AI Is Not the Bottleneck - Your Program Design Is

When AI “fails,” it usually isn’t because the model is incapable. It’s because the program around it assumes a level of stability that AI systems simply don’t have. Impact comes from changing decisions and workflows, not from generating better predictions.