Skills for the AI Era: Native-Language Fluency, Expression, and Thought Matter More Fundamentally Than Foreign-Language Ability
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Collected in Robin Shen’s Field Notes · Content type and attribution are shown above
English translation of the Chinese post originally published 2026-05-05. Translated 2026-10-31 with AI assistance. Historical figures and claims have not been updated or independently verified. 中文原文
Reading guide
Robin recounts a conversation with a startup CEO. AI may provide a certain level of translation and communication in the future, but people still need very strong command of at least one language to think deeply, analyze, organize, ask AI questions, and express themselves clearly. The CEO believes that after thirty years of science and engineering overshadowing the humanities, AI’s ability to perform basic logical operations will shift human value back toward feeling, understanding, imagination, and empathy. He sees a future for humanities graduates. The Industrial Revolution freed human physical labor; AI will free mental labor, requiring society’s underlying operating logic to be rebuilt. This is a retelling of a conversation, not a statistical or research finding.
Key points
- Retold view: AI can translate to a certain standard, but people still need fluency in at least one language.
- Retold view: AI excels at basic logical operations; human value lies more in feeling, empathy, and imagination.
- The Industrial Revolution freed physical labor; AI will free mental labor.
- A retold conversation and personal reflections, not research conclusions; as of May 2026.

Full text — English translation
These articles are personal notes, book excerpts, and collected reprints. Figures and events reflect the time of the original publication, are not current information, and do not constitute investment advice.
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