Why Generative AI Fails — How State AI Delivers and Cuts Cost

Have you tried using AI to solve a problem, only to end up with unpredictable or inaccurate results? One key reason is that we often rely on generative AI (G-AI), which produces outputs that can vary significantly over time. Today’s result might differ tomorrow, even with the same input. This is the nature of G-AI — it’s dynamic, evolving, and influenced by continuous training, feedback, and platform updates.