficult over time. Using examples such as Meta, Amazon, and SpaceX, the article proposes several structural levers for improving innovation survivability, including evaluation delay, protected resource envelopes, decentralized early-stage judgment, and strategic redundancy. The central argument is that leadership in complex organizations is not primarily about making better decisions, but about designing selection pressure so that emerging possibilities are not prematurely eliminated. This article is intended as a conceptual framework rather than an empirical study.
Ge Zhao (Sun,) studied this question.