Why Most AI Adoption Stalls
Most AI adoption does not fail because the models are inaccessible. It stalls because organizations stop at access and never design an operating model around use.
Analytical reports, operational frameworks, and research notes from WBA's independent practice.
Most AI adoption does not fail because the models are inaccessible. It stalls because organizations stop at access and never design an operating model around use.
Serious AI use stops asking which model is best and starts asking which model is best for this step of the workflow.
Organizations collectively spend trillions on technology initiatives, yet roughly 70% fail to deliver promised returns. The failure is rarely technological — the platforms work. The problem is that technology cannot fix a broken process; it can only execute that broken process faster.