The Hidden Cost of AI Coding: A $50,000 Lesson in FinTech Precision

While LLMs have democratized code generation, financial technology reveals their critical weakness: tiny errors compound into massive portfolio discrepancies. A 0.1% miscalculation in a dividend model becomes a $50,000+ error over 20 years, making 99% accuracy essentially useless for FinTech. The article argues developers must shift from code producers to verification architects—precision and trust trump AI shortcuts in domains where calculations cascade.