AI will increasingly handle routine writing, coding, research, design, analysis and administration. Humans will still be valuable for judgement, relationships, physical-world execution, leadership, creativity, trust and responsibility.
1. The skills that matter across all ages
I would build around 7 skillsets:
| Skill | Why it matters in an AI world | Priority |
|---|---|---|
| 🧠 Critical thinking | AI can confidently give wrong answers | ⭐⭐⭐⭐⭐ |
| 🤖 AI literacy | Know how to use AI as a multiplier | ⭐⭐⭐⭐⭐ |
| 🗣️ Communication | Persuasion, explaining and influencing remain human-heavy | ⭐⭐⭐⭐⭐ |
| 🤝 Human relationships | Trust, empathy, teamwork and leadership are difficult to automate | ⭐⭐⭐⭐⭐ |
| 🔧 Real-world skills | AI cannot physically repair, care for, build or operate everything | ⭐⭐⭐⭐ |
| 💰 Financial literacy | AI disruption will make career/income changes more frequent | ⭐⭐⭐⭐⭐ |
| 📚 Learning how to learn | Your current skills may become obsolete | ⭐⭐⭐⭐⭐ |
The key is not to become an AI engineer unless the person genuinely enjoys it.
2. For a CHILD: 7–12 years old
For children, I would not make AI the main subject.
The objective should be to build a strong foundation that AI cannot easily replace.
Priority 1 — English + communication
A child who can communicate clearly has a major advantage.
Practise:
- reading
- storytelling
- vocabulary
- writing
- speaking
- presentation
- explaining ideas
For a Singapore child, I would also maintain strong mathematics.
Priority 2 — Mathematics + logical thinking
Don't just teach them how to get answers.
Teach:
“Why is this answer correct?”
Good activities:
- puzzles
- chess
- mental arithmetic
- coding games
- strategy games
- science experiments
- problem-solving challenges
Priority 3 — Curiosity
This may become one of the most valuable skills.
Instead of:
“What's the answer?”
encourage:
“Why?”
“How do we know?”
“What if we change this?”
“Can you prove it?”
AI makes answers cheap.
Good questions become expensive.
Priority 4 — Basic AI literacy
A primary-school child doesn't need Python or machine learning.
Teach:
- what AI is
- what generative AI does
- how to ask good questions
- AI can make mistakes
- don't blindly trust AI
- don't share personal information
- verify important information
For example, give the child an AI-generated answer and ask:
“Can you find 3 things that might be wrong?”
That's much more valuable than simply learning prompting.
Priority 5 — Social skills
Encourage:
- team sports
- group projects
- speaking
- leadership
- helping others
- negotiation
- making friends
These are AI-resistant skills.
Priority 6 — One creative skill
Choose one:
- music
- drawing
- photography
- video
- storytelling
- theatre
- design
- cooking
- craft
Don't worry about whether AI can generate pictures or music.
The child needs to learn creative thinking, not merely production.
3. For a TEENAGER / YOUNG ADULT: 13–25
This is where I would change strategy.
The goal becomes:
Become someone who can use AI to produce 5–10× more than someone who cannot.
The "AI + X" model
Don't learn AI in isolation.
Choose:
AI + domain expertise
Examples:
| Combination | Potential direction |
|---|---|
| AI + Finance | Fintech, investment analysis |
| AI + Engineering | Engineering automation |
| AI + Medicine | Healthcare technology |
| AI + Law | Legal technology |
| AI + Marketing | AI marketing |
| AI + Design | Product/design |
| AI + Biology | Biotech |
| AI + Education | EdTech |
| AI + Cybersecurity | Security |
| AI + Robotics | Physical automation |
| AI + Business | Entrepreneurship |
This is much more powerful than simply saying:
“I know ChatGPT.”
The 5 skills I'd prioritise for a young adult
1. AI productivity
Learn to use:
- ChatGPT
- Gemini
- Claude
- AI search/research tools
- image generation
- AI coding assistants
- automation tools
- spreadsheets + AI
- document analysis
But don't stop at prompting.
Learn:
AI → verify → improve → execute
2. Coding / computational thinking
I would still recommend that young people learn some coding, even if they don't become programmers.
Not because everyone needs to become a software engineer.
Because coding teaches:
- logic
- automation
- systems thinking
- problem decomposition
- understanding technology
A young adult should ideally be able to build a simple:
- website
- database
- automation
- AI application
- data analysis
- chatbot
That changes their relationship with technology.
3. Data literacy
Learn:
- Excel/Google Sheets
- statistics
- charts
- databases
- basic SQL
- data visualisation
- interpreting numbers
AI can analyse data.
But someone still has to determine:
“Is this analysis actually meaningful?”
4. Communication + persuasion
This becomes more important, not less.
Learn:
- presentation
- negotiation
- writing
- sales
- public speaking
- storytelling
- leadership
Someone who can combine:
AI + technical ability + communication
will be extremely useful.
5. Build something
This is probably the most important advice for teenagers.
Don't spend 5 years collecting certificates.
Build things.
For example:
Age 15
Create a simple website.
