Should Software Engineers Be Concerned About AI?

By C. Clark

Introduction

I remember taking a computer science class during my undergraduate years and overhearing a discussion among my classmates about Machine Learning and Artificial Intelligence. Some insisted that AI would never happen, while others believed it was possible. This was back in 1991. They had just left their AI class and were excited to discuss what they’d learned. As a Mathematics major, I didn’t get to take all the same computer science courses, but that conversation stayed with me.

Today, AI is everywhere. There are countless articles speculating about AI taking over people’s jobs. In recent years, there have been hints that AI could replace Software Developer roles — just hints at first. But now, the concern seems much more real. So, just like those classmates who dismissed AI back then, should today’s Software Developers be worried about AI taking over their jobs?

What is Generative AI?

Generative AI refers to a category of AI models that can generate new content — such as text, images, music, and code — based on the data they've been trained on. Unlike traditional AI, which primarily analyzes and interprets existing data, generative AI creates novel outputs that didn’t previously exist. It uses deep learning to identify patterns in large datasets and produce original content.

Will Generative AI Replace Software Developers?

According to ScholarHat, the answer is No — and here’s why:

• AI Needs Instructions: Generative AI tools still require human input. Developers must write clear prompts to guide the AI in what code to produce.

• Complex Projects Require Humans: AI can build simple applications, like a basic search engine, but it can’t replicate something as complex as Google. Large-scale software projects require strategic planning, architecture, and collaboration.

• Error-Prone Output: AI often generates flawed or buggy code. Human oversight is necessary to debug, test, and ensure high-quality results.

• Limited Understanding of Context: These tools struggle with abstract thinking, context, and nuanced human requirements. They lack true comprehension.

• No Moral Compass: Generative AI doesn’t make moral or ethical judgments. It doesn’t consider how software impacts society — a responsibility that falls squarely on human developers.

So, while AI may boost productivity by automating some tasks, it cannot replace the creativity, analytical thinking, and judgment of a human Software Engineer. Instead, the role may evolve to focus more on these human-centered strengths.

The Future of Software Development

Software Developers aren’t strangers to change. We’ve always adapted to new technologies and techniques — it's part of the job. Staying flexible, curious, and up-to-date has always been essential, and that won’t change.

I like to think of AI as a tool, like Griot in the movie Black Panther — powerful and efficient, but still guided by human creativity and wisdom. AI can code quickly, yes, but only we can ask the right questions, solve ambiguous problems, and pivot when facing unexpected challenges.

In Conclusion

The IT field has always evolved rapidly, and AI is simply the latest development in that evolution. Software Developers who embrace change and continue to sharpen their skills will remain relevant, valuable, and in demand. AI won’t replace us — it will enhance us.