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.
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.
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.
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.