Why Coding Remains Relevant Even as AI Becomes More Dominant in 2025

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For most people, the phrase ‘kids must learn coding’ sounds like an absolute truth. But is learning coding still relevant in the face of the AI boom of 2025?

Almost every parent, teacher, and even government encourages the younger generation to master computer science. Coding has long been considered the ‘language of the future,’ opening doors to a bright career.

However, as we step into 2025, a big question arises: is coding still relevant when artificial intelligence (AI) can write code faster, cheaper, and better than humans?

In this article, we will explore whether learning coding is still necessary in the AI era of 2025 and uncover the major opportunities this new era brings.

Looking back, around 2019, learning coding was indeed a shortcut to a promising future. A college student who mastered Python or Java, built a few small projects, could easily land a six-figure job offer right after graduation.

At that time, many companies opened their doors wide, offering plenty of internships, with relatively low entry standards.

But today, the situation has reversed. AI doesn’t just assist programmers it replaces much of their work. The question is, is this really the case?

For example, UPS once announced the layoff of 12,000 employees as they began testing AI-driven systems.

Tech giants, from Google to Meta, have done the same on a scale of tens of thousands of workers. For most employees, this is no longer just an ‘economic adjustment,’ but a structural transformation caused by AI.

Salesforce CEO Marc Benioff even openly stated that his company no longer needs to hire as many software engineers because their productivity has already increased by 30% thanks to the AI tool AgentForce.

On the other hand, Mark Zuckerberg emphasized that by 2025, Meta will have AI capable of performing at the level of a mid-level engineer.

What does this mean? It means that in the future, most of Meta’s application code will be written by AI engineers, not humans.

What needs to be emphasized is that this isn’t beginner-level AI that can only write simple code. Today’s AI can match the skills of someone with 2–4 years of experience at a major tech company. Even more astonishing, AI can now write code to build other AIs.

A real-life example comes from a startup founder who shared his experience. Initially, he had a small team of engineers, but after trying AI tools like Cursor, their productivity increased tenfold.

The result? He kept only one engineer and let the rest go. Front-end development that once took days can now be completed in just hours simply by uploading a design and letting the AI transform it into ready-to-use code.

For business owners, this is a rational choice. Why spend tens of thousands of dollars per month on a large team if AI can handle 80% of the work at a fraction of the cost?

This phenomenon isn’t just a startup trend. Global tech giants are also embracing it. Google reported that 25% of their code is now written by AI. They use tools like Koda from Gemini AI to automate refactoring and accelerate feature development.

GitHub, through Copilot, allows anyone to write instructions in plain language—and then AI generates the code. GitHub’s COO even described this as a “natural language revolution for coding”

Amazon isn’t falling behind either. With CodeWhisperer, AWS developers can get code suggestions, API recommendations, and best practices with just a single click.

In other words, even the very companies that used to be the largest employers of programmers are now relying more on AI to get the work done.

Given all these facts, it’s natural to feel pessimistic. Does this mean that learning coding is now useless? The answer is: it’s still worth it but with an important caveat.

History shows that every new technology has always shaken the job market. Calculators were once feared because people thought they would eliminate the need for basic math. In reality, they enabled humans to solve more complex problems.

The internet was also initially seen as a threat, but ultimately it gave birth to entirely new professions such as web developers, e-commerce specialists, digital marketers, and content creators.

The pattern is always the same: low-skill jobs disappear, but high-skill jobs emerge and grow.

In today’s digital era, being able to write simple code is no longer a valuable skill. Even a 5-year-old can generate code with the help of AI.

What’s needed now is the ability to use coding together with AI. This means not just knowing Python or JavaScript syntax, but mastering broader skills, such as :

1. Build a Strong Foundation – Learn the basics of coding, not to become a “manual code writer,” but to understand what the AI is doing.
2. Integration with AI – Learn to use tools like Copilot, Cursor, or GPT to accelerate your workflow and system development.
3. Understand Advanced Concepts – Since AI isn’t perfect, you need to recognize its limitations and potential errors so you can correct its output.
4. Hands-On Projects – Apply coding to real-world cases, such as building apps with TensorFlow, training models with PyTorch, or experimenting on Hugging Face.
5. Keep Learning – The AI world moves quickly. From generative AI and machine learning to quantum computing, continuous learning is essential to stay relevant.

By following these steps, coding remains relevant not as a “job of typing code,” but as a strategic skill to lead AI, collaborate with AI, and avoid being replaced by it.

The fact is, AI will continue to evolve. It will get cheaper, faster, and smarter. While many old jobs may disappear, new opportunities will open up.

Those who cling to outdated ways will be left behind. But those who are willing to adapt by blending coding skills with AI will become pioneers in new industries.

So, is it still worth learning coding in 2025? The answer is: absolutely, one hundred percent yes. However, don’t learn coding just to become a “manual code writer.” Learn coding so that you can speak the language of AI, control it, and create solutions far greater than just lines of code.

That concludes the article Why Coding Remains Relevant Even as AI Becomes More Dominant in 2025, shared by Mangcoding. Hopefully, this article has been useful and provided you with fresh insights. If you have constructive feedback or suggestions, feel free to leave a comment or reach out via Mangcoding’s email and social media channels.