The Impact of AI on the Future of Software Development

Feranmi Olaseinde

Hatched by Feranmi Olaseinde

Feb 18, 2024

3 min read


The Impact of AI on the Future of Software Development


As technology continues to advance, the role of artificial intelligence (AI) in various industries becomes increasingly prominent. One area where AI is making waves is in the field of software development. With the introduction of AI-powered tools like Github Copilot and ChatGPT, developers are experiencing a significant increase in productivity. However, this advancement also raises concerns about the future of the profession and the potential impact on the wage gap between software engineers and other professionals.

Democratizing Software Development:

Researchers have found that developers who have access to Github Copilot complete programming tasks faster, with less experienced developers benefiting the most. This suggests that AI-powered tools like Copilot have the potential to democratize the pay structure for software engineers. Siva Sivakolunthu, an engineering manager, believes that technologies like Copilot and ChatGPT will close the pay gap between engineers and other professions. He envisions a broader talent pool entering software development, with individuals capitalizing on AI pair programming to enhance their coding skills.

Deskilling and the Future of Programming:

The introduction of AI-powered developer tools also raises the issue of deskilling. A study conducted by Andres Comparo and Michele Vacarro at the MIT Center for Collective Intelligence revealed that non-programmers were able to create websites almost as quickly as programmers when using AI tools. This suggests that skilled labor in programming may be replaced by semi- or unskilled workers operating AI technologies. The authors of the study noted that this could lead to a significant reduction in wages for programmers, as less skilled individuals take over their roles.

The Evolution of Programming:

AI is seen as the evolution of programming, similar to how integrated development environments (IDEs) and application programming interfaces (APIs) revolutionized the field in the past. AI-powered tools like generative AI lower the barrier to entry for programming, creating new possibilities. Business analysts, for example, may evolve to become high-level programmers as AI converts user stories to code. Likewise, product managers could prompt AI to create functional prototypes. This shift in roles and responsibilities within the software development industry may lead to a concentration of compensation and wealth among senior engineers who work on AI and emerging technologies.

Actionable Advice:

  • 1. Embrace AI as a tool for productivity enhancement: Instead of fearing the potential deskilling effects of AI, software developers should view AI-powered tools as a means to accelerate development and reduce tedious coding tasks. Embrace these tools and leverage them to your advantage.
  • 2. Focus on developing high-level programming skills: As AI takes over simpler tasks in software development, it becomes crucial for junior developers to focus on developing high-level programming skills that require a deep understanding of context and outliers. This will make them more valuable in the AI era and less susceptible to being replaced by AI technologies.
  • 3. Stay updated with emerging technologies: To thrive in the AI era, it is essential for software developers to stay updated with emerging technologies. By constantly learning and adapting to new tools and advancements, developers can position themselves as valuable assets within the industry.


The rise of AI in software development brings both opportunities and challenges. While AI-powered tools like Github Copilot and ChatGPT have the potential to democratize the field and increase productivity, they also raise concerns about deskilling and the concentration of wealth among senior engineers. To navigate these changes, software developers must embrace AI as a productivity-enhancing tool, focus on developing high-level programming skills, and stay updated with emerging technologies. By doing so, they can adapt to the evolving landscape of software development and thrive in the AI era.

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