Age 16
Build an AI study assistant.
Age 17
Start a YouTube channel.
Age 18
Build an online business.
Age 20
Create an AI-powered service.
By 25, they could have a portfolio of real work, rather than only qualifications.
4. For an OLDER ADULT: 40–60+
The strategy is completely different.
You don't need to compete with a 22-year-old AI engineer.
Your advantage is:
Experience + judgement + relationships + AI
That's a powerful combination.
The wrong strategy
An experienced professional thinks:
“I need to learn Python, machine learning, cloud computing and become an AI engineer.”
Probably unnecessary.
The better strategy
Ask:
“How can AI make my existing expertise 3× more productive?”
For example:
An experienced project manager can use AI to:
- prepare meeting minutes
- create project reports
- analyse risks
- create schedules
- draft presentations
- analyse requirements
- compare proposals
- prepare management briefings
- automate repetitive reports
The person still provides:
judgement + experience + accountability.
AI provides:
speed + analysis + drafting.
5. Older adults should develop an "AI operating system"
I'd teach them roughly this workflow:
Step 1 — Ask
Give AI the problem.
Step 2 — Analyse
Ask AI for several possible approaches.
Step 3 — Challenge
Ask:
"What could be wrong with this?"
Step 4 — Verify
Check important facts against reliable sources.
Step 5 — Decide
Human makes the final decision.
Step 6 — Execute
Use AI to help produce the result.
That is far safer than:
Ask AI → copy → paste.
6. The most underrated skill: SALES
I would put sales and persuasion much higher than many people expect.
Why?
Because AI can create:
- reports
- websites
- advertisements
- presentations
- emails
- videos
- code
But someone still needs to:
convince another human being to buy, trust, hire or support something.
Therefore:
AI + Sales = extremely powerful.
A technically average person who can sell can outperform a technically excellent person who cannot communicate.
7. Physical-world skills will become more valuable
This is another area parents should not overlook.
AI is primarily digital.
The physical world remains difficult.
Potentially valuable areas include:
- healthcare
- nursing
- physiotherapy
- elderly care
- skilled trades
- electrical work
- mechanical work
- construction
- robotics maintenance
- laboratory work
- manufacturing
- food production
- logistics
- emergency services
The future isn't simply:
AI vs humans.
It is increasingly:
AI + humans + machines operating in the physical world.
8. Financial literacy becomes essential
This applies particularly to young adults.
AI may cause careers to become less linear.
Someone might have:
Job → freelance → business → job → AI business → portfolio career
rather than:
University → company → promotion → retirement.
Therefore learn:
- budgeting
- investing
- taxes
- CPF
- insurance
- emergency funds
- debt management
- compound interest
- diversification
- evaluating investments
- entrepreneurship
A person who earns $100,000 but cannot manage money can still struggle.
9. What I would teach at each age
👧 Child: 7–12
Foundation
- Reading
- Mathematics
- Curiosity
- Communication
- Creativity
- Teamwork
- Basic AI literacy
- Physical fitness
Don't overload them with AI courses.
🧑 Teenager: 13–18
Exploration
- AI tools
- Coding
- Data
- Writing
- Public speaking
- Creativity
- Financial literacy
- Entrepreneurship
- One serious hobby
- Real-world projects
The objective:
Discover what they're unusually good at.
👨 Young adult: 18–30
Specialisation
Choose:
Domain expertise + AI + communication + business
For example:
Engineering + AI + project management + sales
or
Finance + AI + data + communication
or
Healthcare + AI + management
👨💼 Mid-career: 30–50
Augmentation
Don't throw away accumulated experience.
Instead:
Experience × AI
Learn how to automate 20–30% of your current job.
Then use the saved time for:
- higher-value work
- leadership
- consulting
- business
- investing
- networking
👴 50–65+
Leverage
The goal becomes:
Turn experience into income, influence and flexibility.
Possible directions:
- consulting
- mentoring
- training
- advisory work
- specialised services
- content creation
- small business
- board/advisory positions
- AI-assisted freelance work
10. The ultimate skill stack
If I had to reduce everything to 10 skills for the AI era, I'd choose:
🥇 Critical thinking
🥈 AI literacy
🥉 Communication
4. Learning ability
5. Domain expertise
6. Data literacy
7. Sales & negotiation
8. Creativity
9. Leadership & teamwork
10. Financial literacy
And I'd add one more:
Physical and mental resilience
Because technology changes quickly.
The person who can continuously learn, adapt and stay healthy has a huge advantage.
11. A simple formula for the next 20 years
I would teach a child this formula:
Human strengths + AI + domain expertise + real-world experience
Not:
❌ Human vs AI
but:
✅ Human using AI vs human not using AI
And eventually the competitive advantage will move again toward:
Human judgement + trust + relationships + ownership + physical execution.
That is why I would not raise a child simply to get good grades and learn AI tools.
I'd raise them to be someone who can:
think → learn → communicate → build → persuade → adapt.
Those capabilities should remain useful regardless of whether the next major technology is generative AI, robotics, AGI or something we haven't invented yet.
