https://fortune.com/2025/11/11/why-ai-adoption-is-failing-seven-mistakes/
November 11, 2025

Mistake #1: The business goal isn’t crystal clear
The fix: Be precise. Be clear. Take the time up front to crystallize the problem and expected ROI with all stakeholders right off the bat.

Mistake #2: The project is poorly managed

Mistake #3: You’re overpromising. Believing AI will solve everything is a recipe for disappointment

Mistake #4: Vastly underestimating the resources required

Mistake #5: Ignoring reality

Mistake #6: No offense, but your data quality is bad

Mistake #7: Think the project’s done? Not quite
While AI projects may have a clear start and finish, the work doesn’t end when the model is operationalized. AI systems are dynamic and models can drift, data can evolve and outputs can degrade over time. Treating AI like a “set it and forget it” initiative is a costly mistake. Without continuous monitoring, evaluation, and updates, your AI solution may lose accuracy, relevance, and trustworthiness.