How AI Changes Tech Jobs
AI 如何改變科技工作
Introduction
AI is changing how companies find workers and how people work in technology.
AI 正在改變公司招募員工的方式以及人們在科技領域工作的方式。
Main Body
Some AI companies do not look at school degrees now. They give workers a short test for a few days. They want to see if the person can use AI tools well to do the work.
現在有些 AI 公司不再看學位。他們會讓員工進行為期幾天的短期測試。他們想看看該人員是否能熟練地使用 AI 工具來完成工作。
In the USA, some people lost their jobs because of AI. AI can now do simple coding. But companies still need smart people to design big systems and fix hard problems.
在美國，有些人因為 AI 而失業。AI 現在可以進行簡單的編碼。但公司仍然需要優秀的人才來設計大型系統並解決困難的問題。
India and Microsoft have different plans. Microsoft uses many different AI models from different countries. India should make small, cheap AI models for its own needs.
印度與微軟有不同的計劃。微軟使用了許多來自不同國家的 AI 模型。印度則應該根據自身需求，開發小型且廉價的 AI 模型。
Conclusion
Workers must learn to use AI. Companies now want special skills instead of general knowledge.
工作者必須學會使用 AI。公司現在需要的是專業技能而非通用知識。
Vocabulary Learning
🛠️ Skill-Building: "Can" and "Must"
In this text, we see two powerful words that tell us about ability and necessity.
1. CAN (Ability/Possibility)
- AI can now do simple coding.
- ...if the person can use AI tools well.
Rule: Use can to show what someone or something is able to do. It is very simple:
Subject → can → action.
2. MUST (Necessity/Requirement)
- Workers must learn to use AI.
Rule: Use must when there is no other choice. It is a strong requirement.
Subject → must → action.
Quick Comparison Table
| Word | Meaning | Example from Text |
|---|---|---|
| Can | Is able to | AI can do coding |
| Must | Needs to | Workers must learn |
💡 Pro Tip: Notice that we don't add "to" after these words. We don't say "can to do" or "must to learn." Just use the action word directly!