Is learning to code still worthwhile with AI advancing so quickly?

At your age, you have plenty of time to adapt as the technology changes. Build small projects without AI first—games, websites, tools, or anything you genuinely find interesting. When you get stuck, try debugging and researching on your own before asking AI for help. If you do use it, ask for explanations and hints rather than blindly copying the answer. The logical thinking and problem-solving you develop will be useful even if the tools and job titles change.

Don’t choose programming only because it pays well. Software development can be demanding, and enjoying the problem-solving and building side is what tends to keep people motivated. AI will probably change the job and make some tasks faster, but people who understand systems, requirements, testing, security, and the real-world consequences of technical decisions will remain valuable.

It’s still worth learning, but focus on becoming a programmer rather than just someone who types code. Start without AI so you understand fundamentals, debugging, algorithms, and how to solve problems yourself. Once you’re confident, use AI as a tool to speed things up—but always review its output and understand why it works. AI can produce convincing nonsense, and you’re still responsible for the code you submit.

The job market may become more competitive, especially for basic entry-level work, so it’s sensible to develop more than one narrow skill. Consider combining programming with areas such as hardware, networking, cybersecurity, data, or a particular scientific or business domain. AI is much less capable of independently handling physical testing, regulations, security constraints, and messy real-world requirements.