Developers are integrating AI models into inappropriate system components, causing software failures and performance degradation

AI implementation in wrong architectural layers is creating systemic failures rather than solving problems

Organizations are prioritizing AI adoption without properly evaluating where AI actually adds value

Misplaced AI integration leads to increased complexity, maintenance burden, and reduced software reliability

Best practices require strategic placement of AI tools aligned with actual business needs, not just trendy adoption