With the increasing prevalence of AI-generated code, Chief Information Security Officers (CISOs) in the cybersecurity field are expressing concerns that junior developers' over-reliance on AI tools may weaken their fundamental skills, creating significant blind spots in the future. Many developers see AI coding assistants like ChatGPT as tools to boost productivity, but this convenience carries long-term risks.

Observations show that entry-level developers face challenges in deeply understanding systems. They can generate functional code snippets but often struggle to explain the underlying logic or ensure its security. A Microsoft study also indicated that AI-dependent employees engage less in questioning, analysis, and evaluation at work, potentially impacting their critical thinking abilities. While AI tools can boost short-term efficiency, this reliance may weaken developers' innovation and adaptability in the long run.

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Some CISOs are particularly worried about junior developers heavily reliant on AI tools, who often prioritize whether the code runs rather than how it works. Relying on AI-generated code can lead to security vulnerabilities because this code may not meet an organization's specific security requirements. Furthermore, using AI-generated code can raise legal issues regarding compliance and intellectual property, as these tools might inadvertently introduce unverified or potentially risky code.

As AI technology continues to evolve, organizations must take steps to ensure developers maintain critical thinking and a strong technical foundation while using AI. Some experts suggest focusing on candidates' security reasoning and architectural thinking during recruitment, not just coding skills. Organizations should also strengthen employee training to help them understand the advantages and limitations of AI, ensuring human oversight in security-sensitive environments.

While AI offers convenience in software development, over-reliance can lead to profound negative consequences. Organizations need to foster a culture where AI serves as a supporting tool, not a "fix" that replaces deep human expertise.