2026 Volume 5 Pages 73-82
This paper revisits the meaning of “thinking for oneself,” with the widespread adoption of AI in modern workplace as a backdrop. We argue that thinking for oneself does not imply the complete exclusion of external information, but it entails judgment, structuring, cross validation, and metacognition. The paper explores these four processes in depth, clarifies the potential roles of AI in each, and integrates them into a comprehensive framework. Together, “thinking for oneself” is conceptualized as a process of identifying the gap between the desired and current states, organizing ideas, verifying logical consistency, and deriving conclusions under one’s own responsibility.