
From Promise to Proof: What Enterprise AI Must Deliver in 2026
By 2026, enterprise AI moves from demos to decisions: “talk to your data” has largely failed at scale not because the ambition was wrong, but because AI lacks shared, governed meaning, leading to drift, inconsistency, and lost trust. The winners will be organizations that own and operationalize meaning through a true semantic layer—prioritizing trust, sovereignty, and fast time-to-value over novelty and raw model power.

