AI Is Writing the Code, Engineers Still Need the Maths
AI Can Generate Code, But Strong Engineers Still Need Mathematical Thinking
What happened
A Times of India article titled 'AI is writing the code, engineers still need the math' highlighted that although AI tools can now generate code, engineers still need strong mathematical and conceptual foundations. The article used examples such as AI-generated image watermarking, where writing code alone is not enough. Engineers need to understand deeper concepts such as Fourier transforms, signal processing, algorithms and mathematical reasoning to solve complex technology problems.
Why it matters
Many students now believe that if AI can write code, coding alone may be enough. This article challenges that idea. AI can assist with coding, but it cannot replace the need to understand logic, mathematics, algorithms, data processing and technology principles. For students interested in engineering, computer science, artificial intelligence, data science, cybersecurity, robotics, electronics, computer vision and software development, mathematical thinking remains a core foundation.
Thinking of Engineering, AI, Coding or Data Science? CMH can help students understand whether their aptitude, maths comfort and interest match future technology careers.
Source status: Reputable news and career-technology feature source
Who should pay attention
Class 9 and 10 students deciding whether to continue with Mathematics, Class 11 and 12 Science students considering Engineering, Computer Science, AI or Data Science, UG students in B.Tech, B.Sc. CS, BCA, IT or Data Science, and parents who think coding alone is enough for technology careers.
Key skills
- Mathematics
- Logic
- Problem-solving
- Algorithmic thinking
- Data interpretation
- Abstract reasoning
- Technology fundamentals
- Conceptual clarity
Student actions
- Do not depend only on AI tools to write code.
- Learn the logic behind the code.
- Strengthen maths, reasoning and problem-solving if you want a technology career.
- Connect maths topics with real-world technology examples.
- Check whether you genuinely enjoy logic, analysis and technical problem-solving before choosing engineering or AI-related careers.
Parent actions
- Do not tell children that maths is unnecessary because AI can code.
- Check whether your child is comfortable with maths, logic and problem-solving.
- Avoid pushing AI or engineering careers only because they are trending.
- Support foundation-building before advanced tools or coding shortcuts.
- Discuss whether the child’s aptitude matches a technology-heavy career path.
CMH guidance
CMH can position this as a career-readiness story. Students should not choose engineering, AI, coding or data science only because these careers are trending. They need to check whether their aptitude, maths comfort, interest and problem-solving ability match these pathways.
Source
Times of India article under AI Career Edge / Times Techies
Status: Reputable news and career-technology feature source