一位自学者自述：AI 帮我进入技术圈，也让我担心圈子会关上门
It doesn’t matter how we use AI, we are all in trouble
一个靠 AI 自学入行的创业者，讲了他为什么反过来担心 AI 会把门槛重新抬高。和常见的“AI 赋能”叙事正好相反，观点适合自学转行的人和关注行业门槛变化的从业者看看。
作者是一名自学出身的创业者，通过构建 OnTheRice 项目接触 AI，用 AI 完成研究、信息整合和系统搭建，从而进入一个原本只在门外观看的行业。
文章的核心担忧是机会被收回：如果依赖 AI 的这批人尚未建立独立能力，而行业门槛或对人的需求发生变化，他们可能比传统路径的人更早被淘汰。作者认为无论个体如何使用 AI，结构性风险对所有人都在，这也是标题所指的“我们都有麻烦”。
这篇文章以东南亚从业者视角提出 AI 时代技能与准入的公平性问题，对正在通过工具弥补学历和资源差距的开发者有现实参考价值。
It doesn’t matter how we use AI, we are all in trouble
AI helped me enter a world I once watched from the outside. Now I worry about what happens if that world pulls the ladder up. I am self-taught. My rise in AI technology began through my work building OnTheRice. I use AI to help research, connect information and build systems. It has expanded what I […] The post It doesn’t matter how we use AI, we are all in trouble appeared first on e27 .
This report is categorized under AITOP's "Industry" desk, focusing on Southeast Asia and the ASEAN-6 (Singapore, Malaysia, Indonesia, Thailand, Vietnam, Philippines) digital economy. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include OnTheRice, AI技能, 自学开发, 东南亚.
Source attribution: curated from e27 (@Faheem Aizat Kamsan).
