Lost in translation: Why semantic chaos is the real AI risk

The article warns that "semantic chaos"—the lack of shared business definitions—poses a major risk to enterprise AI by enabling models to confidently scale errors and drive costly organizational mistakes. To mitigate this, companies must implement a governed semantic layer that provides a standardized source of truth, ensuring AI accuracy while reducing redundant compute costs.