Enterprise AI is in 1991. Where’s its web?

Enterprise AI today feels strangely familiar: The infrastructure is powerful. The capabilities are real. The demonstrations are impressive. Models can write, summarize, reason, code, search, retrieve, translate, classify, plan, and increasingly act. The raw machinery is there.  And yet, inside companies, the same pattern keeps repeating: pilots everywhere, transformation nowhere near the promise. The first article in this series argued that large language models were never built to run a comp...