视频简介
很多人现在问我：“我已经有 Python、SQL 基础了，但没什么项目经验，能不能先去找工作？” 我说句不太好听但非常现实的话：只会 Python + SQL，不止澳洲找不到工作，连马来西亚、新加坡、中国都很难达到基本门槛。 为什么？因为企业要的不是“会写几行脚本的人”，而是能把需求变成可上线系统的人。你至少得具备 API、框架、前端基础、后端开发、数据库、认证、安全、测试、容器化、部署等工程能力。否则你的技能无法商业化，公司也不可能只靠 Python/SQL 就做一个真实产品。 更残酷的是：2026 年行业会迎来更大规模的优化与裁员，很多岗位不是“卷”，而是直接减少。你会看到：DS、UIUX、纯前端、纯后端、纯 BA（只写需求文档）这种岗位，正在被 AI 和组织结构变化一起“清场”。 这期视频我会讲清楚两个重点： 第一，未来行业真正还在增长的方向，基本只剩 AI Engineer、AI Product Manager、AI Builder（会 AI Coding 的产品/交付型人才）、以及 IT Sales。 第二，找工作其实只有两条路：投简历和 Networking。投简历是 6 秒钟定生死，而 Networking 更像相亲找媒婆——信息更真实、信任更强、成功率更高。 如果你正在迷茫、转行、或者觉得自己“学了一点但怎么都投不进”，这期内容会帮你彻底搞清楚：你不是不努力，你是还没拿到上桌的门槛。 Many people ask me the same question: “I have some Python and SQL basics, but I don’t have real project experience yet. Can I start applying for jobs?” Here’s the honest answer: Python + SQL alone is not enough — not only in Australia, but also in Singapore, Malaysia, and even China. Companies are not hiring “someone who can write scripts.” They hire people who can turn requirements into real, production-ready systems. In this episode, I explain why your skills must be commercializable. That means you need to understand at least the fundamentals of real software engineering: APIs, backend frameworks, frontend basics, authentication, security, databases, testing, containerization, deployment, and engineering principles. Without that, you’re simply not reaching the minimum hiring bar — and your resume will likely never make it past the first screening stage. But the bigger issue is what’s coming next: 2026 will bring even more restructuring and layoffs across the industry. Many roles are not just “competitive” — they are shrinking or disappearing due to AI tooling and team restructuring. I also break down which roles are effectively “dead” in the current market, including traditional Data Science degrees, UI/UX, pure frontend-only or backend-only junior roles, and BA roles that only write PRDs. I also make a clear point: AI is not creating endless new jobs. Instead, it’s reducing labor demand — but a few roles are still growing. Based on what I’m seeing, the most realistic growth paths are: AI Engineer, AI Product Manager, AI Builder (a product + engineering hybrid who can deliver with AI coding), and IT Sales. Finally, I explain the two real ways people get hired: applying through resumes (where you get judged in seconds), and networking — which works like getting introduced through a trusted “matchmaker,” creating faster trust and much higher success rates. If you’re feeling stuck, switching careers, or wondering why you’re not even landing interviews, this video will give you the reality check — and the roadmap — you need.
