In This Blog
- Podcast Episode
- Can AI Replace Human Developers?
- AI and Software Engineer Education
- Will AI Cause Job Losses?
TL;DR
- AI is transforming software development, but it is not replacing developers.
- Tools like ChatGPT and GitHub Copilot improve productivity but still require human oversight.
- Education and career paths for developers are evolving as AI takes on more repetitive work.
- While some roles may change, AI is more likely to shift jobs than eliminate them entirely.
- Developers who continue learning and adapting will benefit the most from AI advancements.
Podcast Episode
Artificial Intelligence (AI) is no longer just a buzzword—it is actively reshaping industries, and software engineering is right at the center of that shift.
In this Emergent Podcast episode, Mark Bajema, CTO at Emergent Software, shares his perspective on how AI is influencing the future of software development. The conversation covers everything from how developers are using AI today to how it may impact education, career paths, and long-term industry trends.
Can AI Replace Human Developers?
AI tools like ChatGPT and GitHub Copilot are becoming a normal part of the development process. They can generate code, assist with debugging, and even help review work. This has already made developers more productive, especially when it comes to repetitive or time-consuming tasks.
That said, these tools are far from perfect. They still make mistakes, lack context, and do not fully understand business requirements or long-term system design. Mark emphasizes that human oversight is still critical. AI can assist developers, but it does not replace the experience and judgment that comes from real-world problem solving.
Looking ahead, there may be new roles that focus more on guiding and orchestrating AI tools rather than writing every line of code manually. Even in that scenario, experienced engineers will still be needed to design systems, make architectural decisions, and ensure quality. In many ways, AI may give developers more time to focus on higher-value work instead of routine tasks.
AI and Software Engineer Education
Another key topic in the discussion is how AI could impact education. Mark believes software engineering remains an important subject at every level, but the way it is taught may evolve over time.
Right now, there are already many tools available to support learning that are not fully being used in classrooms. Because of that, AI may not immediately transform how students learn to code, but it has the potential to play a much larger role in the future.
The conversation also touches on how AI might affect early career developers. If AI takes on more entry-level coding tasks, the traditional path from junior to senior developer may shift. Instead of focusing heavily on basic coding, junior developers may spend more time learning through collaboration, shadowing senior engineers, and understanding systems at a higher level.
This shift could change how experience is built, but it does not remove the need for new developers. It simply means the skillset may evolve to include more problem solving, system thinking, and the ability to work alongside AI tools effectively.
Will AI Cause Job Losses?
When it comes to job impact, Mark compares AI to previous technological shifts. Some industries, like farming, saw a reduction in jobs due to automation. However, those industries also had natural limits, such as available land and demand.
Software development is different. It is closer to manufacturing, where increased productivity often leads to lower costs, higher demand, and ultimately more opportunities. As AI makes development faster and more efficient, it could actually increase the demand for software solutions.
That does not mean there will be no changes. Certain tasks and roles may shift or become less common, but new opportunities will emerge. The key for developers is staying current. This has always been true in software engineering, even before AI. Technology evolves quickly, and those who continue to learn and adapt are the ones who succeed long-term.
One of the biggest risks is not AI itself, but falling behind by not keeping skills up to date. Developers working in environments that do not prioritize learning or modern tools may find themselves at a disadvantage over time.
Want to work for a company that embraces cutting edge technology, including AI? Emergent Software is hiring!
Or talk to us about your custom software development project.
How Emergent Software Can Help
We help organizations adopt AI in a practical, scalable way as part of their broader software strategy. Whether you are exploring AI-powered development, building custom applications, or modernizing your technology stack, our team brings experience across custom software development, cloud, and data engineering. If this sounds familiar, we can help.
Final Thoughts
AI is changing how software is built, but it is not replacing the need for strong engineering. Instead, it is shifting where developers spend their time and how they create value. Teams that embrace AI thoughtfully can move faster, reduce repetitive work, and focus more on solving meaningful problems.
The biggest takeaway is that adaptability matters. Developers and organizations that stay curious, keep learning, and experiment with new tools will be in the best position to benefit from what AI makes possible.
If you're ready to explore how AI can fit into your software strategy, Emergent Software is here to help. Reach out — we'd love to learn more about your goals.
Frequently Asked Questions
Can AI replace software developers?
AI can assist developers by handling repetitive tasks like writing simple code, debugging, and generating suggestions. However, it cannot replace human developers entirely. Developers bring context, creativity, and problem-solving skills that AI does not fully replicate. AI still requires oversight to ensure accuracy and alignment with business goals. In the future, developers may work differently, but they will still play a critical role.
How is AI currently used in software development?
AI is used to improve productivity by assisting with coding, testing, and documentation. Tools like GitHub Copilot and ChatGPT help developers write code faster and reduce repetitive work. AI can also assist with debugging and identifying patterns in large codebases. While it speeds up development, it still relies on developers to guide and validate outputs. It is best viewed as a tool rather than a replacement.
Will AI change how developers are trained?
Yes, AI is likely to influence how developers learn and gain experience. Traditional entry-level tasks may become less common, which could shift how junior developers build skills. Instead, learning may focus more on system design, problem solving, and working alongside AI tools. Education may evolve to include AI-assisted workflows. However, foundational knowledge will still be important.
Will AI reduce software engineering jobs?
AI may change certain roles, but it is unlikely to eliminate the need for developers. As productivity increases, demand for software solutions may also grow. This can create new opportunities rather than reduce them. Historically, technology has shifted jobs rather than removed them entirely. The key is adapting to new tools and staying relevant.
What skills will developers need in an AI-driven future?
Developers will need strong problem-solving skills, system design knowledge, and the ability to work with AI tools effectively. Understanding how to guide AI and validate its output will become increasingly important. Communication and collaboration will also matter more as roles evolve. Continuous learning will remain essential. The focus will shift from writing every line of code to building and guiding systems.
How can businesses start using AI in software development?
Businesses can start by introducing AI tools into their development workflows, such as code assistants or automated testing tools. It is important to begin with small use cases and evaluate results. Teams should also establish guidelines for how AI is used and reviewed. Over time, AI can be integrated into broader development and business processes. Working with an experienced partner can help ensure a smooth and effective adoption.
