The next AI advantage isn’t a bigger model — it’s a better semantic layer

The article argues that the biggest constraint on enterprise AI is no longer model capability, but whether the organization has a shared semantic layer that gives business terms like “active customer,” “at-risk,” and “revenue” consistent meaning across systems and teams. For CIOs and technology leaders, the strategic implication is clear: agentic AI can turn long-standing definition mismatches into costly automated decisions, so IT must prioritize semantic governance, cross-functional alignment, and business metadata management before scaling AI pilots into production.