AI tools like Claude Code and OpenAI's Codex generate high-quality code so efficiently and cheaply that small firms may no longer have a business case for hiring junior developers, effectively removing the bottom rung of the career ladder.
As LLMs excel at producing functional code, human value is shifting to higher-level skills. Graduates must now demonstrate proficiency in system design, architectural decision-making, and identifying business needs, rather than just raw coding output.
Generic AI and software skills are becoming commoditized. Graduates who combine AI fluency with deep knowledge in a specific domain like healthcare or finance have a significant advantage, as they can solve specific, real-world problems and differentiate themselves from thousands of similar resumes.
The significant drop in computer science enrollment due to AI fears parallels the decline during the dot-com bust, which was driven by offshoring concerns. That period was followed by a strong industry recovery, suggesting the current downturn may also be a cyclical overreaction.