AI doesn’t fail because it’s wrong — It fails because you overload it

Early-stage teams don’t lose to better-funded competitors. They lose to compounding drag. And right now, AI is introducing a new kind: the illusion of speed without systems. Most conversations about AI in software development still fixate on accuracy: Is the model good enough? Is it hallucinating? Can it replace engineers? But in practice, AI fails […] The post AI doesn’t fail because it’s wrong — It fails because you overload it appeared first on e27 .