The term "vibe coding," coined by Andrej Karpathy in early 2025, describes AI-assisted software development through natural-language prompting. Tools like Cursor and Replit now enable non-engineers to build functional applications in days rather than months. This acceleration creates a dangerous gap between idea and implementation, as marketing managers can ship customer-facing apps without proper oversight or understanding of potential risks.

Recent failures illustrate the risks. Replit's AI coding agent accidentally deleted a production database affecting over 1,200 executives and 1,100 companies. Klarna's AI assistant required human intervention despite claims of handling hundreds of customer service agents. These cases reveal a pattern: AI-generated code may appear functional but lacks contextual awareness of regulations, customer needs, or operational constraints.

The real bottleneck in the AI era isn't production capability but discernment. Companies need organizational systems to distinguish between demos and deployable products. Without clear decision rights, override culture, and contextual intelligence, businesses will face increasing liabilities from AI-generated tools that bypass established quality controls. The companies that thrive will be those that implement judgment frameworks, not just faster coding tools.