Should my child choose Computer Science in the AI era?

In 2026, this question is no longer only about choosing the “safest” engineering branch. It is about preparing a child for a future where technology keeps changing, AI becomes a daily partner, and lifelong learning matters more than any single degree.

💡 MuktAI Insight

The AI Era Has Changed Career Planning

The future does not belong to one branch. It belongs to students who combine domain knowledge, AI fluency, communication, problem solving, and the habit of continuous learning.

When I Started My Career...

When I completed my Engineering in 1984 and started Santronix Computers in 1986, learning programming was itself a major challenge.

We learned programming languages, operating systems, and software packages through books, training classes, and continuous practice.

If you wanted to build software, Computer Science was naturally the preferred path.

Today, we are living in a completely different world.

AI tools can explain programming concepts, generate code, suggest improvements, and even help build complete applications.

During the last few months, I have personally experienced this while building my own MuktAI platform with ChatGPT and Codex.

While building the MuktAI platform, I experienced this shift personally. I did not have to master every programming framework before creating something useful. ChatGPT helped me think more clearly, and Codex helped me turn ideas into working applications. That experience convinced me that today’s students can learn software faster than my generation did, but their real advantage will come from combining AI with strong domain knowledge.

That experience has changed the way I think about careers.

What Has Changed in the AI Era?

Twenty years ago, software development required years of learning programming languages before you could build useful applications.

Today, AI can assist us in writing code, explaining concepts, debugging programs, and generating complete application structures.

This does not eliminate the need for skilled engineers.

Instead, it changes where human value lies.

The competitive advantage is shifting from remembering syntax to understanding problems, designing solutions, and collaborating effectively with AI.

AI has taught me something unexpected. No matter how much experience we have, there is always something new to learn.

Does That Mean Computer Science Is No Longer Important?

Absolutely not. Computer Science remains an excellent choice for students who genuinely enjoy algorithms, programming, software engineering, computing systems, and the logic behind technology.

But it is no longer the only gateway to technology. If a student’s curiosity is in mechanical systems, electronics, civil infrastructure, commerce, medicine, agriculture, or law, they should not ignore that interest just because Computer Science appears more fashionable today.

The better question is not, “Which branch is safest?” The better question is, “Which field will keep this student curious enough to learn deeply, and how can AI strengthen that journey?”

A motivated Mechanical Engineer, Electronics Engineer, Civil Engineer, Commerce graduate, Doctor, or Lawyer can now learn software development and AI far more easily than before.

AI can write code. Only humans can decide which problems are worth solving.

Then What Should Students Focus On?

This is the advice I now give to students and parents: do not choose a branch only because it is currently fashionable or appears to offer higher salaries.

Choose a field that genuinely interests the student, then build strong domain expertise during the degree.

Then continuously add:

●      AI Skills

●      Programming Skills

●      Digital Skills

●      Communication Skills

This combination will create far more opportunities than depending only on a degree or chasing a short-term trend.

Every domain is being transformed by Artificial Intelligence. The future does not belong to AI alone; it belongs to people who combine professional expertise with intelligent digital tools.

One Important Lesson I Learned

While working with ChatGPT and Codex, I learned one important lesson: AI can help us build faster, but it cannot replace human judgment.

AI can generate code, suggest formulas, and even help build applications. But only humans can understand why those applications matter.

AI cannot replace a deep understanding of how a factory works, how an electronic circuit behaves, how accounting principles function, how a farm operates, or how a hospital serves patients.

That knowledge comes from years of learning and experience. When students combine that knowledge with AI, they become much more valuable.

A Message to Students

If you are a student standing at the crossroads of your career, don't worry too much about finding the "perfect" branch.

Instead, ask three simple questions:

·       What kind of problems do I enjoy solving?

·       Which field excites me enough to study deeply?

·       Am I willing to keep learning throughout my life?

If your answer to the last question is Yes, then your journey has already begun.

Because in the AI era, the most successful professionals will not simply be those who know the most. They will be those who continue learning, adapt to change, and combine their domain knowledge with the intelligent use of AI.

Technology will change. Tools will change. Careers will evolve. But curiosity, adaptability, and the willingness to learn will never go out of fashion.

My dream through MuktAI is to help young minds prepare not just for their first job, but for lifelong learning in the AI era.

Advice to Parents

Please do not choose a career for your children based only on today’s market trends, social media discussions, or the fear of missing out.

Spend time understanding their natural interests, strengths, curiosity, and learning style.

A student who enjoys learning in a chosen field will always have a stronger foundation than someone who follows a popular branch without genuine interest.

🌱 The MuktAI Philosophy

We teach people to:

·       Think clearly

·       Solve real problems

·       Build useful applications

·       Use AI wisely

·       Create value

Final Thought

Do not prepare only for the first job. Prepare for the next forty years of learning. Choose a degree for the domain you love, then build your career by continuously adding AI, communication, and problem-solving skills. Your degree opens the first door. Continuous learning opens every door after that.

— Sanjeev Chaudhary
 MuktAI – Awareness Intelligence

www.sanjeevchaudhary.com

© 2026 Sanjeev Chaudhary | MuktAI | www.muktai.in

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