If AI writes code, why spend months learning? It's a logical question — and the answer isn't black and white. Part of the work really is disappearing. But history shows a familiar pattern: tools that make work easier usually increase demand for the people who master those tools.
What is actually changing
AI handles the mechanical part brilliantly: boilerplate, simple fixes, prototypes. So demand is falling for "pure code typists" — people whose only skill was translating a finished spec into code.
Meanwhile demand grows for people who understand WHAT to build and WHY: who can decompose a problem, evaluate AI-generated code, spot security holes and connect technology to a business need.
Why fundamentals become more valuable, not less
The paradox: the more code AI generates, the more valuable the human who can read and judge it. Without fundamentals you can't tell a working solution from a time bomb — and companies know it. "AI supervisor without understanding" is not a profession.
The new beginner's advantage
People starting now have something no generation before them had: a personal mentor 24/7. AI explains any error, adapts examples to your level and lets you learn by building — faster than ever. Ironically, AI is exactly what makes learning to code easier, not pointless.
The short answer
Yes, it's worth it — but the goal has changed. Don't learn to compete with AI at typing code; learn to solve problems using AI as a tool. That combination is what the job market pays for today, and will still pay for in five years.