Why most AI pilots fail to scale
- May 4
- 1 min read
FAST COMPANY — In most organizations, the limiting factor isn’t the technology. It’s the foundation around it: Data architecture. Integration through APIs. Governance. Process redesign. Performance. These are not the headlines in AI, but essentials for scaling AI across a business. Without them, even the most advanced models can remain isolated experiments.
And AI transformation is not just technical. It changes how people work together and how decisions are made. Judgment, creativity, and accountability remain human responsibilities. That means leaders must think just as carefully about operating models, ethics, and workforce design as they do about model selection.
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