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AI Skills Students in Nepal Should Learn Before Tasks Disappear
A practical skill stack for the AI era: fundamentals, tools, communication, and learning loops. Split from Future of Work Ep. 2 with Sanjay Khanal.
By Prerana Shrestha · Career Editor, The StudyPort · · Updated
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Future of Work Ep. 2 with Sanjay Khanal is not only a warning about automation. It is a curriculum hint. If AI is already assisting discovery, planning, development, and reporting inside software companies, students need a skill stack that survives tool churn.
Which AI-era skills should Nepal students learn first?
Learn four layers in order: role fundamentals, clear communication, a weekly learning habit, and hands-on AI tool use on real school or project work. Sanjay’s hiring lens prioritizes fundamentals plus communication and learning attitude, because hard-skill tasks keep getting delegated to AI over time.
The four-layer stack
| Layer | What to practice | Why it survives AI |
|---|---|---|
| Fundamentals | Math/logic, domain basics for your field | You can evaluate tool output |
| Communication | Writing briefs, asking better questions | AI needs precise direction |
| Learning loop | Weekly “what did I learn?” review | Tools change; habit does not |
| AI operatorship | Drafting, summarizing, coding assistants, research aids | You ship faster without going blind |
Sanjay describes AI showing up in almost every phase of client work at a software services company. The students who win are not the ones who avoid AI. They are the ones who can still explain requirements, check quality, and learn the next tool without drama.
A 30-day practice plan
- Days 1–7: Pick one real assignment (essay, code lab, event plan). Do it once without AI, once with AI, then compare quality.
- Days 8–14: Practice writing better prompts as briefs: goal, audience, constraints, examples.
- Days 15–21: Learn one workflow end-to-end (research → outline → draft → critique).
- Days 22–30: Teach a classmate the workflow. Teaching exposes gaps faster than solo practice.
He also notes that some college-taught skills can be less relevant in Nepal’s market than abroad. That is another reason to explore early: match skills to the jobs and cities you actually want, not only to a syllabus.
Frequently asked questions
Should I learn to code if AI can generate code?
If you want an IT path, yes enough to read, debug, and design. Generated code that “works” can still be insecure or unmaintainable. Fundamentals let you review.
What if my college will not teach AI?
Start yourself. Sanjay’s stance is that students must explore from day one, while colleges should facilitate internships and opportunities when students ask. Waiting for curriculum updates is a losing strategy.
Are soft skills really technical career skills now?
In his framing, yes. As more execution is automated, communication becomes the scarce coordination layer inside teams that move faster with fewer people.
Turn practice into a course path
For a guided 8-week path built for +2 graduates, explore AI Power User: 0 → 1.
Next step
See AI Power User: 0 → 1