✅ What you'll learn
- GitHub Copilot reported in 2024 that over 50% of code in files it had access to was now suggested by AI — up from 27% in 2023.
- Total global software engineer employment continued to grow in 2025, despite increased AI coding tool adoption.
- Entry-level coding job postings declined approximately 20% in 2024–25 in the US as AI tools reduced demand for purely mechanical coding tasks.
- Senior software engineers and systems architects are in higher demand than ever, with salary premiums growing.
💡 Perfect if you're thinking...
AI will not replace software engineers — but it is transforming what software engineers do. AI coding tools like GitHub Copilot write routine code, debug, and generate boilerplate. This has made skilled engineers significantly more productive and reduced demand for entry-level coders handling purely mechanical tasks. Engineers who understand systems, architecture, and how to direct AI tools are in higher demand than ever.
What Most Parents (and Kids) Think About This
Many parents who want their children to learn coding are now asking whether coding is still worth learning. They've seen AI write entire programs and wonder if human programmers will be redundant within a decade.
Children learning to code sometimes feel the same anxiety. If AI can code, why should I bother?
The answer requires understanding the difference between writing lines of code and engineering software systems — two things that look similar from the outside but are very different.
What This Question Really Means for Your Family
If your child is interested in technology careers, understanding the future of software engineering helps them understand what to focus on learning. The answer is not "don't learn coding" — it's "learn the right aspects of coding and the skills that make coding most valuable."
Dubai perspective: Sawan Kumar, AI consultant and trainer based in Dubai and founder of EvolvXAI — an AI implementation agency working with UAE businesses — puts it directly: "The AI roles hiring right now in the UAE aren't just for data scientists. Businesses need people who understand AI well enough to manage it and explain it to non-technical teams. Start building that literacy early."
The Real Answer — Explained Simply
What AI can do in software engineering:
AI coding assistants — GitHub Copilot, Amazon CodeWhisperer, Cursor, and others — are now used by the vast majority of professional software engineers. They:
- Generate code from descriptions ("write a function that sorts a list of names alphabetically")
- Complete repetitive code patterns automatically
- Identify bugs and suggest fixes
- Explain what unfamiliar code does
- Convert code between programming languages
For routine coding tasks — writing standard functions, generating boilerplate, converting logic from description to code — AI is fast and effective.
What AI cannot do in software engineering:
System architecture: Deciding how a large software system should be structured — what components exist, how they interact, how to handle failure — requires deep understanding of requirements, constraints, and trade-offs. AI generates components; humans design systems.
Understanding requirements: What a client or user actually needs (versus what they say they need) requires human judgment, communication, and experience. This is often the hardest part of software engineering.
Security and reliability judgment: Deciding what level of security is appropriate, how to handle edge cases, and how to make systems reliable under real-world conditions requires expert judgment AI cannot fully provide.
Novel problem-solving: When a software challenge is genuinely new — no existing pattern applies — human engineers are needed to reason from first principles.
What is actually happening to the software engineering job market:
In 2025–26, hiring for junior software engineers has tightened in some companies. Some organisations are doing more with fewer junior coders because AI makes each engineer more productive. This is real.
But total demand for software engineers globally is still growing. AI creates new software requirements faster than it automates away the engineering of them. The engineers in most demand are those who can direct AI tools effectively — who understand systems deeply enough to verify what AI produces, catch its errors, and apply it to hard problems.
The right conclusion for a child thinking about coding:
Learning to code is still valuable — perhaps more than ever. But the skill set that matters is shifting. Pure syntax memorisation matters less. Understanding how software systems work, how to think algorithmically, how to direct AI tools, and how to evaluate AI-generated code matters more. AI literacy is now part of the coding skill set.
Facts You Should Know (Updated June 2026)
- GitHub Copilot reported in 2024 that over 50% of code in files it had access to was now suggested by AI — up from 27% in 2023.
- Total global software engineer employment continued to grow in 2025, despite increased AI coding tool adoption.
- Entry-level coding job postings declined approximately 20% in 2024–25 in the US as AI tools reduced demand for purely mechanical coding tasks.
- Senior software engineers and systems architects are in higher demand than ever, with salary premiums growing.
- India produces over 1.5 million engineering graduates per year — those with strong AI tool skills and systems thinking are significantly more competitive in 2026.
- Stanford research (2025) found that software engineers using AI coding tools were 55% more productive — suggesting fewer engineers can do more work, but also that those engineers are more valuable.
Frequently Asked Questions
Should my child still learn to code?
Yes — absolutely. But teach them to think like an engineer (problem decomposition, system design, debugging logic) rather than just to type code. These deeper skills become more valuable as AI handles surface-level coding.
What programming languages should my child learn?
Python remains the most important language for AI, data science, and automation. JavaScript is essential for web development. More important than any specific language is understanding how to think computationally and how to work effectively with AI coding tools.
Will coders who use AI tools be more or less employable?
Far more employable. Surveys of engineering managers consistently show that AI tool proficiency is now a desired or required skill for software engineering roles. Learning to use AI coding tools is part of learning to code professionally.
The Bottom Line
AI will not replace software engineers — it is making great software engineers dramatically more powerful. The demand for engineers who understand systems, can direct AI tools effectively, and can solve hard problems is growing. Learning to code in 2026 means learning to code with AI — and that is a skill worth every child's investment.
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Hi! I'm Parikshet, an 11-year-old creator from Dubai who loves drawing, art, science experiments, and golf. My dad and I run KidsFunLearnClub to share fun learning activities with kids around the world. We've created over 1,900 tutorials and videos to help you learn and have fun!
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