There has been a growing misconception in recent times that the rise of generative AI and “vibe coding” has somehow made the study of computer science unnecessary. Some people have even started saying that the discipline is no longer relevant because AI can now write code on demand. This belief is not only inaccurate, but it also shows a deep misunderstanding of what computer science actually is and why it remains one of the most important fields of study in our modern world.
COMPUTER SCIENCE IS NOT THE SAME AS CODING
One of the biggest sources of confusion is the idea that computer science is simply a programming field. While programming is a part of computer science, the two are not interchangeable. Computer science is a broad, multifaceted discipline that spans far beyond writing code. It includes areas such as cybersecurity, data mining, data warehousing, networking, systems analysis, problem solving, compliance, and even subjects related to digital business, including social media, e-commerce strategies, and search engine optimisation.
Even within the world of the web, there are clear distinctions. Web design, for example, focuses on user interfaces, user experience, and visual layout rather than coding. Web development, on the other hand, deals with how websites are built and function. These are all part of the larger computer science ecosystem, and none of them can be reduced to “just coding.”
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A FIELD DRIVEN BY INNOVATION
Computer science has always been an innovative field, one that continuously evolves as society and technology advance. Many years ago, cybersecurity did not exist in the form we know today. It emerged because the internet became widely adopted, and with that came cyber threats that needed to be addressed. Entire subfields were created in response to new technological challenges.
This pattern will continue. As artificial intelligence grows, new concerns will arise, especially around ethics, safety, security, and responsible use. These concerns will inevitably lead to the creation of new branches of computer science, just as the rise of the internet led to cybersecurity. The field is by nature dynamic, constantly expanding to meet the needs of the world.
WHY AI DOES NOT REPLACE FOUNDATIONAL KNOWLEDGE
Another misconception is the assumption that because AI can generate code, humans no longer need to learn programming. This is a dangerous oversimplification. AI is only as powerful as the person using it. If you do not understand the concepts behind what you are building, you cannot recognise errors, evaluate the quality of AI-generated code, or ensure that what you are creating is secure, efficient, and aligned with your goals.
People who are successful with generative AI are those who already possess a strong understanding of programming, algorithms, system design, and general computational thinking. Their expertise allows them to use AI as a tool for acceleration, not as a replacement for knowledge. Without foundational skills, “vibe coding” can only take someone so far. It cannot give depth, it cannot teach judgment, and it cannot replace true understanding.
KNOWLEDGE AND AI MUST WORK TOGETHER
AI can make coding faster and more accessible, but it cannot replace the years of experience or the intuition that comes from deeply understanding a field. Someone with knowledge will always be able to use AI more effectively than someone without it. In my own experience, I can accomplish things with AI tools that my students, who are still learning foundational concepts, simply cannot replicate, even when using the exact same prompts. Expertise matters, and it will continue to matter even more as AI becomes integrated into every part of our digital world.
THE COMPUTER SCIENCE DEGREE IS FAR FROM DEAD
The idea that we no longer need computer science because of AI is simply untrue. The field is not only alive, it is also expanding. It remains an innovative, foundational discipline that touches nearly every aspect of our lives and continues to evolve in response to new technologies. Computer science has never been limited to programming, and it certainly will not become irrelevant in an age where technology is moving faster than ever.
Generative AI does not eliminate the need for computer science. If anything, it amplifies the importance of strong foundational knowledge. The people who will lead the future are those who blend understanding with innovation, who pair human expertise with powerful tools, and who recognise that true mastery cannot be outsourced to a machine.
Hi, I’m Dr. Mobolanle Bello, a Computer Science Lecturer with over 15 years of experience in software engineering, web development, data science, database management, ebusiness, research, and education. My expertise includes creating bespoke digital solutions such as e-learning platforms and e-commerce sites, alongside conducting research in AI, machine learning, and network optimisation. I have published my work in respected journals and conferences, contributing to advancements in technology. Outside of academia, I am passionate about using technology to improve lives and am committed to inspiring the next generation of tech professionals through teaching and collaboration.
