AI and your next move · 7 min read
Should my teenager learn to code now that AI can write code?
Coding still builds useful thinking, but it is no longer a guaranteed career ticket. A four-week project test helps a teen find out whether it suits them.
The short answer
Learning to code is still worthwhile for many teenagers, because it teaches logical thinking, breaking problems down and understanding how software works, all of which help in an AI-shaped world. What has changed is that coding alone is less of a guaranteed career route, as AI tools now write routine code. Encourage your teen to try a small project they care about, see whether they enjoy the problem-solving, and combine coding with another interest.
On this page 7 sections
What coding teaches beyond jobs
Writing even simple programs teaches habits that transfer: breaking a big problem into small steps, being precise, testing an idea and fixing what breaks. These are useful for working with AI tools too, which need clear instructions and careful checking.
What has changed
AI tools now produce working code for many routine tasks. Researchers at Stanford's Digital Economy Lab reported weaker employment trends for young workers in highly AI-exposed occupations, including some software roles, while stressing their findings are early and not proof of cause. For a teenager, the takeaway is not to avoid coding but not to treat it as an automatic ticket.
A four-week test for your teen
- Week 1: they choose something they care about to build: a quiz about their favourite game, a tracker for their sports stats, a simple website for a club.
- Week 2: they build the smallest working version, with a free beginner course or tutorial alongside.
- Week 3: they show it to a friend, collect one piece of feedback and improve it.
- Week 4: they write or tell you what part they enjoyed most and what was frustrating.
If they could not stop tinkering, that is a strong signal. If they enjoyed designing what it should do but not the code itself, design, product or game design may suit them better. If they disliked the whole thing, that is useful to know at fifteen rather than after a degree.
Combine coding with another interest
Coding plus biology, music, sport, art or environmental science is more distinctive than coding alone, and more resilient to change. Encourage your teen to use code as a tool inside a subject they love.
Project ideas by interest
| If they like... | A first project |
|---|---|
| Sport | A tracker that records results and shows a simple chart |
| Music | A web page that plays notes from keyboard presses |
| Games | A text adventure or a simple maze game |
| Art | A program that draws patterns from random numbers |
| Science | A calculator for something from class, such as speed or density |
| Helping others | A page listing local volunteer opportunities |
Projects tied to an existing interest are far more likely to be finished, and finishing small things is the habit that matters most.
How to talk about AI coding tools
Teens will encounter AI tools that write code. A useful family rule: use AI to explain an error or suggest an approach, but be able to explain every line in the final project. Understanding the code is the skill; producing it is increasingly cheap.
Questions people ask
- Is coding still a good career for young people?
- Software work continues, but entry-level roles are changing as AI tools write routine code. Strong problem-solving, understanding of systems and domain knowledge matter more. It remains a good option for teens who enjoy it.
- What programming language should a teenager learn first?
- Python is a common first language because it is readable and widely used. For younger teens, block-based tools like Scratch are a gentle start. The project matters more than the language.
- Should my teen use AI to help them code?
- Using AI as a tutor can help, but they should also write and debug code themselves to build understanding. Encourage them to explain the code AI produces.
- My teen isn't interested in coding. Is that a problem?
- No. Many future-facing careers are not coding jobs. Help them explore what does interest them, and add data or digital skills to that.
Exercises are practice, not evidence of career fit or a qualification. How to read our guides and report a correction.
Sources
- Canaries in the Coal Mine? Six Facts, revised August 2026 · Stanford Digital Economy Lab
- Future of Jobs Report 2025: digest · World Economic Forum
How this page is written
Sources support the factual background, not a guarantee that an exercise predicts career fit. Fictional practice material is labelled. Dates record content updates; no independent expert review is implied. More about OffLadder.